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  • 11
    Publication Date: 2016-06-01
    Print ISSN: 0924-7963
    Electronic ISSN: 1879-1573
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geosciences , Physics
    Published by Elsevier
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  • 12
  • 13
    Publication Date: 2022-01-31
    Description: The tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific. The tropical Atlantic also connects the southern and northern branches of the Atlantic meridional overturning circulation and receives freshwater input from some of the world’s largest rivers. To address these diverse, unique, and interconnected research challenges, a rich network of ocean observations has developed, building on the backbone of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). This network has evolved naturally over time and out of necessity in order to address the most important outstanding scientific questions and to improve predictions of tropical Atlantic severe weather and global climate variability and change. The tropical Atlantic observing system is motivated by goals to understand and better predict phenomena such as tropical Atlantic interannual to decadal variability and climate change; multidecadal variability and its links to the meridional overturning circulation; air-sea fluxes of CO2 and their implications for the fate of anthropogenic CO2; the Amazon River plume and its interactions with biogeochemistry, vertical mixing, and hurricanes; the highly productive eastern boundary and equatorial upwelling systems; and oceanic oxygen minimum zones, their impacts on biogeochemical cycles and marine ecosystems, and their feedbacks to climate. Past success of the tropical Atlantic observing system is the result of an international commitment to sustained observations and scientific cooperation, a willingness to evolve with changing research and monitoring needs, and a desire to share data openly with the scientific community and operational centers. The observing system must continue to evolve in order to meet an expanding set of research priorities and operational challenges. This paper discusses the tropical Atlantic observing system, including emerging scientific questions that demand sustained ocean observations, the potential for further integration of the observing system, and the requirements for sustaining and enhancing the tropical Atlantic observing system.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 14
    Publication Date: 2017-04-04
    Description: Global ocean modelling activities at Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) include the development and implementation of data assimilation techniques applied to a global ocean general circulation model to investigate the role of the ocean on climate variability and predictability. The main objective is the production of global ocean re-analyses over multidecadal periods to reconstruct the state of the ocean and the large scale circulation over the recent past for climate applications and for the assessment of the benefits of assimilating ocean observations on seasonal and longer climate predictability. Here we present the main characteristics of the assimilation system and a set of global ocean re-analyses produced with this system. Applications of these data assimilation products to the study of climate variability and to the assessment of subsurface ocean initialization contribution to seasonal climate predictability will also be reported.
    Description: The authors wish to thank the Centro Euro-Mediterraneo per i Cambiamenti Climatici for its financial and scientific support of some of the activities presented in this work. The implementation and the following improvements of the global ocean assimilation system were carried out in the framework of the ENACT (EVK2-CT2001-00117) and ENSEMBLES (GOCE-CT-2003-505539) projects. The MyOcean (FP7-SPACE-2007-1) project is feeding some of the most recent developments.
    Description: In press
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: N/A or not JCR
    Description: open
    Keywords: ocean modelling ; data assimilation ; reanalysis ; upper ocean variability ; sea level height ; temperature ; salinity ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 15
    Publication Date: 2017-04-04
    Description: One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) is the production of global ocean re-analyses over multidecadal periods to reconstruct the state of the ocean and the large scale cir- culation over the recent past. The re-analyses are used for climate applications and for the assessment of the benefits of assimilating ocean observations on seasonal and longer predictions. Here we present the main characteristics of an optimal interpola- tion based assimilation system used to produce a set of global ocean re-analyses validated against a set of high quality in situ observa- tions and independent data. Differences among the experiments of the set are analyzed in terms of improvements in the method used to assimilate the data and the quality of observations them- selves. For example, the integrated ocean heat content, which can be taken as an indicator of climate changes, is examined to detect possible sources of uncertainty of its long-term changes. Global and basin scale upper ocean heat content exhibits warming trends over the last few decades that still depend in a significant way on the assimilated observations and the formulation of the background covariances. However, all the re-analyses show a global warming trend of the oceanic uppermost 700 m over the last five decades that falls within the range of the most recent observation-based estimates. The largest discrepancies between our estimates and observational based ones are confined in the upwelling regions of the PacificandAtlanticOceans.Finally,theresultsshow that the climatological heat and salt transports as a function of latitude also fall within the range of the estimates based on observations and atmospheric re-analyses.
    Description: The authors wish to thank the Centro Euro-Mediterraneo per i Cambiamenti Climatici for its financial and scientific support of some of the activities presented in this work. The implementation and the following improvements of the global ocean assimilation system were carried out in the framework of the ENACT(EVK2-CT2001-00117)and ENSEMBLES(GOCE-CT-2003-505539)projects.
