A Holocene East Asian winter monsoon record at the southern edge of the Gobi Desert and its comparison with a transient simulation

Verfasser / Beitragende:
[Yu Li, Carrie Morrill]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 45/5-6(2015-09-01), 1219-1234
Format:
Artikel (online)
ID: 605471851
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024 7 0 |a 10.1007/s00382-014-2372-5  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-014-2372-5 
245 0 2 |a A Holocene East Asian winter monsoon record at the southern edge of the Gobi Desert and its comparison with a transient simulation  |h [Elektronische Daten]  |c [Yu Li, Carrie Morrill] 
520 3 |a The East Asian winter monsoon (EAWM) exhibits significant variability on intraseasonal, interannual, and interdecadal time scales and the variability can be extended to Holocene centennial and millennial scales. Previous Holocene EAWM proxy data records, which were mostly located in Central, Eastern and Southern China, did not show a consistent Holocene EAWM history. Therefore, it is difficult to provide insights into mechanisms of the long-term winter monsoon variability on the basis of the records. Eolian sediments at the southern edge of the Gobi Desert, Western China, are sensitive to the EAWM changes and less affected by the East Asian summer monsoon due to an obstruction of the Qinghai-Tibet Plateau. This paper presents a comparison between a well-dated Holocene EAWM record and coupled climate model simulations, so as to explore physical processes and influencing factors of the Holocene EAWM. Sediment samples from two Holocene eolian sedimentary sections [Huangyanghe (a) and Huangyanghe (b)] were acquired at the southern edge of the Gobi Desert. Chronologies were established based on twenty bulk organic matter AMS 14C ages and five pollen concentrates AMS 14C ages. Proxy data, including grain-size, total organic carbon, magnetic susceptibility and carbonate content were obtained from the two eolian sections. The grain-size standard deviation model was applied to determine components sensitive to variability of the Holocene EAWM. After a comparison of environmentally-sensitive grain-size components and proxy data, the 20-200μm component at the Huangyanghe (a) and the 20-159μm component at the Huangyanghe (b) section were selected as indicators of the Holocene EAWM, which show a strong early Holocene winter monsoon and a decline of the winter monsoon since the mid-Holocene. We also present equilibrium and transient simulations of the climate evolution for the Holocene using a state-of-art coupled climate model: the Community Climate System Model version 3 (CCSM3). Indices for the Holocene EAWM were calculated and are consistent with the reconstructed Holocene EAWM intensity. The simulations indicate that orbital forcing effects on the land-sea temperature and sea level pressure contrast can account for the observed EAWM trends. Other forcings that were present in the early Holocene, including the remnant Laurentide ice sheet and meltwater forcing in the North Atlantic, were not responsible for the Holocene trends. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a East Asian winter monsoon  |2 nationallicence 
690 7 |a Holocene  |2 nationallicence 
690 7 |a Climate simulations  |2 nationallicence 
690 7 |a The Gobi Desert  |2 nationallicence 
690 7 |a Eolian sediments  |2 nationallicence 
700 1 |a Li  |D Yu  |u College of Earth and Environmental Sciences, Center for Hydrologic Cycle and Water Resources in Arid Region, Lanzhou University, 730000, Lanzhou, China  |4 aut 
700 1 |a Morrill  |D Carrie  |u Paleoclimatology Branch, NOAA's National Climatic Data Center, 80305, Boulder, CO, USA  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/5-6(2015-09-01), 1219-1234  |x 0930-7575  |q 45:5-6<1219  |1 2015  |2 45  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-014-2372-5  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00382-014-2372-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Yu  |u College of Earth and Environmental Sciences, Center for Hydrologic Cycle and Water Resources in Arid Region, Lanzhou University, 730000, Lanzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Morrill  |D Carrie  |u Paleoclimatology Branch, NOAA's National Climatic Data Center, 80305, Boulder, CO, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/5-6(2015-09-01), 1219-1234  |x 0930-7575  |q 45:5-6<1219  |1 2015  |2 45  |o 382