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  • 1
    Online Resource
    Online Resource
    Verbundvorhaben MiKlip-VESPA: Variabilität von Extremerereignissen, ihre Ursachen und ihre Vorhersagbarkeit auf dekadischen Zeitskalen in Ensembles von Klimasimulationen : Verbundschlussbericht : BMBF Forschungsvorhaben : Laufzeit: 01.09.2011-31.08.2015, kostenneutral verlängert bis 31.12.2015 (2016)
    [Berlin] : [Freie Universität Berlin (FUB), Institut für Meteorologie]
    Details Availability
    Keywords: Forschungsbericht ; Klima ; Prognose ; Modell
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (43 Seiten, 5,37 MB) , Diagramme
    URL: https://edocs.tib.eu/files/e01fb17/884850099.pdf
    URL: https://doi.org/10.2314/GBV:884850099
    DOI: 10.2314/GBV:884850099
    Language: German
    Note: Förderkennzeichen BMBF 01LP1110A-01LP1110B. - Verbund-Nummer 01079265 , "Autor(en): Prof. Dr. Ulbrich, Uwe; M.Sc. Pasternack, Alexander; M.Sc. Richling, Andy; Dipl. Math. Höschel, Ines; Dr. Grieger, Jens; B.Sc. Landrock, Franz; PD Dr. Névir, Peter" - Berichtsblatt des Teilvorhabens I (Freie Universität Berlin) , "Autor(en): Dipl.-Met. Redl., Robert; Prof. Dr. Fink, Andreas H.; PD Dr. Pinto, Joaquim G." - Berichtsblatt des Teilvorhabens 2 (Universität zu Köln) der Druck-Ausgabe , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Mit deutscher und englischer Zusammenfassung
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  • 2
    Online Resource
    Online Resource
    Verbundvorhaben EWATEC-COAST - Technologien zum nachhaltigen Gewässer- und Umweltschutz von Küstenlandschaften in Vietnam, Teilprojekt 2: Meteorologie und Klimawand : Schlussbericht BMBF-Forschungsvorhaben : Laufzeit: 01.07.2012-30.06.2015 (kostenneutral verlängert bis 31.10.2015) (2016)
    [Köln] : [Universität zu Köln, Institut für Geophysik und Meteorologie]
    Details Availability
    Keywords: Forschungsbericht ; Gewässerschutz
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (21 Seiten, 1021,22 KB) , Illustrationen, Diagramme
    URL: https://doi.org/10.2314/GBV:1016206755
    DOI: 10.2314/GBV:1016206755
    Language: German
    Note: Förderkennzeichen BMBF 02WCL1217C. - Verbund-Nummer 01100985 , Der Leiter des Teilprojekts ist laut Berichtsblatt der Druck-Ausgabe Autor , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 3
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    Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model (2018)
    SPRINGER
    In:  EPIC3Climate Dynamics, SPRINGER, ISSN: 0930-7575
    Details
    Publication Date: 2018-08-27
    Description: The climate in Mexico and Central America is influenced by the Pacific and the Atlantic oceanic basins and atmospheric conditions over continental North and South America. These factors and important ocean–atmosphere coupled processes make the region’s climate a great challenge for global and regional climate modeling. We explore the benefits that coupled regional climate models may introduce in the representation of the regional climate with a set of coupled and uncoupled simulations forced by reanalysis and global model data. Uncoupled simulations tend to stay close to the large-scale patterns of the driving fields, particularly over the ocean, while over land they are modified by the regional atmospheric model physics and the improved orography representation. The regional coupled model adds to the reanalysis forcing the air–sea interaction, which is also better resolved than in the global model. Simulated fields are modified over the ocean, improving the representation of the key regional structures such as the Intertropical Convergence Zone and the Caribbean Low Level Jet. Higher resolution leads to improvements over land and in regions of intense air–sea interaction, e.g., off the coast of California. The coupled downscaling improves the representation of the Mid Summer Drought and the meridional rainfall distribution in southernmost Central America. Over the regions of humid climate, the coupling corrects the wet bias of the uncoupled runs and alleviates the dry bias of the driving model, yielding a rainfall seasonal cycle similar to that in the reanalysis-driven experiments.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
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    The South Atlantic Anticyclone as a key player for the representation of the tropical Atlantic climate in coupled climate models (2016)
    Springer
    In:  EPIC3Climate Dynamics, Springer, ISSN: 0930-7575
    Details
    Publication Date: 2016-09-19
    Description: The key role of the South Atlantic Anticyclone (SAA) on the seasonal cycle of the tropical Atlantic is investigated with a regionally coupled atmosphere–ocean model for two different coupled domains. Both domains include the equatorial Atlantic and a large portion of the northern tropical Atlantic, but one extends southward, and the other northwestward. The SAA is simulated as internal model variability in the former, and is prescribed as external forcing in the latter. In the first case, the model shows significant warm biases in sea surface temperature (SST) in the Angola-Benguela front zone. If the SAA is externally prescribed, these biases are substantially reduced. The biases are both of oceanic and atmospheric origin, and are influenced by ocean–atmosphere interactions in coupled runs. The strong SST austral summer biases are associated with a weaker SAA, which weakens the winds over the southeastern tropical Atlantic, deepens the thermocline and prevents the local coastal upwelling of colder water. The biases in the basins interior in this season could be related to the advection and eddy transport of the coastal warm anomalies. In winter, the deeper thermocline and atmospheric fluxes are probably the main biases sources. Biases in incoming solar radiation and thus cloudiness seem to be a secondary effect only observed in austral winter. We conclude that the external prescription of the SAA south of 20°S improves the simulation of the seasonal cycle over the tropical Atlantic, revealing the fundamental role of this anticyclone in shaping the climate over this region.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 5
