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  • Other Sources  (2,105)
  • 2020-2023  (2,105)
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  • 1
    Publication Date: 2022-12-22
    Description: This chapter aims at introducing the reader to general concepts about the main forcings of the Mediterranean Sea, in terms of exchanges through the Strait of Gibraltar, and air-sea exchanges of heat, freshwater, and momentum. These forcings are also responsible for the peculiar characteristics of Mediterranean water masses. Therefore, the chapter continues with giving a general explanation on water mass analysis, and then it describes the properties and vertical and horizontal distributions of the main Mediterranean water masses. To conclude, the reader is introduced to the use of other (biogeochemical, and chemical) tracers of water masses, with a focus on the Mediterranean Sea.
    Type: Book chapter , PeerReviewed
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  • 2
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    Springer
    In:  In: World Atlas of Submarine Gas Hydrates in Continental Margins. , ed. by Mienert, J., Berndt, C. 〈https://orcid.org/0000-0001-5055-0180〉, Tréhu, A. M., Camerlenghi, A. and Liu, C. S. Springer, Cham, pp. 451-461.
    Publication Date: 2022-01-06
    Description: The Black Sea has undergone several limnic and marine stages due to fluctuations in the global sea level. The exchange of saline water from the Mediterranean Sea to the Black Sea through the Bosporus Strait was interrupted when the sea level dropped below the Bosporus sill. This induced limnic conditions, while marine conditions were established after the reconnection to saline Mediterranean seawater. Extended river fan systems developed during sea level low-stands, providing large amounts of organic material being buried by rapid sedimentation on the slopes of the Black Sea margins. The biogenic degradation of this material produces most of the methane gas expelled into the anoxic water column today. This largely happens by ubiquitous cold vents at ~700 m water depth (i.e. at the stability boundary of methane hydrates) and by mud volcanoes in ~2000 m water depth. A significant amount of gas is expected to accumulate in the sediment within the methane hydrate stability zone. However, bottom-simulating reflectors, the seismic indicator for gas hydrates, are not found everywhere along the margin. Recent analyses of the Danube and Dniepr fans have revealed a discontinuous gas hydrate formation in an area with no active seeps, while areas of active seepage located in the vicinity of BSR reflections held no gas hydrates. In addition, the ongoing diffusion of salt into the uppermost Black Sea sediment pore space since the last glacial maximum further reduces the volume of the gas hydrate stability zone. Estimates of the total amount of gas stored in gas hydrates therefore require a detailed structural analysis prior to regional- or basin-scale modelling attempts.
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  • 3
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    Springer
    In:  In: World Atlas of Submarine Gas Hydrates in Continental Margins. , ed. by Mienert, J., Berndt, C. 〈https://orcid.org/0000-0001-5055-0180〉, Tréhu, A. M., Camerlenghi, A. and Liu, C. S. Springer, Cham, pp. 73-85.
    Publication Date: 2022-01-20
    Description: Marine electromagnetic methods provide useful and independent measures for the identification and quantification of submarine gas hydrates. The resistivity of seafloor sediments, drawn from area-wide electromagnetic data, mainly depends on the sediment porosity and the nature of the pore fluid. Gas hydrates and free gas are both electrically resistive. The replacement of saline water, thus conductive pore water with resistive gas hydrate or free gas, increases the sediment resistivity and can be used to provide accurate saturation estimates if the background lithology is known. While seismic methods are predominantly used to study the distribution of submarine gas hydrates, a growing number of global field studies have demonstrated that the joint interpretation of marine seismic and electromagnetic methods improves the evaluation of submarine gas hydrate targets. This article discusses the relationship between resistivity and free gas/gas hydrate saturation levels, how the resistivity of the sediment may be measured and summarizes the status and results of current and past field studies.
    Type: Book chapter , NonPeerReviewed
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  • 4
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    In:  GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, 3 pp.
    Publication Date: 2022-01-21
    Description: 15.01.2022 – 15.02.2022, Guayaquil (Ecuador) – Valparaiso (Chile)
    Type: Report , NonPeerReviewed
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  • 5
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    Wissenschaftsrat
    In:  Wissenschaftsrat, Köln, Germany, 132 pp.
    Publication Date: 2022-01-28
    Description: Das wissenschaftliche Publizieren hat im Zuge der Digitalisierung große Veränderungen erfahren. Angetrieben von der wissenschaftlichen Community ist in den letzten zwanzig Jahren nicht zuletzt die Umstellung auf einen offenen Zu-gang zu Forschungsergebnissen (Open Access) vorangeschritten, auch wenn sie noch keineswegs flächendeckend erfolgt ist. Wenn von der „Transformation“ des wissenschaftlichen Publizierens die Rede ist, so ist deshalb häufig primär die Umstellung der hinter der Verbreitung wissenschaftlicher Publikationen stehenden Geschäftsmodelle gemeint, die darin besteht, für das Publizieren statt für den Lesezugriff zu zahlen. Dieser Paradigmenwechsel verändert die Finanzströme und die Rollen der Akteure im wissenschaftlichen Publikationssystem grundlegend. Vor diesem Hintergrund hat sich der Wissenschaftsrat mit der Transformation des wissenschaftlichen Publizierens zu Open Access befasst. In den Empfehlungen wird das Ziel der unmittelbaren und dauerhaften offenen Zugänglichkeit von wissenschaftlichen Publikationen genauer umschrieben. Es werden Schlussfolgerungen dazu gezogen, welche institutionellen und finanziellen Rahmenbedingungen geschaffen werden müssen, um dieses Ziel zu erreichen. Der Wissenschaftsrat richtet sich mit diesen Empfehlungen sowohl an die Wissenschaftlerinnen und Wissenschaftler, die wissenschaftlichen Einrichtungen, ihre Leitungen und die Forschungsförderorganisationen als auch an die Bibliotheken, deren Aufgaben und Selbstverständnis sich durch die Transformation erheblich verändern. Mit dem vorliegenden Papier möchte der Wissenschaftsrat dazu beitragen, dass diese Transformation zügig voranschreitet und dabei die Leistungsfähigkeit des Publikationssystems für Wissenschaft und Gesellschaft gesteigert wird. Angesichts der ständigen Weiterentwicklung von Publikationen als digitale Objekte ist es weiterhin die Absicht des Wissenschaftsrats, das Publikationssystem mit seinen Vorschlägen für weitere, derzeit noch nicht absehbare Veränderun-gen offen zu halten. Zur Vorbereitung dieser Empfehlungen hat der Wissenschaftsrat eine Arbeitsgruppe eingesetzt, die im April 2020 ihre Arbeit im virtuellen Raum aufgenommen hat. In ihr haben auch Sachverständige mitgewirkt, die nicht Mitglieder des Wissenschaftsrats sind. Ihnen weiß sich der Wissenschaftsrat zu besonderem Dank verpflichtet. Ebenso dankt der Wissenschaftsrat weiteren Sachverständigen, die den Beratungsprozess im Rahmen von Expertengesprächen und mit Hintergrundinformationen konstruktiv unterstützt haben. Besonderer Dank gilt außerdem der Zentralbibliothek des Forschungszentrums Jülich sowie der Max Planck Digital Library für die Unterstützung mit Daten und Analysen. Der Wissenschaftsrat hat die Empfehlungen zur Transformation des wissenschaftlichen Publizierens zu Open Access am 21. Januar 2022 verabschiedet.
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  • 6
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    In:  UNSPECIFIED, 5 pp.
    Publication Date: 2022-01-31
    Description: Fahrtabschnitt 24.01. – 30.01.2022
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  • 7
    Publication Date: 2022-01-31
    Description: The opening of the North Atlantic about 56 My ago was associated with the emplacement of the North Atlantic Igneous Province, including the deposition of voluminous extrusive basaltic successions and intrusion of magma into the surrounding sedimentary basins. The mid-Norwegian Margin is a global type example of such volcanic rifted margins and is well suited for scientific drilling with its thin sediment cover and good data coverage. During International Ocean Discovery Program Expedition 396, 21 boreholes were drilled at 10 sites in five different geological settings on this volcanic margin. The boreholes sampled a multitude of igneous and sedimentary settings ranging from lava flow fields to hydrothermal vent complexes, along with thick successions of upper Paleocene and lower Eocene strata. A comprehensive suite of wireline logs was collected in eight boreholes. The main goals of the expedition were to provide constraints for geodynamic models to test different hypotheses that can explain the rapid emplacement of large igneous provinces and the hypothesis that the associated Paleocene/Eocene Thermal Maximum was caused by hydrothermal release of carbon in response to magmatic intrusions. Successful drilling, combined with high core recovery of target intervals of all nine primary sites and one additional alternate site, should allow us to achieve these goals during postcruise work.
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  • 8
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    GEOMAR Helmholtz Centre for Ocean Research Kiel
    In:  Alkor-Berichte, AL553 . GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany, 17 pp.
    Publication Date: 2022-02-04
    Description: April 15th – April 24th 2021 Kiel (Germany) – Kiel (Germany) BALTIC APRIL 2021
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  • 9
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    In:  GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, 3 pp.
    Publication Date: 2022-02-07
    Description: 15.01.2022 – 15.02.2022, Guayaquil (Ecuador) – Valparaiso (Chile)
    Type: Report , NonPeerReviewed
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  • 10
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    In:  GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, 3 pp.
