Investigating various products of IMERG for precipitation retrieval over surfaces with and without snow and ice cover
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remotesensing-13-02726.pdf
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Department of Hydrology and Atmospheric Sciences, University of ArizonaDepartment of Geosciences, University of Arizona
Issue Date
2021
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MDPI AGCitation
Arabzadeh, A., & Behrangi, A. (2021). Investigating various products of IMERG for precipitation retrieval over surfaces with and without snow and ice cover. Remote Sensing, 13(14).Journal
Remote SensingRights
Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Note
Open access journalISSN
2072-4292Version
Final published versionae974a485f413a2113503eed53cd6c53
10.3390/rs13142726
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Except where otherwise noted, this item's license is described as Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).