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  • 1
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    TERENO Monitoring data from Lake Tiefer See and Lake Czechowskie (2012-2017) (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-02-13
    Description: This dataset resulted from a parallel monitoring at two lakes, Lake Tiefer See (near Klocksin, TSK; 53° 35.5’ N, 12° 31.8’ E; 62 masl; N Germany) and Lake Czechowskie (Jezioro Czechowskie, JC; 53° 52.4’ N, 18° 14.3’ E; 108 masl; N Poland), and includes four different type of data for both locations: (i) sediment cores microfacies data, (ii) sediment fluxes and composition, (iii) selected water column data, and (iv) selected meteorological information obtained on site. This dual lake monitoring set-up was established in 2012 with the aim to investigate seasonal sedimentation and varve forming processes in detail. The datasets are provided in individual *.csv files, per type of data and per lake. The thin section data from surface sediment cores comprises the thicknesses of the most recent calcite varves’ sub-layers: spring diatom sub-layer, summer calcite sub-layer, and autumn/winter re-suspension sub-layer. The sediment flux data was obtained from sediment traps located in different water depths (epi- and hypolimnion), and the sediment composition is given by the fluxes of total organic carbon (TOC), calcium carbonate (as calculated from total inorganic carbon; TIC), and diatoms & inorganic matter. The water column data comprises water temperature from stationary loggers, and dissolved oxygen measured in ~ 1 meter depth-resolution. The meteorological data includes daily averages of air temperature and mean wind-speed, and summed daily rainfall. Further details about the sampling and analytical methods, data acquisition, and processing are given in Roeser et al. (2021; http://doi.org/10.1111/bor.12506).
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 2
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    POET (v0.1): speedup of many-core parallel reactive transport simulations with fast DHT lookups (2021)
    In:  Geoscientific Model Development
    Details
    Publication Date: 2021-12-06
    Description: Coupled reactive transport simulations are extremely demanding in terms of required computational power, which hampers their application and leads to coarsened and oversimplified domains. The chemical sub-process represents the major bottleneck: its acceleration is an urgent challenge which gathers increasing interdisciplinary interest along with pressing requirements for subsurface utilization such as spent nuclear fuel storage, geothermal energy and CO2 storage. In this context we developed POET (POtsdam rEactive Transport), a research parallel reactive transport simulator integrating algorithmic improvements which decisively speed up coupled simulations. In particular, POET is designed with a master/worker architecture, which ensures computational efficiency in both multicore and cluster compute environments. POET does not rely on contiguous grid partitions for the parallelization of chemistry but forms work packages composed of grid cells distant from each other. Such scattering prevents particularly expensive geochemical simulations, usually concentrated in the vicinity of a reactive front, from generating load imbalance between the available CPUs (central processing units), as is often the case with classical partitions. Furthermore, POET leverages an original implementation of the distributed hash table (DHT) mechanism to cache the results of geochemical simulations for further reuse in subsequent time steps during the coupled simulation. The caching is hence particularly advantageous for initially chemically homogeneous simulations and for smooth reaction fronts. We tune the rounding employed in the DHT on a 2D benchmark to validate the caching approach, and we evaluate the performance gain of POET's master/worker architecture and the DHT speedup on a 3D benchmark comprising around 650 000 grid elements. The runtime for 200 coupling iterations, corresponding to 960 simulation days, reduced from about 24 h on 11 workers to 29 min on 719 workers. Activating the DHT reduces the runtime further to 2 h and 8 min respectively. Only with these kinds of reduced hardware requirements and computational costs is it possible to realistically perform the long-term complex reactive transport simulations, as well as perform the uncertainty analyses required by pressing societal challenges connected with subsurface utilization.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 3
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    Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs (2022)
    In:  Frontiers in Marine Science
    Details
    Publication Date: 2022-08-19
    Description: Ecosystem models need to capture biodiversity, because it is a fundamental determinant of food web dynamics and consequently of the cycling of energy and matter in ecosystems. In oceanic food webs, the plankton compartment encompasses by far most of the biomass and diversity. Therefore, capturing plankton diversity is paramount for marine ecosystem modelling. In recent years, many models have been developed, each representing different aspects of plankton diversity, but a systematic comparison remains lacking. Here we present established modelling approaches to study plankton ecology and diversity, discussing the limitations and strengths of each approach. We emphasize their different spatial and temporal resolutions and consider the potential of these approaches as tools to address societal challenges. Finally, we make suggestions as to how better integration of field and experimental data with modelling could advance understanding of both plankton biodiversity specifically and more broadly the response of marine ecosystems to environmental change, including climate change.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 4