    Publication Date: 2022-02-07
    Description: 15.01.2022 – 15.02.2022, Guayaquil (Ecuador) – Valparaiso (Chile)
    Type: Report , NonPeerReviewed
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  • 11
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-02-16
    Description: 15.01.2022 – 15.02.2022, Guayaquil (Ecuador) – Valparaiso (Chile)
    Type: Report , NonPeerReviewed
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  • 12
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-02-16
    Description: 15.01.2022 – 15.02.2022, Guayaquil (Ecuador) – Valparaiso (Chile)
    Type: Report , NonPeerReviewed
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  • 13
    Publication Date: 2022-02-17
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 14
    Publication Date: 2022-02-21
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  • 15
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    GEOMAR
    Publication Date: 2022-02-22
    Description: Expedition SO287 – CONNECT 11.12.2021 - 11.01.2022 Las Palmas-Guayaquil Wochenbericht Nr. 4 27.12.2021- 02.01.2022
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  • 16
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    GEOMAR
    Publication Date: 2022-02-22
    Description: Expedition SO287 – CONNECT 11.12.2021 - 11.01.2022 Las Palmas-Guayaquil Wochenbericht Nr. 5 03. - 10.01.2022
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  • 17
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    Universität Hamburg
    Publication Date: 2022-02-23
    Description: Fahrtabschnitt 31.01. – 01.02.2022
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  • 18
    Publication Date: 2022-02-25
    Description: Visualisation of 5-daily near-surface speed (100m depth) projected on surface elevation combined with sea ice cover from the high-resolution VIKING20X simulation for the period 2000 to 2009
    Type: Video , NonPeerReviewed
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  • 19
    Publication Date: 2022-02-28
    Keywords: Course of study: MSc Biological Oceanography
    Type: Thesis , NonPeerReviewed
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  • 20
    Publication Date: 2022-03-07
    Description: January 24th – February 1st 2022 Kiel (Germany) – Kiel (Germany) Winter cod 2021-25
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  • 21
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    GEOMAR
    Publication Date: 2022-03-08
    Description: FS MARIA S. MERIAN - MSM106 (26.02. - 19.03.2022) 2. Wochenbericht (28.2. – 6.3.2022)
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  • 22
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    Universität Hamburg
    Publication Date: 2022-03-11
    Description: 1. Wochenbericht FS Alkor Reise 569, Fahrtabschnitt 02.03.-05.03.2022
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  • 23
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    GEOMAR
    Publication Date: 2022-03-17
    Description: FS MARIA S. MERIAN - MSM106 (26.02. – 19.03.2022) 3. Wochenbericht (07.03. – 13.03.2022)
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  • 24
    Publication Date: 2022-03-21
    Description: In this paper, the existence (invariance) and stability (locally and globally) of relay interlayer synchronisation (RIS) are investigated in a chain of multiplex networks. The local dynamics of the nodes in the symmetric positions layers on both sides of the non-identical middlemost layer(s) are identical. The local and global stability conditions for this synchronisation state are analytically derived based on the master stability function approach and by constructing a suitable Lyapunov function, respectively. We propose an appropriate demultiplexing process for the existence of the RIS state. Then the variational equation transverse to the RIS manifold for demultiplexed networks is derived. In numerical simulations, the impact of interlayer and intralayer coupling strengths, variations of the system parameter in the relay layers and demultiplexing on the emergence of RIS in triplex and pentaplex networks are explored. Interestingly, in this multiplex network, enhancement of RIS is observed when a type of impurity via parameter mismatch in the local dynamics of the nodes is introduced in the middlemost layer. A common time-lag with small amplitude shift between the symmetric positions and central layers plays an important role for the enhancing of relay interlayer synchrony. This analysis improves our understanding of synchronisation states in multiplex networks with nonidentical layers.
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  • 25
    Publication Date: 2022-03-21
    Description: We investigate the response characteristics of a two-dimensional neuron model exposed to an externally applied extremely low frequency (ELF) sinusoidal electric field and the synchronization of neurons weakly coupled with gap junction. We find, by numerical simulations, that neurons can exhibit different spiking patterns, which are well observed in the structure of the recurrence plot (RP). We further study the synchronization between weakly coupled neurons in chaotic regimes under the influence of a weak ELF electric field. In general, detecting the phases of chaotic spiky signals is not easy by using standard methods. Recurrence analysis provides a reliable tool for defining phases even for noncoherent regimes or spiky signals. Recurrence-based synchronization analysis reveals that, even in the range of weak coupling, phase synchronization of the coupled neurons occurs and, by adding an ELF electric field, this synchronization increases depending on the amplitude of the externally applied ELF electric field. We further suggest a novel measure for RP-based phase synchronization analysis, which better takes into account the probabilities of recurrences.
    Description: We investigate the response characteristics of a two-dimensional neuron model exposed to an externally applied extremely low frequency (ELF) sinusoidal electric field and the synchronization of neurons weakly coupled with gap junction. We find, by numerical simulations, that neurons can exhibit different spiking patterns, which are well observed in the structure of the recurrence plot (RP). We further study the synchronization between weakly coupled neurons in chaotic regimes under the influence of a weak ELF electric field. In general, detecting the phases of chaotic spiky signals is not easy by using standard methods. Recurrence analysis provides a reliable tool for defining phases even for noncoherent regimes or spiky signals. Recurrence-based synchronization analysis reveals that, even in the range of weak coupling, phase synchronization of the coupled neurons occurs and, by adding an ELF electric field, this synchronization increases depending on the amplitude of the externally applied ELF electric field. We further suggest a novel measure for RP-based phase synchronization analysis, which better takes into account the probabilities of recurrences
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  • 26
    Publication Date: 2022-03-21
    Description: The data file `CENOGRID_Loess_20.txt` contains the astronomically tuned deep-sea benthic foraminifer carbon (δ¹³C) and oxygen (δ¹⁸O) isotope reference records uniformly covering the entire Cenozoic. The first column is the tuned age in Ma, the second column the δ¹³C, and the third column the δ¹⁸O record. The original calculations were performed using the CRP Toolbox for MATLAB. In order to avoid installing the toolbox and for better performance, the functions for calculating RP and RQA were here reimplemented, providing identical result. To reproduce the RPs in Fig. 2, use the script `perform_rp.m`, for reproducing the determinism values and upper confidence bounds, use the script `perform_rqa.m`.
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  • 27
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    In:  Economics of Disasters and Climate Change
    Publication Date: 2022-03-21
    Description: This article examines the effects of extreme weather events on internal migration in Mongolia. Our focus is on dzuds , extremely harsh winters characterized by very cold temperature, snowfall anomalies, and/or storms causing very high livestock mortality. We exploit exogenous variation in the intensity of extreme winter events across time and space to identify their causal impacts on permanent domestic migration. Our database is a time series of migration and population data at provincial and district level from official population registries, spanning the 1992-2018 period. Results obtained with a two-way fixed effects panel estimator show that extreme winter events cause significant and sizeable permanent out-migration from affected provinces for up to two years after an event. These effects are confirmed when considering net change rates in the overall population at the district level. The occurrence of extreme winter events is also a strong predictor for declines in the local population of pastoralist households, the socio-economic group most affected by those events. This suggests that the abandonment of pastoralist livelihoods is an important channel through which climate affects within-country migration.
    Language: English
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  • 28
    Publication Date: 2022-03-21
    Description: Background: Women in rural Bangladesh face multiple, inter-related challenges including food insecurity, malnutrition, and low levels of empowerment. We aimed to investigate the pathway towards empowerment experienced by women participating in a three-year nutrition-sensitive homestead food production (HFP) program, which was evaluated through the Food and Agricultural Approaches to Reducing Malnutrition (FAARM) cluster-randomized controlled trial. Methods: We conducted 44 in-depth interviews and 12 focus group discussions with men and women in both intervention and control communities of the FAARM study site in rural, north-eastern Bangladesh. Using a modified grounded theory approach to data collection and analysis, we developed a framework to explain the pathway towards empowerment among HFP program participants. Results: The analysis and resulting framework identified seven steps towards empowerment: 1) receiving training and materials; 2) establishing home gardens and rearing poultry; 3) experiencing initial success with food production; 4) generating social or financial resources; 5) expanding agency in household decision-making; 6) producing renewable resources (e.g. farm produce) and social resources; and 7) sustaining empowerment. The most meaningful improvements in empowerment occurred among participants who were able to produce food beyond what was needed for household consumption and were able to successfully leverage these surplus resources to gain higher bargaining power in their household. Additionally, women used negotiation skills with their husbands, fostered social support networks with other women, and developed increased self-efficacy and motivation. Meanwhile, the least empowered participants lacked support in critical areas, such as support from their spouses, social support networks, or sufficient space or time to produce enough food to meaningfully increase their contribution and therefore bargaining power within their household. Conclusions: This study developed a novel framework to describe a pathway to empowerment among female participants in an HFP intervention, as implemented in the FAARM trial. These results have implications for the design of future nutrition-sensitive agriculture interventions, which should prioritize opportunities to increase empowerment and mitigate the barriers identified in our study. Trial registration: FAARM is registered with ClinicalTrials.gov (NCT02505711).
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  • 29
    Publication Date: 2022-03-21
    Description: The ongoing transition to renewable energy supply comes with a restructuring of power grids, changing their effective interaction topologies, more and more strongly decentralizing them and substantially modifying their input, output, and response characteristics. All of these changes imply that power grids become increasingly affected by collective, nonlinear dynamic phenomena, structurally and dynamically more distributed and less predictable in space and time, more heterogeneous in its building blocks, and as a consequence less centrally controllable. Here cornerstone aspects of data-driven and mathematical modeling of collective dynamical phenomena emerging in real and model power grid networks by combining theories from nonlinear dynamics, stochastic processes and statistical physics, anomalous statistics, optimization, and graph theory are reviewed. The mathematical background required for adequate modeling and analysis approaches is introduced, an overview of power system models is given, and a range of collective dynamical phenomena are focused on, including synchronization and phase locking, flow (re)routing, Braess’s paradox, geometric frustration, and spreading and localization of perturbations and cascading failures, as well as the nonequilibrium dynamics of power grids, where fluctuations play a pivotal role.
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  • 30
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    In:  EPL (Europhysics Letters)
    Publication Date: 2022-03-21
    Description: Partial synchronization patterns play an important role in the functioning of neuronal networks, both in pathological and in healthy states. They include chimera states, which consist of spatially coexisting domains of coherent (synchronized) and incoherent (desynchronized) dynam- ics, and other complex patterns. In this perspective article we show that partial synchronization scenarios are governed by a delicate interplay of local dynamics and network topology. Our focus is in particular on applications of brain dynamics like unihemispheric sleep and epileptic seizure.