    Description: Published
    Description: 341– 366
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: JCR Journal
    Description: partially_open
    Keywords: Data assimilation ; Global ocean ; Numerical models ; Climate ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling ; 03. Hydrosphere::03.01. General::03.01.03. Global climate models ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 16
    Publication Date: 2017-04-03
    Description: A global ocean three-dimensional variational data assimilation system was developed with the aim of assimilating along-track sea level anomaly observations, along with in situ observations from bathythermographs and conventional sea stations. All the available altimetric data within the period October 1992–January 2006 were used in this study. The sea level corrections were covariated with vertical profiles of temperature and salinity according to the bivariate definition of the background-error vertical covariances. Sea level anomaly observational error variance was carefully defined as a sum of instrumental, representativeness, observation operator, and mean dynamic topography error variances. The mean dynamic topography was computed from the model long-term mean sea surface height and adjusted through an optimal interpolation scheme to account for observation minus first-guess biases. Results show that the assimilation of sea level anomaly observations improves the model sea surface height skill scores as well as the subsurface temperature and salinity fields. Furthermore, the estimate of the tropical and subtropical surface circulation is clearly improved after assimilating altimetric data. Nonnegligible impacts of the mean dynamic topography used have also been found: compared to a gravimeter-based mean dynamic topography the use of the mean dynamic topography discussed in this paper improves both the consistency with sea level anomaly observations and the verification skill scores of temperature and salinity in the tropical regions. Furthermore, the use of a mean dynamic topography computed from the model long-term sea surface height mean without observation adjustments results in worsened verification skill scores and highlights the benefits of the current approach for deriving the mean dynamic topography.
    Description: European Commission WP4 Fondazione Cassa di Risparmio di Bologna Cnes
    Description: Published
    Description: 738-754
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: 4.6. Oceanografia operativa per la valutazione dei rischi in aree marine
    Description: 5.4. Banche dati di geomagnetismo, aeronomia, clima e ambiente
    Description: JCR Journal
    Description: partially_open
    Keywords: Data assimilation ; Satellite observations ; Ocean models ; Sea level ; In situ observations ; Variational analysis ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling ; 03. Hydrosphere::03.01. General::03.01.03. Global climate models ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 17
    Publication Date: 2017-04-04
    Description: This article explores an ensemble strategy for evaluating the impact of different observing networks. The impact is represented by the relative ensemble spread increase, in model space, of data-denial ensemble simulations with respect to an ‘all-observation’ ensemble experiment, evaluated independently for each observing network. The forecast-error covariance intercomparison reduces to the ensemble spread intercomparison; thus, the method can be applied to any assimilation system and requires only the proper construction of an ensemble system, although the impact assessment results depend on the specific configuration of the investigated analysis system. Our approach allows us to determine the impact of the observing networks in model space (unlike Observing System Experiments) and for different forecast ranges of the ocean general circulation model. No tangent-linear and adjoint coding of the ocean model are required. The method is applied for demonstration to a large-scale global ocean variational analysis system. The ensemble members are generated by (i) perturbing the observations within the 3D-Var assimilation scheme, (ii) perturbing the surface forcing, and (iii) stochastically perturbing the ocean model parametrisation tendencies. The impact is calculated for CTDs, XBTs, moorings, Argo, sea-level anomaly observations and sea-surface temperature measurements from space-borne microwave instruments within the three-year period from January 2003 to December 2005. It turns out, on the global scale, that altimetry exhibits the largest impact on near-surface temperature and sea-surface height. In contrast, deep-ocean impacts are led by the Argo float network. As expected, space-borne observations (sea-level anomaly and sea-surface temperature observations) increase their impact in the Southern Ocean, due to the lack of a robust network of in situ observations. The results of the impact on the salinity indicate the great importance of Argo floats, especially in the northern Extratropics.
    Description: Published
    Description: 1842–1862
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: JCR Journal
    Description: restricted
    Keywords: ocean modeling, data assimilation ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 18
    Publication Date: 2017-04-04
    Description: We propose an improvement of an oceanographic three dimensional variational assimilation scheme (3D-VAR), named OceanVar, by introducing a recursive filter (RF) with the third order of accuracy (3rd-RF), instead of an RFwith first order of accuracy (1st-RF), to approximate horizontal Gaussian covariances. An advantage of the proposed scheme is that the CPU's time can be substantially reduced with benefits on the large scale applications. Experiments estimating the impact of 3rd-RF are performed by assimilating oceanographic data in two realistic oceanographic applications. The results evince benefits in terms of assimilation process computational time, accuracy of the Gaussian correlation modeling, and show that the 3rd-RF is a suitable tool for operational data assimilation.
    Description: The research leading to these results has received funding from the Italian Ministry of Education, University and Research and the Italian Ministry of Environment, Land and Sea under the GEMINA and Next Data projects. We also thank the researchers Ardelio Galletti and Livia Marcellino of the University of Naples "Parthenope", Department of Science and Technology, Italy, for useful discussions. Finally we specially thank the anonymous referees for the work improvement.
