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Article

Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover

1
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USA
2
Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Silas Michaelides
Remote Sens. 2021, 13(14), 2726; https://doi.org/10.3390/rs13142726
Received: 24 May 2021 / Revised: 7 July 2021 / Accepted: 8 July 2021 / Published: 11 July 2021
(This article belongs to the Section Atmosphere Remote Sensing)
Precipitation rate from various products of the integrated multisatellite retrievals for GPM (IMERG) and passive microwave (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 contiguous United States (CONUS) and using ground radar product as reference precipitation. IMERG products include precipitation estimates from infrared (IR), combined PMW, and combination of PMW and IR. It was found that precipitation estimates from PMW products generally have higher skills than IR over snow- and ice-free surfaces. Over snow- and ice-covered surfaces: (1) most PMW products show higher correlation coefficients than IR, (2) at cold temperatures (e.g., Tw < −10 °C), PMW products tend to underestimate and IR product shows large overestimations, and (3) PMW sensors show higher overall skill in detecting precipitation occurrence, 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. View Full-Text
Keywords: rainfall; stage IV; infrared; passive microwave; surface type; wet-bulb temperature rainfall; stage IV; infrared; passive microwave; surface type; wet-bulb temperature
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MDPI and ACS Style

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. https://doi.org/10.3390/rs13142726

AMA Style

Arabzadeh A, Behrangi A. Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Remote Sensing. 2021; 13(14):2726. https://doi.org/10.3390/rs13142726

Chicago/Turabian Style

Arabzadeh, Alireza, and Ali Behrangi. 2021. "Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover" Remote Sensing 13, no. 14: 2726. https://doi.org/10.3390/rs13142726

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