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  • 31
    Publication Date: 2022-03-21
    Description: For light-duty vehicles (LDVs), alternative powertrains and liquid fuels based on renewable electricity are competing options considered by policymakers and stakeholders for achieving necessary CO2 emission reductions in the transport sector. While the urgency of climate change and the need to reach mitigation targets are well understood, system-wide implications along other sustainability dimensions need further exploration. We integrate a detailed transport system model into an integrated assessment framework and couple it with prospective life cycle impact analysis. This allows to assess different technological pathways of the European LDV fleet until 2050 for a comprehensive set of environmental and resource depletion indicators. Results indicate that greenhouse gas emissions drop significantly in all mitigation scenarios. However, impacts increase in several non-climate change impact categories even with fully renewable electricity supply. Additional impacts arise from the production of battery and fuel-cell components, and from a significant rise in electricity demand, most prominently for synthetic fuels. We consequently find that changes in mobility life-styles and in the relevant industrial processes are paramount to reduce environmental impacts from a climate-friendly LDV fleet across all categories.
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  • 32
    Publication Date: 2022-03-21
    Description: This repository contains the source files for processing the datasets, running the analysis, and producing the plots for the following publication: Niklas H. Kitzmann, Pawel Romanczuk, Nico Wunderling and Jonathan F. Donges (2022). Detecting contagious spreading of urban innovations on the global city network. European Physical Journal Special Topics. DOI:10.1140/epjs/s11734-022-00470-4
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  • 33
    Publication Date: 2022-03-21
    Description: Climate change increasingly affects agricultural systems, making it necessary for farmers to adapt to changing climatic conditions. An important element shaping farmers’ adaptation decisions and their vulnerability is their respective land tenure system. Especially land tenure security can strongly influence farmers’ incentives for adapting to climate change. We review the literature to understand to what extent tenure security and other land tenure characteristics affect farmers’ ability to withstand climate change and how climate change is operationalised. 106 mostly peer-reviewed studies are examined using thematic network analysis and a network of interactions between land tenure and climate change in farming contexts is devised. The results show that three main interactions link land tenure systems and climate change with regard to agricultural livelihoods: (i) land tenure characteristics influence farmers’ adaptation uptake, type and intensity, (ii) certain tenure settings contribute to vulnerability of different socio-demographic groups in agricultural systems, e.g. women, migrants and indigenous communities, and (iii) the perception of tenure security itself is affected by climate change. Yet, the concept of tenure security is poorly defined in most studies, at times resulting in misleading conclusions and leaving important research gaps with regard to optimal land tenure incentives for farmers’ adaptation response. Climate change is often simplistically integrated into the assessments, without validation and analysis of longer term trends. None of the studies reviewed provides a comprehensive and systematic treatment of the multiple dimensions linking climate change and land tenure. Further exploration and empirical validation of the connection between land tenure and climate change in agricultural systems is thus warranted. This should include a more critical engagement with the exigencies of climate change response for agricultural systems, such as the need for flexible approaches to deal with climatic uncertainty. The results of this review are relevant for informing adaptation policy, where sustainable land governance has an integral role to play. Designing smart land tenure interventions based on improved understanding of (local) interactions between land tenure and climate can support farmers in effectively addressing the adverse effects of climate change.
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  • 34
    Publication Date: 2022-03-21
    Description: An equilibrium of a delay differential equation (DDE) is absolutely stable, if it is locally asymptotically stable for all delays. We present criteria for absolute stability of DDEs with discrete time-delays. In the case of a single delay, the absolute stability is shown to be equivalent to asymptotic stability for sufficiently large delays. Similarly, for multiple delays, the absolute stability is equivalent to asymptotic stability for hierarchically large delays. Additionally, we give necessary and sufficient conditions for a linear DDE to be hyperbolic for all delays. The latter conditions are crucial for determining whether a system can have stabilizing or destabilizing bifurcations by varying time delays.
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  • 35
    Publication Date: 2022-03-21
    Description: Despite the development of sophisticated statistical and dynamical climate models, a relative long-term and reliable prediction of the Indian summer monsoon rainfall (ISMR) has remained a challenging problem. Toward achieving this goal, here we construct a series of dynamical and physical climate networks based on the global near-surface air temperature field. We show that some characteristics of the directed and weighted climate networks can serve as efficient long-term predictors for ISMR forecasting. The developed prediction method produces a forecasting skill of 0.54 (Pearson correlation) with a 5-month lead time by using the previous calendar year’s data. The skill of our ISMR forecast is better than that of operational forecasts models, which have, however, quite a short lead time. We discuss the underlying mechanism of our predictor and associate it with network–ENSO and ENSO–monsoon connections. Moreover, our approach allows predicting the all-India rainfall, as well as the rainfall different homogeneous Indian regions, which is crucial for agriculture in India. We reveal that global warming affects the climate network by enhancing cross-equatorial teleconnections between the southwest Atlantic, the western part of the Indian Ocean, and the North Asia–Pacific region, with significant impacts on the precipitation in India. A stronger connection through the chain of the main atmospheric circulations patterns benefits the prediction of the amount of rainfall. We uncover a hotspot area in the midlatitude South Atlantic, which is the basis for our predictor, the southwest Atlantic subtropical index (SWAS index). Remarkably, the significant warming trend in this area yields an improvement of the prediction skill.
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  • 36
    Publication Date: 2022-03-21
    Description: COVID-19 has revealed how challenging it is to manage global, systemic and compounding crises. Like COVID-19, climate change impacts, and maladaptive responses to them, have potential to disrupt societies at multiple scales via networks of trade, finance, mobility and communication, and to impact hardest on the most vulnerable. However, these complex systems can also facilitate resilience if managed effectively. This review aims to distil lessons related to the transboundary management of systemic risks from the COVID-19 experience, to inform climate change policy and resilience building. Evidence from diverse fields is synthesised to illustrate the nature of systemic risks and our evolving understanding of resilience. We describe research methods that aim to capture systemic complexity to inform better management practices and increase resilience to crises. Finally, we recommend specific, practical actions for improving transboundary climate risk management and resilience building. These include mapping the direct, cross-border and cross-sectoral impacts of potential climate extremes, adopting adaptive risk management strategies that embrace heterogenous decision-making and uncertainty, and taking a broader approach to resilience which elevates human wellbeing, including societal and ecological resilience.
    Language: English
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  • 37
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    In:  IEEE Transactions on Circuits and Systems I: Regular Papers
    Publication Date: 2022-03-21
    Description: This paper designs an event-triggering based communication strategy for the global attitude synchronization of a network of rigid bodies. To overcome the topological constraint on the manifold SO(3), the quaternion-based hybrid control strategy is designed using a binary logic variable, relying on the relative measurements of adjacent rigid bodies, to determine the torque orientation. The Zeno-free distributed event-triggering strategies (ETSs) are designed combining with the reset of the binary logic variable to generate discrete communication instants, where only the corresponding parts of the control inputs are updated at those discrete instants. By assuming perfect knowledge of the rigid bodies' dynamics and considering uncertainties and/or exogenous disturbances simultaneously, nominal and robust cases are analyzed to ensure the global attitude synchronization, respectively. The effectiveness of the main results is demonstrated by considering the attitude synchronization of six miniature quadrotor prototypes.
    Language: English
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  • 38
    Publication Date: 2022-03-21
    Description: This collection provides a contemporary excerpt of “Cities as complex systems”. The contributions have been submitted between April and October 2020. We briefly discuss example papers addressing the themes “urban scaling”, “urban mobility”, “flows in cities”, “spatial analysis”, “information technology and cities”, and “cities in time”. After motivating the intersection of cities and complexity, we provide an introduction and additional thoughts on urban scaling.
    Language: English
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  • 39
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    In:  IEEE Transactions on Circuits and Systems I: Regular Papers
    Publication Date: 2022-03-21
    Description: With the prevalence of COVID-19, the modeling of epidemic propagation and its analyses have played a significant role in controlling epidemics. However, individual behaviors, in particular the self-protection and migration, which have a strong influence on epidemic propagation, were always neglected in previous studies. In this paper, we mainly propose two models from the individual and population perspectives. In the first individual model, we introduce the individual protection degree that effectively suppresses the epidemic level as a stochastic variable to the SIRS model. In the alternative population model, an open Markov queueing network is constructed to investigate the individual number of each epidemic state, and we present an evolving population network via the migration of people. Besides, stochastic methods are applied to analyze both models. In various simulations, the infected probability, the number of individuals in each state and its limited distribution are demonstrated.
    Language: English
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  • 40
    Publication Date: 2022-03-21
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  • 41
    Publication Date: 2022-03-21
    Description: In industrial control systems, industrial infrastructure is often attacked by hackers. Due to the serious sample imbalance in industrial control data, the traditional machine learning method has poor performance in anomaly detection. In this paper, TrAdaboost algorithm is applied to industrial control anomaly detection. The samples that are easy to classify are taken as the source domain data, and the samples with poor classification effect are taken as the target domain. The source domain data is used to guide the target domain data training. Then, we improve the traditional TrAdaboost algorithm from two aspects of initial weight and final classifier, and apply it to industrial control anomaly detection. Finally, the performance of the algorithm on two different industrial control data sets is verified. And the improved algorithm is compared with other traditional algorithms. The experimental results show that the improved TrAdaboost algorithm has a significant advantage in predicting categories with a small sample size. This algorithm can accurately identify a few abnormal samples. Moreover, the F1 value, recall and precision value of the improved TrAdaboost algorithm on the two data sets have been significantly improved. This indicates that the improved TrAdaboost algorithm greatly improves the overall prediction accuracy of the model.
