Precipitation over Monsoon Asia: A Comparison of Reanalyses and Observations

Journal of Climate - Tập 30 Số 2 - Trang 465-476 - 2017
Andrej Ceglar1, Andrea Toreti1, Gianpaolo Balsamo2, Shinya Kobayashi3
1European Commission Joint Research Centre, Ispra, Italy
2European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
3Japan Meteorological Agency, Tokyo, Japan

Tóm tắt

AbstractReanalysis products represent a valuable source of information for different impact modeling and monitoring activities over regions with sparse observational data. It is therefore essential to evaluate their behavior and their intrinsic uncertainties. This study focuses on precipitation over monsoon Asia, a key agricultural region of the world. Four reanalysis datasets are evaluated, namely ERA-Interim, ERA-Interim/Land, AgMERRA (an agricultural version of MERRA), and JRA-55. APHRODITE and the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) dataset are the two gridded observational datasets used for the evaluation; the former is based on rain gauge data and the latter on a combination of satellite and rain gauge data. Differences in seasonality, moderate-to-heavy precipitation events, daily distribution, and drought characteristics are analyzed. Results show remarkable differences between the APHRODITE and CHIRPS observational datasets as well as between these datasets and the reanalyses. AgMERRA generally achieves the best performance, but it is not updated at near–real time. ERA-Interim/Land shows good spatial performance, but when the interest is on the temporal evolution JRA-55 is recommended, as it exhibits the most stable temporal behavior. This study shows that the use of reanalyses for impact modeling and monitoring over monsoon Asia requires an accurate evaluation and choices to be tailored to the specific needs.

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Journal of Climate

Tập 30 Số 2

465-476

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