Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval

Giulia Panegrossi; Jean François Rysman; Daniele Casella; Paolo Sanò; Anna Cinzia Marra; Stefano Dietrich; Mark S. Kulie

doi:10.1109/IGARSS.2018.8518297

Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval

Giulia Panegrossi
, Jean François Rysman
, Daniele Casella
, Paolo Sanò
, Anna Cinzia Marra
, Stefano Dietrich
, Mark S. Kulie

Ev-K2-CNR Committee
SERCO S.p.A.
Michigan Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The assessment of the actual observational capabilities of snowfall by spaceborne microwave radiometers is crucial to develop and improve precipitation retrieval algorithms. Exploiting coincident spaceborne active and passive microwave sensor datasets can effectively enhance our understanding of high-frequency microwave channels sensitivity to snowfall. This study illustrates the results of the analysis of matched Global Precipitation Measurement (GPM) Microwave Imager (GMI) and CloudSat Cloud Profiling Radar (CPR) snowfall observations (mainly found at latitudes between 55° and 65°) providing insights on GMI multi-frequency signals associated with different snowfall types. These findings are used to develop a new algorithm to retrieve snow water path associated to surface snowfall from GMI multichannel measurements.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9323-9326
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8518297
Publication status	Published - 31 Oct 2018
Externally published	Yes
Event	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July

Conference

Conference	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18

Keywords

CloudSat
GMI
GPM
Passive microwave radiometer
Retrieval algorithm
Snowfall

Access to Document

10.1109/IGARSS.2018.8518297

Cite this

Panegrossi, G., Rysman, J. F., Casella, D., Sanò, P., Marra, A. C., Dietrich, S., & Kulie, M. S. (2018). Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 9323-9326). Article 8518297 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8518297

Panegrossi, Giulia ; Rysman, Jean François ; Casella, Daniele et al. / Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 9323-9326 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval",

abstract = "The assessment of the actual observational capabilities of snowfall by spaceborne microwave radiometers is crucial to develop and improve precipitation retrieval algorithms. Exploiting coincident spaceborne active and passive microwave sensor datasets can effectively enhance our understanding of high-frequency microwave channels sensitivity to snowfall. This study illustrates the results of the analysis of matched Global Precipitation Measurement (GPM) Microwave Imager (GMI) and CloudSat Cloud Profiling Radar (CPR) snowfall observations (mainly found at latitudes between 55° and 65°) providing insights on GMI multi-frequency signals associated with different snowfall types. These findings are used to develop a new algorithm to retrieve snow water path associated to surface snowfall from GMI multichannel measurements.",

keywords = "CloudSat, GMI, GPM, Passive microwave radiometer, Retrieval algorithm, Snowfall",

author = "Giulia Panegrossi and Rysman, \{Jean Fran{\c c}ois\} and Daniele Casella and Paolo San{\`o} and Marra, \{Anna Cinzia\} and Stefano Dietrich and Kulie, \{Mark S.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "31",

doi = "10.1109/IGARSS.2018.8518297",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Panegrossi, G, Rysman, JF, Casella, D, Sanò, P, Marra, AC, Dietrich, S & Kulie, MS 2018, Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518297, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 9323-9326, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8518297

Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval. / Panegrossi, Giulia; Rysman, Jean François; Casella, Daniele et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 9323-9326 8518297 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rysman, Jean François

AU - Casella, Daniele

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AU - Dietrich, Stefano

AU - Kulie, Mark S.

PY - 2018/10/31

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N2 - The assessment of the actual observational capabilities of snowfall by spaceborne microwave radiometers is crucial to develop and improve precipitation retrieval algorithms. Exploiting coincident spaceborne active and passive microwave sensor datasets can effectively enhance our understanding of high-frequency microwave channels sensitivity to snowfall. This study illustrates the results of the analysis of matched Global Precipitation Measurement (GPM) Microwave Imager (GMI) and CloudSat Cloud Profiling Radar (CPR) snowfall observations (mainly found at latitudes between 55° and 65°) providing insights on GMI multi-frequency signals associated with different snowfall types. These findings are used to develop a new algorithm to retrieve snow water path associated to surface snowfall from GMI multichannel measurements.

AB - The assessment of the actual observational capabilities of snowfall by spaceborne microwave radiometers is crucial to develop and improve precipitation retrieval algorithms. Exploiting coincident spaceborne active and passive microwave sensor datasets can effectively enhance our understanding of high-frequency microwave channels sensitivity to snowfall. This study illustrates the results of the analysis of matched Global Precipitation Measurement (GPM) Microwave Imager (GMI) and CloudSat Cloud Profiling Radar (CPR) snowfall observations (mainly found at latitudes between 55° and 65°) providing insights on GMI multi-frequency signals associated with different snowfall types. These findings are used to develop a new algorithm to retrieve snow water path associated to surface snowfall from GMI multichannel measurements.

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BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

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Panegrossi G, Rysman JF, Casella D, Sanò P, Marra AC, Dietrich S et al. Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 9323-9326. 8518297. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8518297

Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval

Abstract

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Keywords

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