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Korean Meteorological Society (한국기상학회)
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Evaluation of Soil Moisture Reanalysis Datasets over East Asia Using In-situ Measurements

직접관측자료를 이용한 동아시아 토양수분 재분석자료 성능 진단

  • Bora Lee (Department of Environmental Atmospheric Sciences, Pukyong National University) ;
  • Eunkyo Seo (Department of Environmental Atmospheric Sciences, Pukyong National University)
  • 이보라 (부경대학교 지구환경시스템과학부 환경대기과학전공) ;
  • 서은교 (부경대학교 지구환경시스템과학부 환경대기과학전공)
  • Received : 2024.08.28
  • Accepted : 2024.08.30
  • Published : 2024.11.30
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Abstract

This study evaluates the performance of various soil moisture reanalysis datasets over the East Asian region to identify the most suitable product for climate and hydrological studies. The analysis includes land reanalysis products generated by the Noah, VIC, and Catchment land surface models (LSMs), driven by GLDAS2.0 near-surface atmospheric forcing, alongside MERRA2 and ERA5-land datasets. The 62 in-situ soil moisture measurements observed from 1980 to 2014 are used to validate the modeled data across the entire study period, while 58 of these measurements are used for the May to September (MJJAS) period. Results indicate that, when driven by the same atmospheric forcing, the Noah and Catchment models outperform VIC, and MERRA2 shows lower errors compared to ERA5-land. Seasonal soil moisture variability, primarily driven by the East Asian monsoon, peaks in September, with MERRA2 providing the most realistic simulation of seasonal phase and amplitude. Daily soil moisture variations are better captured by MERRA2 and ERA5-land than by GLDAS2.0-based products. Overall, MERRA2 emerges as the most reliable reanalysis dataset for evaluating both the climatological mean and variability of soil moisture in East Asia. Additionally, multi-model mean analysis reveals a long-term trend of drying soil moisture and enhanced land-atmosphere coupling in northern East Asia.

Keywords

Acknowledgement

이 논문은 국립부경대학교 자율창의학술연구비(2022년)에 의하여 연구되었음.

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