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  • 2015-2019  (4)
  • 2016  (4)
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  • 2015-2019  (4)
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  • 1
    Online Resource
    Online Resource
    Verbundvorhaben: Dekadische Klimavorhersage in der westafrikanischen Monsunregion und in der Zyklogeneseregion des tropischen Atlantiks (DEPARTURE) : Verbundschlussbericht : Berichtszeitraum: 01.09.2011-31.08.2015 (2016)
    Würzburg : Universität Würzburg
    Details Availability
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (80 Seiten, 11,13 MB) , Diagramme
    URL: https://edocs.tib.eu/files/e01fb16/872337413.pdf
    URL: https://doi.org/10.2314/GBV:872337413
    DOI: 10.2314/GBV:872337413
    Language: German
    Note: Förderkennzeichen BMBF 01LP1129A-01LP1129F. - Verbund-Nummer 01097948 , Autoren dem Berichtsblatt entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Zusammenfassungen in deutscher und englischer Sprache
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  • 2
    Online Resource
    Online Resource
    Klimawandel in Deutschland : Entwicklung, Folgen, Risiken und Perspektiven (2016)
    Berlin, Heidelberg : Springer Berlin / Heidelberg
    Details Availability
    Keywords: Electronic books
    Description / Table of Contents: Intro -- Beteiligte -- Inhaltsverzeichnis -- 1 Einführung -- Literatur -- I Globale Klimaprojektionen und regionale Projektionen für Deutschland und Europa -- 2 Globale Sicht des Klimawandels -- 2.1 Geschichte der Klimamodellierung -- 2.2 Komponenten des Klimasystems, Prozesse und Rückkopplungen -- 2.3 Ensembles von Klimamodellen und Szenarien -- 2.3.1 Beschreibung der Szenarien -- 2.4 IPCC-Bericht: Fortschritte und Schlüsselergebnisse -- 2.4.1 Simulation des historischen Klimawandels -- 2.4.2 Projektionen des zukünftigen Klimas -- 2.5 Kurz gesagt -- Literatur -- 3 Beobachtung von Klima und Klimawandel in Mitteleuropa und Deutschland -- 3.1 Einleitung -- 3.2 Beobachtung des Klimawandels in Deutschland -- 3.2.1 Geschichte der Wetterbeobachtung in Deutschland -- 3.2.2 Das aktuelle Stationsmessnetz in Deutschland -- 3.2.3 Die Beobachtung wichtiger Klimagrößen im Einzelnen -- 3.2.4 Klimatrends in Deutschland und den Bundesländern -- 3.3 Datensätze für Deutschland und Europa -- 3.3.1 Stationsdaten -- 3.3.2 Gerasterte Datensätze -- 3.4 Kurz gesagt -- Literatur -- 4 Regionale Klimamodellierung -- 4.1 Methoden der regionalen Klimamodellierung -- 4.1.1 Dynamische Regionalisierung -- 4.1.2 Statistische Regionalisierung -- 4.2 Bestandteile regionaler Klimamodelle -- 4.3 Modellvalidierung und Evaluierung des Referenzklimas -- 4.4 Ensemble und Bandbreiten regionaler Klimaprojektionen -- 4.5 Projizierte Veränderungen von Temperatur und Niederschlag im 21. Jahrhundert -- 4.6 Kurz gesagt -- Literatur -- 5 Grenzen und Herausforderungen der regionalen Klimamodellierung -- 5.1 Anforderungen an Modelle -- 5.2 Robustheit der Ergebnisse aus der regionalen Klimamodellierung -- 5.3 Erzeugung und Interpretation von Ensembles -- 5.4 Mehrwert der regionalen Modellierung -- 5.5 Kurz gesagt -- Literatur -- II Klimawandel in Deutschland: regionale Besonderheiten und Extreme.
    Type of Medium: Online Resource
    Pages: 1 online resource (352 pages)
    ISBN: 9783662503973
    URL: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6422840
    Language: German
    Note: Description based on publisher supplied metadata and other sources
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  • 3
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    The Assessment of Surface Air Temperature and Precipitation Simulated by Regional Climate Model REMO over China (2016)
    In:  EPIC3CLIMATE CHANGE RESEARCH, 12(4), pp. 286-293, ISSN: 1673-1719
    Details
    Publication Date: 2018-12-10
    Description: The ability of German regional climate Model (REMO) to simulate the near surface air temperature and total precipitation over China in 1989-2008 were assessed with the use of Taylor diagrams and bias analysis. Comparing the simulated near surface air temperature with a 20-year observational dataset from China, the spatial correlation coefficient was relatively high (0.94). However, the spatial correlation coefficient for total precipitation was relatively low (about 0.42). The near surface air temperature simulated by REMO was higher than the observed values in most part of China, showing a bias range within 4 C. Significant cold bias of about -4 to -2 C occurred over most of the Qinghai-Tibetan Plateau. In terms of total precipitation, the simulated values were higher than the observed ones, with biases evenly distributed. The annual mean bias in most part of China was within 300 mm. Except for the Qinghai-Tibetan Plateau, South China and Southwest China, REMO accurately reflected the distribution of near surface air temperature and total precipitation. REMO represented the temperature and total precipitation well in North China and Northeast China. REMO simulations were quite close to observations for near surface air temperature in summer and total precipitation in winter. REMO still needs to be improved in complex terrain areas.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    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
    Format: application/pdf
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