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    The Marine Biodiversity Observation Network Plankton Workshops: Plankton Ecosystem Function, Biodiversity, and Forecasting—Research Requirements and Applications (2022)
    In:  Limnology and Oceanography Bulletin
    Details
    Publication Date: 2022-03-17
    Language: English
    Type: info:eu-repo/semantics/article
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  • 5
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    Controls on Ice Cliff Distribution and Characteristics on Debris-Covered Glaciers (2023)
    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Details
    Publication Date: 2023-05-23
    Description: Ice cliffs locally enhance the melt of debris-covered glaciers. These features are widespread across such glaciers and are therefore important contributors to their mass balance. However, little is known about their formation or distribution across glaciers, making it difficult to account for their melt contribution at the glacier to the regional scale. Here, we took advantage of semi-automated mapping approaches to assemble a dataset of 37,537 ice cliffs and determine their characteristics across 86 debris-covered glaciers in High Mountain Asia (HMA). We complemented this dataset with the analysis of 202 cliff formation events from multi-temporal UAV observations for a subset of these glaciers. We find that, for this large population of debris-covered glaciers, 38.9% of the cliffs are stream-influenced, 19.5% pond-influenced and 19.7% are crevasses. Surface velocity stands out as the main predictor of cliff distribution at both local and glacier scale, indicating its dependance on the dynamic state and hence evolution stage of debris-covered glacier tongues. As a result, total cliff density decreases exponentially with debris thickness as soon as debris gets thicker than 10 cm. This effect is somewhat compensated by the influence of supraglacial ponds, that contribute to maintaining cliffs in areas of thicker debris, when water can accumulate at the surface. This leads us to propose a conceptual model which links the distribution and ice cliff type to the glacier evolution stage and its pattern of debris cover in a broad context of glacier slow down and debris thickening.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 6
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    Approaches to the World (2021)
    Nomos Verlagsgesellschaft mbH & Co. KG
    Details
    Publication Date: 2023-12-20
    Description: Responding to the critique of methodological ethnocentrism, Lindemann develops a new general social theory that is also highly sensitive to socio-cultural differences. Drawing on Helmuth Plessner’s theory of excentric positionality, social order is understood as a symbolically and technically mediated spatio-temporal order that is integrated by an order of violence. Lindemann hereby brings together three significant aspects of recent debates: the debates on the necessity of a theoretical turn (such as the linguistic turn, the material turn, the body turn, the pictorial turn and the spatial turn); second, the debates on the actor status of non-humans and the borders of the social world, and third, the discussions about the role of violence in structuring social processes. Als Antwort auf die Kritik des methodologischen Ethnozentrismus entwickelt Lindemann eine neue allgemeinen Sozialtheorie, die sozio-kulturelle Differenzen detailliert zu analysieren vermag. Soziale Ordnung wird dabei als eine symbolisch vermittelte, raum-zeitlich verfasste Ordnung verstanden, die durch eine Ordnung der Gewalt integriert wird. Mit diesem Ansatz verbindet Lindemann drei relevante Diskursstränge der letzten Jahrzehnten: Erstens, die Debatten um die Notwendigkeit theoretischer Neuorientierungen, wie den linguistic turn, den body und spatial turn usw., zweitens, die Debatten um den Status nichtmenschlicher Akteure bzw. um die Grenzen der Sozialwelt sowie drittens, die Debatten um die Bedeutung von Gewalt für soziale Ordnungsbildung.
    Keywords: HM401-1281 ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFP Social interaction
    Language: English
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  • 7
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    Modeling the Plankton - Enhancing the Integration of Biological Knowledge and Mechanistic Understanding (2021)
    Frontiers Media SA
    Details
    Publication Date: 2022-01-31
    Description: In light of climate change and allied changes to marine ecosystems, mathematical models have become an important tool to examine processes and predict phenomena from local through to global scales. In recent years model studies, laboratory experiments and a better ecological understanding of the pelagic ecosystem have enabled advancements on fundamental challenges in oceanography, including marine production, biodiversity and anticipation of future conditions in the ocean. This research topic presents a number of studies that investigate functionally diverse organism in a dynamic ocean through diverse and novel modeling approaches.
    Keywords: GC1-1581 ; Q1-390 ; Climate Change ; ecosystems ; Mixotroph ; food webs ; Phytoplankton ; virus-host ; biogeochemistry ; Zooplankton ; Predictive capability ; Microbial loop
    Language: English
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