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Simulated regional dust cycle in the Carpathian Basin and the Adriatic Sea region during the Last Glacial Maximum

Ludwig, Patrick ORCID iD icon; Gavrilov, Milivoj B.; Markovic, Slobodan B.; Ujvari, Gabor; Lehmkuhl, Frank

Abstract:

The climate and environmental conditions in the Carpathian Basin and the adjacent northern Italy/Adriatic region during the Last Glacial Maximum (LGM) exhibit some major differences, as compared to present-day conditions. For instance, high accumulation rates recorded in loess deposits point to an active dust cycle during the LGM. Here, we investigate the climate conditions and provide new insights into the regional dust cycle based on regional climate simulations for both LGM and present-day boundary conditions. The high-resolution model output (grid spacing of ∼8.5 km) is in good agreement with available proxy data, showing much colder (particularly during winter) and drier conditions during the LGM over the model domain. Further, the simulated aeolian dust cycle of small grain size particles (<20 μm) is investigated in more detail for LGM conditions. Highest dust emissions are simulated to the east of the Alpine ice sheet and in the Kvarner Bay region. In the northern Carpathian Basin, dust deposition plumes indicate prevailing northerly (NW, N and NE) winds. Strong Bora winds flowing down the slopes of the Dinaric Alps appear to play a major role in the local to regional dust cycle in the northern Adriatic region. ... mehr


Originalveröffentlichung
DOI: 10.1016/j.quaint.2020.09.048
Scopus
Zitationen: 24
Web of Science
Zitationen: 20
Dimensions
Zitationen: 29
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 20.04.2021
Sprache Englisch
Identifikator ISSN: 1040-6182
KITopen-ID: 1000124068
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Quaternary international
Verlag Elsevier
Band 581-582
Seiten 114-127
Vorab online veröffentlicht am 28.09.2020
Nachgewiesen in Dimensions
Web of Science
Scopus
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