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New Saharan wind observations reveal substantial biases in analysed dust-generating winds

Roberts, Alexander J.; Marsham, John H.; Knippertz, Peter ORCID iD icon 1; Parker, Douglas J.; Bart, Mark; Garcia-Carreras, Luis; Hobby, Matthew; McQuaid, James B.; Rosenberg, Philip D.; Walker, Daniel
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


For the remote Sahara, the Earth's largest dust source, there has always been a near-absence of data for evaluating models. Here, new observations from the Fennec project are used along with Sahelian data from the African Monsoon Multidisciplinary Analysis (AMMA) to give an unprecedented evaluation of dust-generating winds in the European Centre for Medium-Range Weather Forecasts ERA-Interim reanalysis (ERA-I). Consistent with past studies, near-surface, high-speed winds are lacking in ERA-I and the diurnal variability is under-represented. During the summer monsoon season, correlations of ERA-I with observed wind-speed are low (∼0.35 in Sahel and 0.25–0.4 in the Sahara). Fennec data show for the first time that: (1) correlations are reduced even in the Sahara, not directly influenced by the monsoon, (2) the systematic underestimation of observed winds by ERA-I in the summertime Sahel extends into the central Sahara: potentially explaining the failure of global models to capture the observed global dust maximum that occurs over the summertime Sahara (such as CMIP5), and demonstrates that modelled winds must be improved if they are to capture this key feature of the climatology.

Volltext §
DOI: 10.5445/IR/1000073794
DOI: 10.1002/asl.765
Zitationen: 19
Web of Science
Zitationen: 19
Zitationen: 21
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1530-261X
KITopen-ID: 1000073794
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Atmospheric science letters
Verlag Wiley Open Access
Band 18
Heft 9
Seiten 366–372
Nachgewiesen in Web of Science
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