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    Regionally coupled atmosphere‐ocean‐ sea ice‐marine biogeochemistry model ROM: 1. Description and validation. (2015)
    Wiley
    In:  EPIC3Journal of Advances in Modeling Earth Systems, Wiley, ISSN: 1942-2466
    Details
    Publication Date: 2015-02-17
    Description: The general circulation models used to simulate global climate typically feature resolution too coarse to reproduce many smaller scale processes, which are crucial to determining the regional responses to climate change. A novel approach to downscale climate change scenarios is presented which includes the interactions between the North Atlantic Ocean and the European shelves as well as their impact on the North Atlantic and European climate. The goal of this paper is to introduce the global ocean – regional atmosphere coupling concept and to show the potential benefits of this model system to simulate present day climate. A global ocean – sea ice – marine biogeochemistry model (MPIOM/HAMOCC) with regionally high horizontal resolution is coupled to an atmospheric regional model (REMO) and global terrestrial hydrology model (HD) via the OASIS coupler. Moreover, results obtained with ROM using NCEP/NCAR reanalysis and ECHAM5/MPIOM CMIP3 historical simulations as boundary conditions are presented and discussed for the North Atlantic and North European region. The validation of all the model components, i.e. ocean, atmosphere, terrestrial hydrology and ocean biogeochemistry is performed and discussed. The careful and detailed validation of ROM provides evidence that the proposed model system improves the simulation of many aspects of the regional climate, remarkably the ocean, even though some biases persist in other model components, thus leaving potential for future improvement. We conclude that ROM is a powerful tool to estimate possible impacts of climate change on the regional scale.
    Repository Name: EPIC Alfred Wegener Institut
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  • 6
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    Perspectives of regional paleoclimate modeling (2019)
    Wiley
    In:  Annals of the New York Academy of Sciences, 1436 (1). pp. 54-69.
    Details
    Publication Date: 2020-01-02
    Description: Regional climate modeling bridges the gap between the coarse resolution of current global climate models and the regional-to-local scales, where the impacts of climate change are of primary interest. Here, we present a review of the added value of the regional climate modeling approach within the scope of paleoclimate research and discuss the current major challenges and perspectives. Two time periods serve as an example: the Holocene, including the Last Millennium, and the Last Glacial Maximum. Reviewing the existing literature reveals the benefits of regional paleo climate modeling, particularly over areas with complex terrain. However, this depends largely on the variable of interest, as the added value of regional modeling arises from a more realistic representation of physical processes and climate feedbacks compared to global climate models, and this affects different climate variables in various ways. In particular, hydrological processes have been shown to be better represented in regional models, and they can deliver more realistic meteorological data to drive ice sheet and glacier modeling. Thus, regional climate models provide a clear benefit to answer fundamental paleoclimate research questions and may be key to advance a meaningful joint interpretation of climate model and proxy data.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1111/nyas.13865
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 7
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    MiKlip - a National Research Project on Decadal Climate Prediction (2016)
    AMS (American Meteorological Society)
    In:  Bulletin of the American Meteorological Society, 97 (12). pp. 2379-2394.
    Details
    Publication Date: 2019-02-01
    Description: A German national project coordinates research on improving a global decadal climate prediction system for future operational use. MiKlip, an eight-year German national research project on decadal climate prediction, is organized around a global prediction system comprising the climate model MPI-ESM together with an initialization procedure and a model evaluation system. This paper summarizes the lessons learned from MiKlip so far; some are purely scientific, others concern strategies and structures of research that targets future operational use. Three prediction-system generations have been constructed, characterized by alternative initialization strategies; the later generations show a marked improvement in hindcast skill for surface temperature. Hindcast skill is also identified for multi-year-mean European summer surface temperatures, extra-tropical cyclone tracks, the Quasi-Biennial Oscillation, and ocean carbon uptake, among others. Regionalization maintains or slightly enhances the skill in European surface temperature inherited from the global model and also displays hindcast skill for wind-energy output. A new volcano code package permits rapid modification of the predictions in response to a future eruption. MiKlip has demonstrated the efficacy of subjecting a single global prediction system to a major research effort. The benefits of this strategy include the rapid cycling through the prediction-system generations, the development of a sophisticated evaluation package usable by all MiKlip researchers, and regional applications of the global predictions. Open research questions include the optimal balance between model resolution and ensemble size, the appropriate method for constructing a prediction ensemble, and the decision between full-field and anomaly initialization. Operational use of the MiKlip system is targeted for the end of the current decade, with a recommended generational cycle of two to three years.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    DOI: 10.1175/BAMS-D-15-00184.1
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