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  • 42
    Publication Date: 2022-03-21
    Description: To date, most regional and global hydrological models either ignore the representation of cropland or consider crop cultivation in a simplistic way or in abstract terms without any management practices. Yet, the water balance of cultivated areas is strongly influenced by applied management practices (e.g. planting, irrigation, fertilization, harvesting). The SWAT+ model represents agricultural land by default in a generic way where the start of the cropping season is driven by accumulated heat units. However, this approach does not work for tropical and sub-tropical regions such as the sub-Saharan Africa where crop growth dynamics are mainly controlled by rainfall rather than temperature. In this study, we present an approach on how to incorporate crop phenology using decision tables and global datasets of rainfed and irrigated croplands with the associated cropping calendar and fertilizer applications in a regional SWAT+ model for Northeast Africa. We evaluate the influence of the crop phenology representation on simulations of Leaf Area Index (LAI) and Evapotranspiration (ET) using LAI remote sensing data from Copernicus Global Land Service (CGLS) and WaPOR ET data respectively. Results show that a representation of crop phenology using global datasets leads to improved temporal patterns of LAI and ET simulations especially for regions with a single cropping cycle. However, for regions with multiple cropping seasons, global phenology datasets need to be complemented with local data or remote sensing data to capture additional cropping seasons. In addition, the improvement of the cropping season also helps to improve soil erosion estimates, as the timing of crop cover controls erosion rates in the model. With more realistic growing seasons, soil erosion is largely reduced for most agricultural Hydrologic Response Units (HRUs) which can be considered as a move towards substantial improvements over previous estimates. We conclude that regional and global hydrological models can benefit from improved representations of crop phenology and the associated management practices. Future work regarding the incorporation of multiple cropping seasons in global phenology data is needed to better represent cropping cycles in regional to global hydrological models.
    Language: English
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  • 43
    Publication Date: 2022-03-21
    Description: Land management practices can reduce the environmental impact of agricultural land use and production, improve productivity, and transform cropland into carbon sinks. In our study we assessed the biophysical and biogeochemical impacts and the potential contribution of cover crop practices to sustainable land use. We applied the process-based, global dynamic vegetation model LPJmL (Lund–Potsdam–Jena managed Land) V. 5.0-tillage-cc with a modified representation of cover crops to simulate the growth of grasses on cropland in periods between two consecutive main crops' growing seasons for near-past climate and land use conditions. We quantified simulated responses of agroecosystem components to cover crop cultivation in comparison to bare-soil fallowing practices on global cropland for a period of 50 years. For cover crops with tillage, we obtained annual global median soil carbon sequestration rates of 0.52 and 0.48 t C ha−1 yr−1 for the first and last decades of the entire simulation period, respectively. We found that cover crops with tillage reduced annual nitrogen leaching rates from cropland soils by medians of 39 % and 54 % but also the productivity of the following main crop by an average of 1.6 % and 2 % for the 2 analyzed decades. The largest reductions in productivity were found for rice and modestly lowered ones for maize and wheat, whereas the soybean yield revealed an almost homogenously positive response to cover crop practices replacing bare-soil fallow periods. The obtained simulation results of cover crop with tillage practices exhibit a good ability of the model version to reproduce observed effects reported in other studies. Further, the results suggest that having no tillage is a suitable complementary practice to cover crops, enhancing soil carbon sequestration and the reduction in nitrogen leaching, while reducing potential trade-offs with the main-crop productivity due to their impacts on soil nitrogen and water dynamics. The spatial heterogeneity of simulated impacts of cover crops on the variables assessed here was related to the time period since the introduction of the management practice as well as to environmental and agronomic conditions of the cropland. This study supports findings of other studies, highlighting the substantial potential contribution of cover crop practices to the sustainable development of arable production.
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  • 44
    Publication Date: 2022-03-21
    Description: The Mid-Brunhes Transition (MBT) refers to the change in the amplitude of glacial-interglacial cycles around 430 ka BP, with more pronounced, warmer interglacials after ca. 430 ka BP. Despite the advances in the understanding of glacial cycles, the cause and mechanism of the MBT are still not entirely clear. In this study we examine (i) whether the MBT is caused by a change in the intrinsic dynamics of glacial cycles and (ii) how important the systematic changes of the orbital elements across the MBT are for the occurrence of the MBT. In order to address these questions, we take a pure machine-learning approach. We develop an artificial neural network model which provides a skilful 21-ka ahead prediction of glacial-interglacial changes in the LR04 benthic δ18O stack record as well as a sea level reconstruction obtained by an inverse model. This allows us to predict the interglacial levels from glacial conditions. Although the neural network model is trained over a pre-MBT period of 900–450 ka BP, it exhibits the intensification of interglacials after 450 ka BP. This suggests that the dynamical characteristics generating the stronger post-MBT interglacials is inherent already before the MBT. When the neural network model is forced by a hypothetical insolation for which the amplitude of the obliquity cycles is kept at pre-MBT level, the MBT-like phenomenon does not appear in our simulations. In line with earlier suggestions, our results thus give quantitative evidence that the MBT is caused by amplitude changes of the obliquity forcing. For comparison, our results suggest that the change in the mean eccentricity level across the MBT has a smaller impact on the appearance of the MBT.
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  • 45
    Publication Date: 2022-03-21
    Description: In this study, we provide a dynamical systems perspective to the modelling of pathological states induced by tumors or infection. A unified disease model is established using the innate immune system as the reference point. We propose a two-layer network model for carcinogenesis and sepsis based upon the interaction of parenchymal cells and immune cells via cytokines, and the co-evolutionary dynamics of parenchymal, immune cells, and cytokines. Our aim is to show that the complex cellular cooperation between parenchyma and stroma (immune layer) in the physiological and pathological case can be qualitatively and functionally described by a simple paradigmatic model of phase oscillators. By this, we explain carcinogenesis, tumor progression, and sepsis by destabilization of the healthy homeostatic state (frequency synchronized), and emergence of a pathological state (desynchronized or multifrequency cluster). The coupled dynamics of parenchymal cells (metabolism) and nonspecific immune cells (reaction of innate immune system) are represented by nodes of a duplex layer. The cytokine interaction is modeled by adaptive coupling weights between the nodes representing the immune cells (with fast adaptation time scale) and the parenchymal cells (slow adaptation time scale) and between the pairs of parenchymal and immune cells in the duplex network (fixed bidirectional coupling). Thereby, carcinogenesis, organ dysfunction in sepsis, and recurrence risk can be described in a correct functional context.
    Language: English
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  • 46
    Publication Date: 2022-03-21
    Description: The files contain MAgPIE 4.3.5 results of reduced wood harvest and forest protection scenarios. MAgPIE requires GAMS (https://www.gams.com/) including licenses for the solvers CONOPT and (optionally) CPLEX for its core calculations. As the model benefits significantly from recent improvements in GAMS and CONOPT4 it is recommended to work with the most recent versions of both. The results of the model run here have been cleaned up to avoid bulky uploads. The fulldata.gdx is the technical output of the GAMS optimization and contains all quantities that were used during the optimization in unchanged form. The mif-file is a CSV file of a specific format and is synthetized from the fulldata.gdx by post-processing scripts. It can be read in any text editor or spreadsheet program and is well suited for a brief look at the results and for further analysis.
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  • 47
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 6. Wochenbericht 14. - 20.02.2022
    Type: Report , NonPeerReviewed
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  • 48
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 1. Wochenbericht 11.01. – 16.01.2022
    Type: Report , NonPeerReviewed
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  • 49
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 5. Wochenbericht 07. - 13.02.2022
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  • 50
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 2. Wochenbericht 17. - 23.01.2022
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  • 51
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 4. Wochenbericht 31.01. - 06.02.20222
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  • 52
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    Leibniz-Institut für Ostseeforschung Warnemünde
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN Fahrt MSM105 11.01.2022 – 23.02.2022 Walvis Bay – Mindelo BUSUC II Das Benguela-System im Klimawandel - Auswirkungen der Variabilität des physikalischen Antriebs auf den Kohlenstoff- und Sauerstoffhaushalt 3. Wochenbericht 24. - 30.01.2022
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  • 53
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    GEOMAR
    Publication Date: 2022-03-22
    Description: FS MARIA S. MERIAN - MSM106 (26.02. - 19.03.2022) 1. Wochenbericht (23. – 27.02.2022)
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  • 54
    Publication Date: 2022-03-23
    Description: This paper explores the uptake processes that different communities use with regards to their standard operating procedures and best practices Across our five case studies, we noted what made uptake processes successful or challenging and distilled a set of recommendations to further develop the OBPS’s approach to supporting communities in developing and converging methods into best practices.
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  • 55
    Publication Date: 2022-03-23
    Description: Volcanic islands are known to be a source of many natural hazards associated with active volcanism. The processes leading to the instability of their flanks, however are less well understood. The movement of an instable volcanic flank occurs in either or both of two ways; slow sliding of several cm per year (i.e. Etna, Italy) and/or the catastrophic collapse of a large portion of the edifice (i.e. Anak Krakatau, Indonesia). The conditions and precursors leading to such events are often unknown. The limited availability of high-resolution bathymetry data especially at the coast is often restricting the quantitative geomorphological investigation to the subaerial part of the volcanic island. It is essential, however, to include the entire volcanic edifice as instability affects the volcano from summit to seafloor. In this study, we test whether and in which way, the morphology of the volcanic edifice affects its instability. We combine openly available high-resolution bathymetric and topographic grids (50-150m grid spacing) to create shoreline-crossing DEMs of volcanic islands in four areas (archipelagos of Hawaii, Canaries, Mariana Islands and South Sandwich Islands). Morphological parameters, such as area, volume, height from seafloor, slope etc. of the entire volcanic edifice are derived from the DEM grids and inserted into a database. The statistical analysis of this data combined with the history of flank failure will shed light on the influence the morphology of a volcanic island has on its instability. This will lead to a better understanding of the processes involved in the movement of instable volcanic flanks.
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  • 56
    Publication Date: 2022-03-23
    Description: We consider trends in the m seasonal subrecords of a record. To determine the statistical significance of the m trends, one usually determines the p value of each season either numerically or analytically and compares it with a significance level α~. We show in great detail for short- and long-term persistent records that this procedure, which is standard in climate science, is inadequate since it produces too many false positives (false discoveries). We specify, on the basis of the family wise error rate and by adapting ideas from multiple testing correction approaches, how the procedure must be changed to obtain more suitable significance criteria for the m trends. Our analysis is valid for data with all kinds of persistence. Specifically for long-term persistent data, we derive simple analytical expressions for the quantities of interest, which allow to determine easily the statistical significance of a trend in a seasonal record. As an application, we focus on 17 Antarctic station data. We show that only four trends in the seasonal temperature data are outside the bounds of natural variability, in marked contrast to earlier conclusions.
