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Quantifying the reliability of precipitation datasets for monitoring large‐scale East Asian precipitation variations
Author(s) -
Sohn SooJin,
Tam ChiYung,
Ashok Karumuri,
Ahn JoongBae
Publication year - 2012
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.2380
Subject(s) - climatology , precipitation , environmental science , anomaly (physics) , quantitative precipitation estimation , rain gauge , scale (ratio) , satellite , flood myth , meteorology , geography , cartography , geology , physics , archaeology , condensed matter physics , aerospace engineering , engineering
Early detection of extreme drought and flood events either over the whole globe or a broad geographical region, and timely dissemination of this information, is indispensable for mitigation and disaster preparedness. Recently, the APEC Climate Center (APCC) has launched a global precipitation variation monitoring product based on the Climate Anomaly Monitoring System‐Outgoing Longwave Radiation Precipitation Index (CAMS‐OPI) data. Here we quantify the reliability of CAMS‐OPI, as well as other gauge‐satellite‐merged and reanalysis precipitation datasets, for the purpose of monitoring large‐scale precipitation variability in East Asia. The ground truth is the newly available gauge‐based data from the project titled ‘Asian Precipitation—Highly‐Resolved Observational Data Integration Towards Evaluation (APHRODITE) of the Water Resources’. It is found that the seasonal‐to‐interannual rainfall deficit and surplus given by various reanalysis systems sometimes do not match the spatial patterns seen in the APHRODITE data. Moreover, maps showing the Standardized Precipitation Index (SPI) become less and less reliable as the time scale based on which values are calculated increases. In contrast, the performance of gauge‐satellite‐based rainfall datasets is satisfactory and the quality of SPI maps does not decay as the time scale increases. Overall, CAMS‐OPI is found to be reliable for monitoring large‐scale precipitation variations over the East Asian sector. Copyright © 2011 Royal Meteorological Society