Arabzadeh, A.; Behrangi, A. Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Remote Sens.2021, 13, 2726.
Arabzadeh, A.; Behrangi, A. Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Remote Sens. 2021, 13, 2726.
Arabzadeh, A.; Behrangi, A. Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Remote Sens.2021, 13, 2726.
Arabzadeh, A.; Behrangi, A. Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Remote Sens. 2021, 13, 2726.
Abstract
Various products of the Integrated Multisatellite Retrievals for GPM (IMERG) and passive mi-crowave (PMW) sensors are assessed with respect to near-surface wet-bulb temperature (Tw), precipitation intensity, and surface type (i.e., with and without snow and ice on the surface) over the CONUS and using Stage-IV product as reference precipitation. IMERG products include precipitation estimates from infrared (IR), combined PMW, and their combination. PMW products generally have higher skills than IR over snow- and ice-free surfaces. Over snow- and ice-covered surfaces (1) PMW products (except AMSR-2) show a higher correlation coefficient than IR, (2) IR and PMW precipitation products tend to overestimate precipitation, but at colder temperatures (e.g., Tw<-10oC) PMW products tend to underestimate and IR product continues to show large overestimations, and (3) PMW sensors show higher overall skill in detecting precipitation oc-currence, but not necessarily at very cold Tw. The results suggest that the current approach of IMERG (i.e., replacing PMW with IR precipitation estimates over snow- and ice-surfaces) may need to be revised.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
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