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  • 57
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    HMC-Office, GEOMAR Helmholtz Centre for Ocean Reaearch
    Publication Date: 2022-03-24
    Description: A brief guide to better documenting research data
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  • 58
    Publication Date: 2022-03-28
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  • 59
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-03-31
    Description: Alkor Expedition AL570, Kiel – Kiel, 22. März – 11. April 2022 ; MGF-Ostsee
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  • 60
    Publication Date: 2022-03-29
    Type: Proceedings , NonPeerReviewed
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  • 61
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-04-06
    Description: Alkor Expedition AL570, Kiel – Kiel, 22. März – 11. April 2022 ; MGF-Ostsee
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  • 62
    Publication Date: 2022-04-06
    Description: Precursor signals for bifurcation-induced critical transitions have recently gained interest across many research fields. Common indicators, including variance and autocorrelation increases, rely on the dynamical system being driven by white noise. Here, we show that these metrics raise false alarms for systems driven by time-correlated noise, if the autocorrelation of the noise process increases with time. We introduce a new indicator for systems driven by non-stationary short-term memory noise, and show that this indicator performs well in situations where the classical methods fail.
    Language: English
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  • 63
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    In:  Journal of Environmental Economics and Management
    Publication Date: 2022-04-12
    Description: While carbon taxes are generally seen as a rational policy response to climate change, knowledge about their performance from an ex-post perspective is still limited. This paper analyzes the emissions and cost impacts of the UK CPS, a carbon tax levied on all fossil-fired power plants. To overcome the problem of a missing control group, we propose a policy evaluation approach which leverages economic theory and machine learning for counterfactual prediction. Our results indicate that in the period 2013–2016 the CPS lowered emissions by 6.2 percent at an average cost of €18 per ton. We find substantial temporal heterogeneity in tax-induced impacts which stems from variation in relative fuel prices. An important implication for climate policy is that whether a higher carbon tax leads to higher emissions reductions and higher costs depends on relative fuel prices.
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  • 64
    Publication Date: 2022-04-19
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  • 65
    Publication Date: 2022-04-20
    Description: Joint Forest Management (JFM) is a form of participatory forest governance that aims for protection, conservation and sustainable use of forest resources by involving local communities. The JFM reforms have been promoted to address forest and land degradation, as vital in reducing institutional uncertainty in complex environments and strengthening cooperation among resource users. We draw on theories of collective action and transaction costs assuming that the overharvesting problem can be reduced by efficient and effective rules that support cooperation between forest users in using common pool resources at the group level and explore how forest users respond to policies that aim to reduce overharvesting in Tajikistan. To this end, we used a framed field experiment involving actual forest resource users. We find a strong impact of rules and the associated transaction costs in dealing with environmental and institutional uncertainties. The experiment results indicate that the harvesting rate is likely to decrease when institutionalized mechanisms are introduced to coordinate the interdependence among resource users. The overall results suggest that the rule determining harvest on a rotational basis is effective in reducing harvesting under environmental uncertainty regardless of the existence of communication and under institutional uncertainty when communication is permitted.
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  • 66
    Publication Date: 2022-04-20
    Description: The term 'resilience' is increasingly being used in social-technical-environmental systems sciences and particularly also in the Earth system sciences. However, the diversity of resilience concepts and a certain (sometimes intended) openness of proposed definitions can lead to misunderstandings and may impede their application to complex systems modelling. We propose a guideline that aims to ease communication as well as to support systematic development of research questions and models in the context of resilience. It can be applied independently of the modelling framework or underlying theory of choice. At the heart of this guideline is a checklist consisting of four questions to be answered: (i) Resilience of what? (ii) Resilience regarding what? (iii) Resilience against what? (iv) Resilience how? We refer to the answers to these resilience questions as the "system", the "sustainant", the "adverse influence", and the "response options". The term 'sustainant' is a neologism describing the feature of the system (state, structure, function, pathway, ...) that should be maintained (or restored quickly enough) in order to call the system resilient. The use of this proposed guideline in the field of Earth system resilience is demonstrated for the application example of a potential climate tipping element: the Amazon rainforest. The example illustrates the diversity of possible answers to the checklist's questions as well as their benefits in structuring the modelling process. The guideline supports the modeller in communicating precisely what is actually meant by 'resilience' in a specific context. This combination of freedom and precision could help to advance the resilience discourse by building a bridge between those demanding unambiguous definitions and those stressing the benefits of generality and flexibility of the resilience concept.
    Language: English
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  • 67
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-04-20
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo
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  • 68
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    Publication Date: 2022-04-26
    Description: 1. Wochenbericht FS Alkor Reise 571, Fahrtabschnitt 21.- 25.04.2022
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  • 69
    Publication Date: 2022-04-25
    Description: Wildfires are natural or anthropogenic phenomena increasing at alarming rates globally due to land-use alterations, droughts, climatic warming, hunting and biological invasions. Whereas wildfire effects on terrestrial ecosystems are marked and relatively well-studied, ash depositions into aquatic ecosystems have often remained overlooked but have the potential to significantly impact bottom-up processes. This study assessed ash-water-phytoplankton biomass dynamics using six plant species [i.e., three natives (apple leaf Philenoptera violacea, Transvaal milk plum Englerophytum magalismontanum, quinine tree Rauvolfia caffra) and three aliens (lantana Lantana camara, gum Eucalyptus camaldulensis, guava Psidium guajava)] based on a six-week mesocosm experiment with different ash concentrations (1 and 2 g L-1). We assessed concentrations of chemical elements, i.e., N, P, K, Ca, Mg, Na, Mn, Fe, Cu, Zn and B from ash collected, and we have observed significant differences among the species. High concentrations of P, K, Mn, Fe, Cu, Zn and B were recorded from Transvaal milk plum ash and low concentrations of P, K, Ca, Mg, Cu and Zn were recorded from apple leaf. An increase in phytoplankton biomass (using chlorophyll-a concentration as a proxy) for all treatments i.e., 1 and 2 g L-1 for all plant species ash was observed a week after, followed by decreases in the following weeks, with the exception of 2 g L-1 for lantana, gum and control. Silicate concentrations (i.e., used as a proxy for diatom abundance) showed increasing patterns among all ash treatments, with exception of controls. However, no clear patterns were observed between native and alien plant ash on both chl-a and silicate concentrations. We found that ash has notable effects on water chemistry, particularly nitrate, which increased throughout the weeks, whereas, pH and conductivity were high at low ash concentrations. The impacts of ash on water chemistry, chl-a and silicate concentrations vary with individual species and the amount of ash deposited into the system.
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  • 70
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-04-25
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo 2. Wochenbericht (18. - 24.04.2022)
    Type: Report , NonPeerReviewed
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  • 71
    Publication Date: 2022-04-29
    Description: Every year, vast quantities of plastic debris arrive at the ocean surface. Nevertheless, our understanding of plastic movements is largely incomplete and many of the processes involved with the horizontal and vertical displacement of plastics in the ocean are still basically unknown. In this chapter we review the dynamics associated with the transport of plastics and other pollutants at oceanic fronts. Fronts had been historically defined as simple barriers to exchange, but here we show that the role of these structures in influencing the transport of plastics is more complex. The tools used to investigate the occurrence of frontal structures at various spatial scales are reviewed in detail, with a particular focus on their potential applications to the study of plastic pollution. Three selected case studies are presented to better describe the role of fronts in favoring or preventing plastic exchanges: the large-scale Antarctic Circumpolar Current, a Mediterranean mesoscale front, and the submesoscale fronts in the Gulf of Mexico. Lastly, some aspects related to the vertical subduction of plastic particles at oceanic fronts are discussed as one of the most promising frontiers for future research. The accumulation of floating debris at the sea surface is mainly affected by the horizontal components of frontal dynamics. At the same time, vertical components can be relevant for the export of neutrally buoyant particles from the surface into the deep sea. Based on these evidences, we propose that submesoscale processes can provide a fast and efficient route of plastic transport within the mixed layer, while mesoscale instabilities and associated vertical velocities might be the dominant mechanism to penetrate the deeper ocean on slower but broader scales. We conclude that given the ubiquitous presence of fronts in the world’s ocean, their contribution to the global plastic cycle is probably not negligible and the role of these processes in vertically displacing neutrally buoyant microplastics should be investigated in more detail.
    Type: Book chapter , NonPeerReviewed
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  • 72
    Publication Date: 2022-04-29
    Description: Understanding the influence of climate change and population pressure on human conflict remains a critically important topic in the social sciences. Long-term records that evaluate these dynamics across multiple centuries and outside the range of modern climatic variation are especially capable of elucidating the relative effect of—and the interaction between—climate and demography. This is crucial given that climate change may structure population growth and carrying capacity, while both climate and population influence per capita resource availability. This study couples paleoclimatic and demographic data with osteological evaluations of lethal trauma from 149 directly accelerator mass spectrometry 14C-dated individuals from the Nasca highland region of Peru. Multiple local and supraregional precipitation proxies are combined with a summed probability distribution of 149 14C dates to estimate population dynamics during a 700-y study window. Counter to previous findings, our analysis reveals a precipitous increase in violent deaths associated with a period of productive and stable climate, but volatile population dynamics. We conclude that favorable local climate conditions fostered population growth that put pressure on the marginal and highly circumscribed resource base, resulting in violent resource competition that manifested in over 450 y of internecine warfare. These findings help support a general theory of intergroup violence, indicating that relative resource scarcity—whether driven by reduced resource abundance or increased competition—can lead to violence in subsistence societies when the outcome is lower per capita resource availability.
