Extreme Lake-Effect Snow from a GPM Microwave Imager Perspective: Observational Analysis and Precipitation Retrieval Evaluation

Milani, Lisa; Kulie, Mark S.; Casella, Daniele; Kirstetter, Pierre E.; Panegrossi, Giulia; Petkovic, Veljko; Ringerud, Sarah E.; Rysman, Jean-François; Sanò, Paolo; Wang, Nai-Yu; You, Yalei; Skofronick-Jackson, Gail

doi:10.1175/jtech-d-20-0064.1

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Extreme Lake-Effect Snow from a GPM Microwave Imager Perspective: Observational Analysis and Precipitation Retrieval Evaluation

2021
By Milani, Lisa ; Kulie, Mark S. ; Casella, Daniele ; ...
Source: Journal of Atmospheric and Oceanic Technology, 38(2), 293-311

[PDF-3.49 MB]

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Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Milani, Lisa ; Kulie, Mark S. ; Casella, Daniele ; Kirstetter, Pierre E. ; Panegrossi, Giulia ; ... More +

Milani, Lisa ; Kulie, Mark S. ; Casella, Daniele ; Kirstetter, Pierre E. ; Panegrossi, Giulia ; Petkovic, Veljko ; Ringerud, Sarah E. ; Rysman, Jean-François ; Sanò, Paolo ; Wang, Nai-Yu ; You, Yalei ; Skofronick-Jackson, Gail Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

This study focuses on the ability of the Global Precipitation Measurement (GPM) passive microwave sensors to detect and provide quantitative precipitation estimates (QPE) for extreme lake-effect snowfall events over the U.S. lower Great Lakes region. GPM Microwave Imager (GMI) high-frequency channels can clearly detect intense shallow convective snowfall events. However, GMI Goddard Profiling (GPROF) QPE retrievals produce inconsistent results when compared with the Multi-Radar Multi-Sensor (MRMS) ground-based radar reference dataset.
Keywords:

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Bayesian Methods Lake Effects Microwave Observations Remote Sensing Snowbands Snowfall
Source:

Journal of Atmospheric and Oceanic Technology, 38(2), 293-311
DOI:

https://doi.org/10.1175/jtech-d-20-0064.1
Document Type:

Journal Article
Funding:

Grant no. NA19NES4320002
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Submitted
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urn:sha256:1e9660ad15d4ffa7ac72e0e33a79b60e7e886663a08afbd98991ea31c7fbb36c
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Extreme Lake-Effect Snow from a GPM Microwave Imager Perspective: Observational Analysis and Precipitation Retrieval Evaluation

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