    Description: Published
    Description: 631-647
    Description: 4A. Clima e Oceani
    Description: JCR Journal
    Description: open
    Keywords: VARIATIONAL ASSIMILATION ; OBJECTIVE ANALYSIS ; BACKGROUND ERROR ; MODEL ; EQUATION ; FILTERS ; IMPACT ; OCEAN ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 19
    Publication Date: 2017-04-04
    Description: Global ocean modelling activities at Centro Euro-Me diterraneo per i Cambiamenti Climatici (CMCC) include the development and implementation of data assimilation techniques appl ied to a global ocean general circulation model to investigate the role of the ocean on climate variability and predictability. T he main objective is the production of global ocean re-analyses over multidecadal periods to reconstruct the state of the ocean and t he large scale circulation over the recent past for climate applications and for the assessment of the benefits of assimilating ocea n observations on seasonal and longer climate predi ctability. Here we present the main characteristics of the ass imilation system and a set of global ocean re-analy ses produced with this system. Applications of these data assimilation pro ducts to the study of climate variability and to th e assessment of subsurface ocean initialization contribution to seasonal clima te predictability will also be reported.
    Description: The authors wish to thank the Centro Euro-Mediterra neo per i Cambiamenti Climatici for its financial a nd scientific support of some of the activities presented in this work. The implementation and the following improvements of th e global ocean assimilation system were carried out in the framework of the ENA CT (EVK2-CT2001-00117) and ENSEMBLES (GOCE-CT-2003- 505539) projects. We wish to thank Dr. A. Bellucci for his effort in this activity during the ENACT project. W e are grateful to the TAO Project Office for the TAO data, and James Carton and Genna dy Chepurin for supplying salinity data from Bermud a station. The MyOcean (FP7-SPACE-2007-1) project is feeding some of the most recent developments.
    Description: Published
    Description: 28-38
    Description: 4A. Clima e Oceani
    Description: N/A or not JCR
    Description: open
    Keywords: Global ocean–sea-ice modelling ; DATA ASSIMILATION SCHEME ; climate variability ; climate predictability ; subsurface ocean initialization ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 20
    Publication Date: 2017-04-04
    Description: The authors gratefully acknowledge the support from the EU FP7 COMBINE Project (Grant Agreement number 226520) and the Italian Ministry of Education, University and Research and Ministry for Environment, Land and Sea through the Project GEMINA. Stimulating discussions with Jurgen Kro ̈ ger, Rein Haarsma and Andrea Borrelli, and insightful comments on the man- uscript by Panos Athanasiadis are also acknowledged.
    Description: We investigate the effects of realistic oceanic initial conditions on a set of decadal climate predictions performed with a state-of-the-art coupled ocean-atmosphere general circulation model. The decadal predictions are performed in both retrospective (hindcast) and forecast modes. Specifically, the full set of prediction experiments consists of 3-member ensembles of 30-year simulations, starting at 5-year intervals from 1960 to 2005, using historical radiative forcing conditions for the 1960-2005 period, followed by RCP4.5 scenario settings for the 2006-2035 period. The ocean initial states are provided by ocean reanalyses differing by assimilation methods and assimilated data, but obtained with the same ocean model. The use of alternative ocean reanalyses yields the required perturbation of the full three-dimensional ocean state aimed at generating the ensemble members spread. A full-value initialization technique is adopted. The predictive skill of the system appears to be driven to large extent by trends in the radiative forcing. However, after detrending, a residual skill over specific regions of the ocean emerges in the near-term. Specifically, natural fluctuations in the North Atlantic sea-surface temperature (SST) associated with large-scale multi-decadal variability modes are predictable in the 2-5 year range. This is consistent with significant predictive skill found in the Atlantic meridional overturning circulation over a similar timescale. The dependency of forecast skill on ocean initialization is analysed, revealing a strong impact of details of ocean data assimilation products on the system predictive skill. This points to the need of reducing the large uncertainties that currently affect global ocean reanalyses, in the perspective of providing reliable near-term climate predictions.
    Description: EU FP7 COMBINE Project 226520 Italian Ministry of Education, University and Research Ministry for Environment, Land and Sea through the Project GEMINA
    Description: Published
    Description: 1483-1497
    Description: 4A. Clima e Oceani
    Description: JCR Journal
    Description: open
    Keywords: MERIDIONAL OVERTURNING CIRCULATION ; DATA ASSIMILATION SCHEME ; NORTH-ATLANTIC ; MULTIDECADAL VARIABILITY ; SURFACE-TEMPERATURE ; MULTIMODEL-ENSEMBLE ; SEA-ICE ; PREDICTABILITY ; OSCILLATION ; SYSTEM ; 03. Hydrosphere::03.01. General::03.01.03. Global climate models
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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