    Language: English
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  • 73
    Publication Date: 2022-04-29
    Description: Notoriety of the Marine Isotope Stage (MIS) 11c interglacial arises from its long duration, extending over two precessional cycles, high sea level, and persistence of high atmospheric CO2 concentrations. The strong climatic response is often considered paradoxical because it was attained under weak boreal summer insolation forcing, a function of an extended eccentricity minimum and of precession and obliquity being almost opposite in phase. Here, we trace the characteristics of MIS 11c and explore their most likely causes. MIS 11c was preceded by the largest Quaternary ice volume expansion of MIS 12, which ended with a long period of ice rafting and interhemispheric heat transfer. We suggest that the duration of MIS 12 and the size of ice sheets exceeded a critical threshold that triggered a deglaciation despite the weak insolation forcing. The weak forcing led to a slow but steady loss of ice volume, that was sufficient to allow ocean outgassing of CO2, but insufficient to raise sea level within a single precessional cycle. This gave rise to a prolonged interval with large residual ice sheets and high CO2 concentrations that is unique in the last 800,000 years. The obliquity-precession antiphasing produced a weak boreal summer insolation minimum, skipping a glacial inception and leading to continued sea-level rise and high CO2 concentrations, sustained by carbonate compensation. Full interglacial conditions were ach- ieved in the second precessional cycle, and the combined strength and length of the interglacial probably led to loss of some Greenland and Antarctic ice compared to other interglacials. While MIS 11c is highly unusual in many respects, these appear to be linked to each other through the very weak insolation forcing, which led to its extended duration, slow sea-level rise and stable CO2 concentrations through a cocktail of counteracting carbon cycle processes. Although some of these features are also encountered in other interglacials, their combination with strong interglacial intensity is unique to MIS 11c and this appears to be a function of the large MIS 12 ice sheets and the high CO2 concentrations from the beginning of the interglacial.
    Language: English
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  • 74
    Publication Date: 2022-04-29
    Description: We provide a quantitative assessment of policy options to inform the 2021 review of the EU Emissions Trading System (ETS) and raise climate ambition. We use a permit trading model in which firms utilize rolling finite planning horizons, which replicates historical price and banking developments well compared to an infinite horizon. When firms have bounded foresight, indirectly raising ambition through the Market Stability Reserve (MSR) is not equivalent to directly raising ambition through the emissions cap trajectory. Leveraging the MSR turns out to be efficiency improving as it compensates for firms’ bounded foresight by frontloading abatement efforts. We analyze the MSR interaction with the cap trajectory to exploit synergies and minimize the cost of raising ambition. We also provide a comparative assessment of a complete suite of changes in the MSR parameters. Whatever its parameters, MSR-induced resilience to demand shocks remains limited by design: the MSR acts more as an unconditional price support provider than as a responsive price stabilizer.
    Language: English
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  • 75
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-05-03
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo 3. Wochenbericht (25.04. - 01.05.2022)
    Type: Report , NonPeerReviewed
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  • 76
    Publication Date: 2022-05-04
    Description: Deep learning-based methods have achieved remarkable performance in 3-D sensing since they perceive environments in a biologically inspired manner. Nevertheless, the existing approaches trained by monocular sequences are still prone to fail in dynamic environments. In this work, we mitigate the negative influence of dynamic environments on the joint estimation of depth and visual odometry (VO) through hybrid masks. Since both the VO estimation and view reconstruction process in the joint estimation framework is vulnerable to dynamic environments, we propose the cover mask and the filter mask to alleviate the adverse effects, respectively. As the depth and VO estimation are tightly coupled during training, the improved VO estimation promotes depth estimation as well. Besides, a depth-pose consistency loss is proposed to overcome the scale inconsistency between different training samples of monocular sequences. Experimental results show that both our depth prediction and globally consistent VO estimation are state of the art when evaluated on the KITTI benchmark. We evaluate our depth prediction model on the Make3D dataset to prove the transferability of our method as well.
    Language: English
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  • 77
    Publication Date: 2022-05-04
    Description: Capturing the complex spatiotemporal flame dynamics inside a rocket combustor is essential to validate high-fidelity simulations for developing high-performance rocket engines. Utilizing tools from a complex network theory, we construct positively and negatively correlated weighted networks from methylidyne (CH*) chemiluminescence intensity oscillations for different dynamical states observed during the transition to thermoacoustic instability (TAI) in a subscale multi-element rocket combustor. We find that the distribution of network measures quantitatively captures the extent of coherence in the flame dynamics. We discover that regions with highly correlated flame intensity oscillations tend to connect with other regions exhibiting highly correlated flame intensity oscillations. This phenomenon, known as assortative mixing, leads to a core group (a cluster) in the flow-field that acts as a “reservoir” for coherent flame intensity oscillations. Spatiotemporal features described in this study can be used to understand the self-excited flame response during the transition to TAI and validate high-fidelity simulations essential for developing high-performance rocket engines.
    Language: English
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  • 78
    Publication Date: 2022-05-04
    Description: The relative role of external forcing and of intrinsic variability is a key question of climate variability in general and of our planet's paleoclimatic past in particular. Over the last 100 years since Milankovic's contributions, the importance of orbital forcing has been established for the period covering the last 2.6 Myr and the Quaternary glaciation cycles that took place during that time. A convincing case has also been made for the role of several internal mechanisms that are active on timescales both shorter and longer than the orbital ones. Such mechanisms clearly have a causal role in Dansgaard–Oeschger and Heinrich events, as well as in the mid-Pleistocene transition. We introduce herein a unified framework for the understanding of the orbital forcing's effects on the climate system's internal variability on timescales from thousands to millions of years. This framework relies on the fairly recent theory of non-autonomous and random dynamical systems, and it has so far been successfully applied in the climate sciences for problems like the El Niño–Southern Oscillation, the oceans' wind-driven circulation, and other problems on interannual to interdecadal timescales. Finally, we provide further examples of climate applications and present preliminary results of interest for the Quaternary glaciation cycles in general and the mid-Pleistocene transition in particular.
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  • 79
    Publication Date: 2022-05-09
    Description: Hotspot tracks (quasilinear chains of seamounts, ridges, and other volcanic structures) provide important records of plate motions, as well as mantle geodynamics, magma flux, and mantle source compositions. The Tristan-Gough-Walvis Ridge (TGW) hotspot track, extending from the active volcanic islands of Tristan da Cunha and Gough through a province of guyots and then along Walvis Ridge to the Etendeka flood basalt province, forms one of the most prominent and complex global hotspot tracks. The TGW hotspot track displays a tight linear age progression in which ages increase from the islands to the flood basalts (covering ~135 My). Unlike Pacific tracks, which are simple chains of seamounts that are often compared to chains of pearls, the TGW track is alternately a steep-sided narrow ridge, an oceanic plateau, subparallel linear ridges and chains of seamounts, and areas of what appear to be randomly dispersed seamounts. The track displays isotopic zonation over the last ~70 My. The zonation appears near the middle of the track just before it splits into two to three chains of ridge- and guyot-type seamounts. The older ridge is also overprinted with age-progressive late-stage volcanism, which was emplaced ~30–40 My after the initial eruptions and has a distinct isotopic composition. The plan for Expedition 391 was to drill at six sites, three along Walvis Ridge and three in the seamount (guyot) province, to gather igneous rocks to better understand the formation of track edifices, the temporal and geochemical evolution of the hotspot, and the variation in paleolatitudes at which the volcanic edifices formed. After a delay of 18 days to address a shipboard outbreak of the coronavirus disease 2019 (COVID-19) virus, Expedition 391 proceeded to drill at four of the proposed sites: three sites on the eastern Walvis Ridge around Valdivia Bank, an ocean plateau within the ridge, and one site on the lower flank of a guyot in the Center track, a ridge located between the Tristan subtrack (which extends from the end of Walvis Ridge to the island of Tristan da Cunha) and the Gough subtrack (which extends from Walvis Ridge to the island of Gough). One hole was drilled at Site U1575, located on a low portion of the northeastern Walvis Ridge north of Valdivia Bank. At this location, 209.9 m of sediments and 122.4 m of igneous basement were cored. The latter comprised 10 submarine lava units consisting of pillow, lobate, sheet, and massive lava flows, the thickest of which was ~21 m. Most lavas are tholeiitic, but some alkalic basalts were recovered. A portion of the igneous succession consists of low-Ti basalts, which are unusual because they appear in the Etendeka flood basalts but have not been previously found on Walvis Ridge. Two holes were drilled at Site U1576 on the west flank of Valdivia Bank. The first hole was terminated because a bit jammed shortly after penetrating igneous basement. Hole U1576A recovered a remarkable ~380 m thick sedimentary section consisting mostly of chalk covering a nearly complete sequence from Paleocene to Late Cretaceous (Campanian). These sediments display short and long cyclic color changes that imply astronomically forced and longer term paleoenvironmental changes. The igneous basement yielded 11 submarine lava units ranging from pillows to massive flows, which have compositions varying from tholeiitic basalt to basaltic andesite, the first occurrence of this composition recovered from the TGW track. These units are separated by seven sedimentary chalk units that range in thickness from 0.1 to 11.6 m, implying a long-term interplay of sedimentation and lava eruptions. Coring at Site U1577, on the extreme eastern flank of Valdivia Bank, penetrated a 154 m thick sedimentary section, the bottom ~108 m of which is Maastrichtian–Campanian (possibly Santonian) chalk with vitric tephra layers. Igneous basement coring progressed only 39.1 m below the sediment-basalt contact, recovering three massive submarine tholeiite basalt lava flows that are 4.1, 15.5, and 〉19.1 m thick, respectively. Paleomagnetic data from Sites U1577 and U1576 indicate that their volcanic basements formed just before the end of the Cretaceous Normal Superchron and during Chron 33r, shortly afterward, respectively. Biostratigraphic and paleomagnetic data suggest an east–west age progression across Valdivia Bank, becoming younger westward. Site U1578, located on a Center track guyot, provided a long and varied igneous section. After coring through 184.3 m of pelagic carbonate sediments mainly consisting of Eocene and Paleocene chalk, Hole U1578A cored 302.1 m of igneous basement. Basement lavas are largely pillows but are interspersed with sheet and massive flows. Lava compositions are mostly alkalic basalts with some hawaiite. Several intervals contain abundant olivine, and some of the pillow stacks consist of basalt with remarkably high Ti content. The igneous sequence is interrupted by 10 sedimentary interbeds consisting of chalk and volcaniclastics and ranging in thickness from 0.46 to 10.19 m. Paleomagnetic data display a change in basement magnetic polarity ~100 m above the base of the hole. Combining magnetic stratigraphy with biostratigraphic data, the igneous section is inferred to span 〉1 My. Abundant glass from pillow lava margins was recovered at Sites U1575, U1576, and U1578. Although the igneous penetration was only two-thirds of the planned amount, drilling during Expedition 391 obtained samples that clearly will lead to a deeper understanding of the evolution of the Tristan-Gough hotspot and its track. Relatively fresh basalts with good recovery will provide ample samples for geochemical, geochronologic, and paleomagnetic studies. Good recovery of Late Cretaceous and early Cenozoic chalk successions provides samples for paleoenvironmental study.
