Remote Sensing of Water-Related Hazards. Группа авторов

GPM Global Precipitation Measurement GSMaP Global Satellite Mapping of Precipitation GSMaP Gauge‐adjusted Global Satellite Mapping of Precipitation V6/V7 IMERG Integrated Multi‐satellitE Retrievals for Global Precipitation Measurement IMERG_cal IMERG calibrated precipitation IMERG_uncal IMERG uncalibrated precipitation IMERG‐E IMERG Early run IMERG‐F IMERG Final run KGE’ Kling‐Gupta efficiency ME Mean error MERRA2 The Modern‐Era Retrospective Analysis for Research and Applications, Version 2 MTC Multiplicative TC NE Northeastern region PCDR PERSIANN‐Climate Data Record PERSIANN Precipitation Estimation from Remotely Sensed Imagery Using Artificial Neural Networks PERSIANN‐CCS PERSIANN‐ Cloud Classification System POD Probability of detection RMSE Root mean square error RTI Rain Trigger Index SM2RAIN SM2RAIN based on ESA Climate Change Initiative (CCI) SMI Soil Moisture Index T3B42 TRMM Multi‐satellite Precipitation Analysis (TMPA) 3B42 V7 TC Triple collocation TMI TRMM microwave imager TMPA TRMM multi‐satellite precipitation analysis TP Qinghai‐Tibet Plateau XJ Xinjiang Province

ACKNOWLEDGMENTS

      We appreciate the extensive efforts by the developers of the ground, satellite, and reanalysis precipitation datasets to make their products available. The study is funded by the Global Water Futures program in Canada, the National Natural Science Foundation of China (grant 71461010701 and 41471430), and the National Key R&D Program of China (2018YFC1508105).

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