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Interpreting the lake-status record of the East Asian monsoon using a hydrological model

Published online by Cambridge University Press:  20 August 2020

Ge Yu
Affiliation:
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing210008, China
Liangtao Ye*
Affiliation:
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing210008, China School of Environmental Science and Engineering, Anhui Normal University, Wuhu, 241000, China
Zhengyu Liu
Affiliation:
Department of Geography, The Ohio State University, 154 N. Oval Mall, Columbus, OH43017, USA
Bin Xue
Affiliation:
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing210008, China
*
*Corresponding author email address: ylt25ylt@ahnu.edu.cn (L. Ye).

Abstract

The East Asian monsoon (EAM) has experienced significant changes over the past 10,000 years that influenced East Asian agricultural development. However, the magnitude and extent of the EAM precipitation fluctuations at 6 ka remain unresolved, owing to uncertainty in individual lake records and substantial variations in the expansion limits in simulations of the mid-Holocene EAM precipitation. Here we present an approach based on multiple lake-level records using the “1D lake level—2D lake area—3D catchment hydrology” model to reconstruct the precipitation patterns in northern China, and to further quantify the extent of the EAM precipitation expansion in the mid-Holocene relative to today. The precipitation reconstructions suggest an ~550–1100 km northward expansion and an ~530–840 km westward migration of the EAM at 6 ka. At that time, the EAM precipitation domain covered over 6 million square kilometers. Thus, this approach mitigates the uncertainty and arbitrariness of reconstructions of the limit of the EAM precipitation fields and provides a benchmark for future climate modeling studies.

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2020

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