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  • 80
    Publication Date: 2022-05-05
    Description: The classic partitioning between slow-moving, low-wavenumber planetary waves and fast-moving, high-wavenumber synoptic waves is systematically extended by means of a wavenumber/phase speed spectral decomposition to characterize the day-to-day evolution of Rossby wave activity in the upper troposphere. This technique is employed to study the origin and the propagation of circumglobal Rossby wave patterns (CRWPs), amplified Rossby waves stretching across the Northern Hemisphere in the zonal direction and characterized by few, dominant wavenumbers. Principal component analysis of daily anomalies in spectral power allows for two CRWPs to emerge as dominant variability modes in the spectral domain during boreal winter. These modes correspond to the baroclinic propagation of amplified Rossby waves from the Pacific to the Atlantic storm track in a hemispheric flow configuration displaying enhanced meridional gradients of geopotential height over midlatitudes. The first CRWP is forced by tropical convection anomalies over the Indian Ocean and features the propagation of amplified Rossby wave packets over northern midlatitudes, while the second one propagates rapidly over latitudes between 35° N and 55° N and appears to have extratropical origin. Propagation of Rossby waves from the Atlantic eddy-driven jet to the African subtropical jet occurs for both CRWPs following anticyclonic wave breaking.
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  • 81
    Publication Date: 2022-05-05
    Description: We study the collective dynamics in a population of excitable units (neurons) adaptively interacting with a pool of resources. The resource pool is influenced by the average activity of the population, whereas the feedback from the resources to the population is comprised of components acting homogeneously or inhomogeneously on individual units of the population. Moreover, the resource pool dynamics is assumed to be slow and has an oscillatory degree of freedom. We show that the feedback loop between the population and the resources can give rise to collective activity bursting in the population. To explain the mechanisms behind this emergent phenomenon, we combine the Ott-Antonsen reduction for the collective dynamics of the population and singular perturbation theory to obtain a reduced system describing the interaction between the population mean field and the resources.
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  • 82
    Publication Date: 2022-05-11
    Description: In the present paper, we investigate both the finite-time and fixed-time synchronization of retarded shunting inhibitory cellular neural networks. By constructing suitable Lyapunov functions and feedback control schemes we derive several sufficient conditions to guarantee finite-time and fixed-time synchronization of such networks. Finally, to illustrate the effectiveness of our theoretical results we consider examples with numerical simulations.
    Language: English
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  • 83
    Publication Date: 2022-05-11
    Description: Noise-induced tipping from a low-amplitude oscillation state to a high-amplitude one is widespread in airfoil systems. Its occurrence may cause fatigue damage to the wing structure of an aircraft, which directly threatens its flight safety. Therefore, it is of utmost importance to predict the occurrence of noise-induced high-amplitude oscillations as the system parameters vary in airfoil systems. Taking a two-degrees-of-freedom airfoil model with random loadings as a prototype class of real systems, the prediction of noise-induced tipping from low-amplitude to high-amplitude oscillations is carried out in the present study. First, we analyze the effects of random fluctuations on the system response. The results show that noise-induced catastrophic high-amplitude oscillations take place before the bifurcation point of the corresponding deterministic airfoil model. Subsequently, the possibility that the low-amplitude oscillation state of the given noisy model jumps to the high-amplitude one is analyzed based on the escape probability. Then, the new concept of the high-risk region is defined. This is an efficient early warning indicator to approximately quantify the ranges of the system parameters where noise-induced high-amplitude oscillations may occur. Compared with the existing early warning indicators, this method is a non-local universal concept of stability. More importantly, it may provide theoretical guidance for aircraft designers to take some measures to avoid such catastrophic critical jump phenomena in practical engineering applications. Random fluctuations in a flight environment can induce tipping from a low-amplitude oscillation state to a high-amplitude one of an airfoil system. These typically undesirable high-amplitude oscillations often lead to airfoil structural damage, thereby increasing the risk of flight safety issues such as the aircraft breaking up in mid-air. Therefore, early warning of high-amplitude oscillations under random fluctuations has been a major problem faced during the safe flight of the aircraft. Many studies, in recent years, have been devoted to exploring early warning indicators to predict and characterize the onset of high-amplitude oscillations. However, these existing indicators can only warn of high-amplitude oscillations that are impending, which leaves operators not having enough time to avoid the occurrence of these catastrophic events. To overcome these problems, in this paper, we introduce a new and non-local concept: the high-risk region. It can provide early warning signals for the airfoil structure by quantifying the ranges of the system parameters where noise-induced high-amplitude oscillations may occur in advance.
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  • 84
    Publication Date: 2022-05-11
    Description: Multifractal detrended fluctuation analysis (MFDFA) has become a central method to characterise the variability and uncertainty in empiric time series. Extracting the fluctuations on different temporal scales allows quantifying the strength and correlations in the underlying stochastic properties, their scaling behaviour, as well as the level of fractality. Several extensions to the fundamental method have been developed over the years, vastly enhancing the applicability of MFDFA, e.g. empirical mode decomposition for the study of long-range correlations and persistence. In this article we introduce an efficient, easy-to-use python library for MFDFA, incorporating the most common extensions and harnessing the most of multi-threaded processing for very fast calculations.
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  • 85
    Publication Date: 2022-05-11
    Description: Numerous social problems can be directly related to poverty, and its elimination is thus often declared a grand challenge in modern human societies. Nevertheless, it is difficult to shake the belief that certain fractions of the population would like to see it maintained to ensure the availability of cheap workforce and its readiness to do the hardest jobs, as well as to keep the prices of natural resources in the afflicted countries as low as possible. Here we show, however, that by allowing low-income individuals to escape poverty, either by means of mobility to pursue potential opportunities in remote areas or by ending dilemmas through social learning in local areas, greatly increases cooperation and thus has the potential to raise the social capital. In particular, we find that mobility of low-income individuals can promote cooperation when the per capita mobility rate is as low as in the order of magnitude as long as network reciprocity is still active. This synergy between network reciprocity and mobility is due to the emergence of large cooperative clusters that are in this size impossible without mobility. Moreover, we find that the mobility of defectors undermines cooperation, but only a few defectors actually move as they are typically well off when surrounded by cooperators. On the contrary, the higher the cooperation level, the greater the proportion of low-income cooperator that move. Our research thus shows that by providing ways out of poverty for individuals can raise whole societies out of economic gridlocks by elevating cooperation levels.
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  • 86
    Publication Date: 2022-05-11
    Description: Background: The development of new methods of drug brain delivery is a crucial step for the effective therapy of the brain diseases. Pharma- and acupuncture are the forms of alternative therapy of the brain pathology, including an increase in the permeability of blood-brain barrier. However, the mechanisms of pharma- and acupuncture-mediated effects on the brain physiology remain not fully understood. Results: This pilot study on healthy mice clearly demonstrates the Evans Blue spreading in the mouse head and in the brain via the perivascular spaces (PVSs) of the trigeminal structure and the cribriform plate after the dye injection into the Feng Chi point (Galbladder 20, GB20). Conclusion: These results suggest that pharmacopuncture at GB20 can be a perspective method for brain drug delivery via PVSs.
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  • 87
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    In:  Proceedings of the National Academy of Sciences of the United States of America (PNAS)
    Publication Date: 2022-05-11
    Description: In recent years, the Indian Ocean Dipole (IOD) has received much attention in light of its substantial impacts on both the climate system and humanity. Due to its complexity, however, a reliable prediction of the IOD is still a great challenge. In this study, climate network analysis was employed to investigate whether there are early warning signals prior to the start of IOD events. An enhanced seesaw tendency in sea surface temperature (SST) among a large number of grid points between the dipole regions in the tropical Indian Ocean was revealed in boreal winter, which can be used to forewarn the potential occurrence of the IOD in the coming year. We combined this insight with the indicator of the December equatorial zonal wind in the tropical Indian Ocean to propose a network-based predictor that clearly outperforms the current dynamic models. Of the 15 IOD events over the past 37 y (1984 to 2020), 11 events were correctly predicted from December of the previous year, i.e., a hit rate of higher than 70%, and the false alarm rate was around 35%. This network-based approach suggests a perspective for better understanding and predicting the IOD.
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  • 88
    Publication Date: 2022-05-13
    Description: Evolutionary game on complex networks provides a new research framework for analyzing and predicting group decision-making behavior in an interactive environment, in which most researchers assumed players as profiteers. However, current studies have shown that players are sometimes conformists rather than profit-seeking in society, but most research has been discussed on a simple game without considering the impact of multiple games. In this paper, we study the influence of conformists and profiteers on the evolution of cooperation in multiple games and illustrate two different strategy-updating rules based on these conformists and profiteers. Different from previous studies, we introduce a similarity between players into strategy-updating rules and explore the evolutionary game process, including the strategy updating, the transformation of players’ type, and the dynamic evolution of the network structure. In the simulation, we implement our model on scale-free and regular networks and provide some explanations from the perspective of strategy transition, type transition, and network topology properties to prove the validity of our model. The study of network evolutionary games can provide a new perspective for explaining cooperation in society. Our task is to incorporate conformists and multigames into the traditional evolutionary game, which are more consistent with reality. Based on this model, this paper proposes two different strategy-updating rules and investigates their impact on the evolution of cooperation in the network. In addition, we make an interpretation of the simulation results in terms of strategy transition, type transition, and network topology properties. Our work may shed some new light on the study of network evolutionary games with conformists and multigames.
