Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm

Rysman, Jean‐François; Panegrossi, Giulia; Sanò, Paolo; Marra, Anna Cinzia; Dietrich, Stefano; Milani, Lisa; Kulie, Mark S.; Casella, Daniele; Camplani, Andrea; Claud, Chantal; Edel, Léo

doi:10.1029/2019gl084576

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Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm

2019
By Rysman, Jean‐François ; Panegrossi, Giulia ; Sanò, Paolo ; ...
Source: Geophysical Research Letters, 46, 13593– 13601

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Geophysical Research Letters
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Rysman, Jean‐François ; Panegrossi, Giulia ; Sanò, Paolo ; Marra, Anna Cinzia ; Dietrich, Stefano ; ... More +

Rysman, Jean‐François ; Panegrossi, Giulia ; Sanò, Paolo ; Marra, Anna Cinzia ; Dietrich, Stefano ; Milani, Lisa ; Kulie, Mark S. ; Casella, Daniele ; Camplani, Andrea ; Claud, Chantal ; Edel, Léo Less -
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NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
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In this study, we present a new module for the Snow retrievaL ALgorithm fOr gMi (SLALOM) that retrieves surface snowfall rate using Global Precipitation Measurement (GPM) Microwave Imager measurements together with humidity and temperature vertical profiles. This module, named Surface Snowfall Rate Module, is tuned using colocated surface snowfall observations of the Cloud Profiling Radar onboard CloudSat. Using this new module, the SLALOM algorithm is able to predict surface snowfall rate with a relative bias of −13%, a root-mean-square error of 0.08 mm/hr, and a correlation coefficient of 0.7. Surface Snowfall Rate Module is then used to retrieve snowfall rate for three case studies and to provide a unique, 70°S to 70°N high-resolution distribution of average surface snowfall rate from 2014 to 2017. This new product will be useful for surface precipitation analyses, global water budget estimation, and climatological analyses.
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Algorithms Remote Sensing Snow CPR GMI Passive Microwave Snowfall
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Geophysical Research Letters, 46, 13593– 13601
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https://doi.org/10.1029/2019gl084576
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Journal Article
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urn:sha256:4818dde81b214cff527b994a785b45517b6cfa50c7d54ef4eb4cb74fa6a00d56
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Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm

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