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  • 89
    Publication Date: 2022-05-13
    Description: In this paper, we propose and analyse a compartmental model of COVID-19 to predict and control the outbreak. We first formulate a comprehensive mathematical model for the dynamical transmission of COVID-19 in the context of sub-Saharan Africa. We provide the basic properties of the model and compute the basic reproduction number R0 when the parameter values are constant. After, assuming continuous measurement of the weekly number of newly COVID-19 detected cases, newly deceased individuals and newly recovered individuals, the Ensemble of Kalman filter (EnKf) approach is used to estimate the unmeasured variables and unknown parameters, which are assumed to be time-dependent using real data of COVID-19. We calibrated the proposed model to fit the weekly data in Cameroon and Gabon before, during and after the lockdown. We present the forecasts of the current pandemic in these countries using the estimated parameter values and the estimated variables as initial conditions. During the estimation period, our findings suggest that R0≈1.8377 in Cameroon, while R0≈1.0379 in Gabon meaning that the disease will not die out without any control measures in theses countries. Also, the number of undetected cases remains high in both countries, which could be the source of the new wave of COVID-19 pandemic. Short-term predictions firstly show that one can use the EnKf to predict the COVID-19 in Sub-Saharan Africa and that the second vague of the COVID-19 pandemic will still increase in the future in Gabon and in Cameroon. A comparison between the basic reproduction number from human individuals R0h and from the SARS-CoV-2 in the environment R0v has been done in Cameroon and Gabon. A comparative study during the estimation period shows that the transmissions from the free SARS-CoV-2 in the environment is greater than that from the infected individuals in Cameroon with R0h = 0.05721 and R0v = 1.78051. This imply that Cameroonian apply distancing measures between individual more than with the free SARS-CoV-2 in the environment. But, the opposite is observed in Gabon with R0h = 0.63899 and R0v = 0.39894. So, it is important to increase the awareness campaigns to reduce contacts from individual to individual in Gabon. However, long-term predictions reveal that the COVID-19 detected cases will play an important role in the spread of the disease. Further, we found that there is a necessity to increase timely the surveillance by using an awareness program and a detection process, and the eradication of the pandemic is highly dependent on the control measures taken by each government.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 90
    Publication Date: 2022-05-20
    Description: The Barents Sea, located close to the Arctic Ocean, is a petroleum province featuring an extensive occurrence of gas hydrates and shallow gas in compacted sediments. Glacial erosion and uplift have contributed to the migration of gas originating from deeper rocks to the shallow sediments of this region, resulting in hydrates with higher-order hydrocarbons in addition to methane. This article documents reported gas hydrate indications and major controls on hydrate stability in the Barents Sea.
    Type: Book chapter , PeerReviewed
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  • 91
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-05-16
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo 4. Wochenbericht (02. - 08.05.2022)
    Type: Report , NonPeerReviewed
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  • 92
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-05-16
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo 5. Wochenbericht (09. - 15.05.2022)
    Type: Report , NonPeerReviewed
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  • 93
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Publication Date: 2022-05-23
    Description: METEOR-Reise M181 FS METEOR - M181 - "TRATLEQ2", 17.04. - 28.05.2022, Kapstadt - Mindelo 6. Wochenbericht (16. - 22.05.2022)
    Type: Report , NonPeerReviewed
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  • 94
    Publication Date: 2022-05-25
    Description: Since global navigation satellite systems (GNSS) for determining the absolute geolocation do not reach into the ocean, underwater robots typically obtain a GNSS position at the water surface and then use a combination of different sensors for estimating their pose while diving, including inertial navigation, acoustic doppler velocity logs, ultra short baseline localization systems and pressure sensors. When re-navigating to the same seafloor location after several days, months or years, e.g. for coastal monitoring, the absolute uncertainty of such systems can be in the range of meters for shallow water, and tens of meters for deeper waters in practice. To enable absolute relocalization in marine data science applications that require absolute seafloor positions in the range of centimeter precision, in this contribution we suggest to equip the monitoring area with visual markers that can be detected reliably even in case they are partially overgrown or partially buried by sediment, which can happen quickly in coastal waters. Inspired by patterns successful in camera calibration, we create robust markers that exhibit features at different scales, in order to allow detection, identification and pose estimation from different cameras and various altitudes as visibility (and therefore the maximum possible survey altitude) in coastal waters can vary significantly across seasons, tides and weather. The low frequency content of the marker resembles a human-readable digit, in order to allow easy identification by scientists. We present early results including promising initial tests in coastal waters.
    Type: Book chapter , NonPeerReviewed
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  • 95
  • 96
    Publication Date: 2022-05-30
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 97
    Publication Date: 2022-06-01
    Description: Oceanic transform faults are among the most prominent morphologic features in ocean basins, offsetting mid-ocean ridges by tens to hundreds of kilometers. Since the inception of plate tectonics, transform faults have been assumed to be simple, two-dimensional strike-slip, conservative plate boundaries, where lithosphere is neither created nor destroyed. This concept nurtured an over-simplified understanding of oceanic transform faults for many decades. New advances in seafloor mapping revealed that the morphology of oceanic transform faults is difficult to explain exclusively by strike-slip faulting and differential thermal subsidence. We compiled ship-based bathymetric data of 94 oceanic transform faults, and parameterized their morphological characteristics (e.g., length, width, depth, etc.) using quantitative geomorphologic methods. A prominent feature of most oceanic transform plate boundaries is a deep valley extending along the active transform fault. Our statistical analysis indicates that these valleys are generally deeper and wider at slow- and ultraslow-slipping rates than at faster slipping rates. However, the key feature that governs structural variability, seems to be age-offset across a transform fault rather than spreading rate. While the correlation between transform morphology and spreading rate turns out to be rather weak, our statistical results consistently show that transform valleys get deeper and wider with increasing age-offset. The surface deformation pattern observed therefore supports the tectonic extension scaling with age-offset predicted by recent geodynamic simulations (Grevemeyer et al., 2021). Furthermore, at small age-offsets (〈 5 Myr), scatters especially in the depth of transform valley increase, indicating that small-age-offset transforms corresponding to weak lithospheric strength are easily affected by secondary tectonic processes, such as nearby hotspots and changes in plate motion. Now, five decades after Wilson (1965) published his seminal paper on transform faults, our quantitative submarine geomorphologic study emphasizes that oceanic transform faults are not simple conservative strike-slip plate boundaries, but that tectonic extension is an integral process affecting their morphology. The larger age-offset causes greater extension at OTFs and hence wider and deeper valleys as evidenced by our statistics on transform morphology.
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 98
    Publication Date: 2022-06-01
    Description: Non-continuous flooding is an effective practice for reducing greenhouse gas (GHG) emissions and irrigation water use (IRR) in rice fields. However, advancing global implementation is hampered by the lack of comprehensive understanding of GHGs and IRR reduction benefits without compromising rice yield. Here, we present the largest observational data set for such effects as of yet. By using Random Forest regression models based on 636 field trials at 105 globally georeferenced sites, we identified the key drivers of effects of non-continuous flooding practices and mapped maximum GHGs or IRR reduction benefits under optimal non-continuous flooding strategies. The results show that variation in effects of non-continuous flooding practices are primarily explained by the UnFlooded days Ratio (UFR, that is the ratio of the number of days without standing water in the field to total days of the growing period). Non-continuous flooding practices could be feasible to be adopted in 76% of global rice harvested areas. This would reduce the global warming potential (GWP) of CH4 and N2O combined from rice production by 47% or the total GWP by 7% and alleviate IRR by 25%, while maintaining yield levels. The identified UFR targets far exceed currently observed levels particularly in South and Southeast Asia, suggesting large opportunities for climate mitigation and water use conservation, associated with the rigorous implementation of non-continuous flooding practices in global rice cultivation.
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  • 99
    Publication Date: 2022-06-01
    Description: The scientific evidence assembled in this Focus Collection on 'Reactive nitrogen and the UN sustainable development goals' emphasizes the relevance of agriculture as a key sector for nitrogen application as well as its release to the environment and the observed impacts. Published work proves the multiple connections and their causality, and presents pathways to mitigate negative effects while maintaining the benefits, foremost the production of food to sustain humanity. Providing intersections from field to laboratory studies and to modelling approaches, across multiple scales and for all continents, the Collection displays an overview of the state of nitrogen science in the early 21st century. Extending science to allow for policy-relevant messages renders the evidence provided a valuable basis for a global assessment of reactive nitrogen.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 100
    Publication Date: 2022-06-01
    Description: Prospective Life Cycle Assessment (pLCA) is useful to evaluate the environmental performance of current and emerging technologies in the future. Yet, as energy systems and industries are rapidly shifting towards cleaner means of production, pLCA requires an inventory database that encapsulates the expected changes in technologies and the environment at a given point in time, following specific socio-techno-economic pathways. To this end, this study introduces premise, a tool to streamline the generation of prospective inventory databases for pLCA by integrating scenarios generated by Integrated Assessment Models (IAM). More precisely, premise applies a number of transformations on energy-intensive activities found in the inventory database ecoinvent according to projections provided by the IAM. Unsurprisingly, the study shows that, within a given socio-economic narrative, the climate change mitigation target chosen affects the performance of nearly all activities in the database. This is illustrated by focusing on the effects observed on a few activities, such as systems for direct air capture of CO2, lithium-ion batteries, electricity and clinker production as well as freight transport by road, in relation to the applied sector-based transformation and the chosen climate change mitigation target. This work also discusses the limitations and challenges faced when coupling IAM and LCA databases and what improvements are to be brought in to further facilitate the development of pLCA.
    Language: English
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