Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica

Microwave brightness temperatures observed in Antarctica at 89 GHz from the advanced microwave sounding unit B (AMSU-B) point out an exceptional decrease of 57 K at Dome Fuji ( 77.31°S , 39.70°E ) during the 2019–2020 summer. The grain size index (GSI) based on 89 and 150 GHz from AMSU-B and indepen...

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Published in:IEEE Geoscience and Remote Sensing Letters
Main Authors: Stefanini, Claudio, Macelloni, Giovanni, Leduc-Leballeur, Marion, Picard, Ghislain
Format: Article in Journal/Newspaper
Language:unknown
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10278/5053021
https://doi.org/10.1109/lgrs.2024.3367111
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spelling ftuniveneziairis:oai:iris.unive.it:10278/5053021 2024-04-21T07:51:59+00:00 Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica Stefanini, Claudio Macelloni, Giovanni Leduc-Leballeur, Marion Picard, Ghislain Stefanini, Claudio Macelloni, Giovanni Leduc-Leballeur, Marion Picard, Ghislain 2024 https://hdl.handle.net/10278/5053021 https://doi.org/10.1109/lgrs.2024.3367111 unknown volume:21 firstpage:1 lastpage:5 numberofpages:5 journal:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS https://hdl.handle.net/10278/5053021 doi:10.1109/lgrs.2024.3367111 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85186082568 info:eu-repo/semantics/openAccess Settore GEO/11 - Geofisica Applicata info:eu-repo/semantics/article 2024 ftuniveneziairis https://doi.org/10.1109/lgrs.2024.3367111 2024-03-28T01:22:06Z Microwave brightness temperatures observed in Antarctica at 89 GHz from the advanced microwave sounding unit B (AMSU-B) point out an exceptional decrease of 57 K at Dome Fuji ( 77.31°S , 39.70°E ) during the 2019–2020 summer. The grain size index (GSI) based on 89 and 150 GHz from AMSU-B and independent observations at 89 GHz from the advanced microwave scanning radiometer 2 (AMSR-2) also show concurrent unusual values. To explain such event, a theoretical analysis was carried out by means of a radiative transfer model. We explore the sensitivity of brightness temperature to surface snow properties focusing on December, just before the decrease, and April, at its end. Results confirm that this variation is mainly related to an increase in snow grain size. A decrease in snow density is also involved as suggested by the increase in brightness temperature at 1.4 GHz from soil moisture and ocean salinity (SMOS) and in the polarization ratio at 36 GHz from AMSR-2. Extreme values observed at multiple frequencies, as well as peculiar atmospheric conditions explored in a previous study, confirm the uniqueness of this event at least on decennial scale. Article in Journal/Newspaper Antarc* Antarctica Università Ca’ Foscari Venezia: ARCA (Archivio Istituzionale della Ricerca) IEEE Geoscience and Remote Sensing Letters 21 1 5
institution Open Polar
collection Università Ca’ Foscari Venezia: ARCA (Archivio Istituzionale della Ricerca)
op_collection_id ftuniveneziairis
language unknown
topic Settore GEO/11 - Geofisica Applicata
spellingShingle Settore GEO/11 - Geofisica Applicata
Stefanini, Claudio
Macelloni, Giovanni
Leduc-Leballeur, Marion
Picard, Ghislain
Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
topic_facet Settore GEO/11 - Geofisica Applicata
description Microwave brightness temperatures observed in Antarctica at 89 GHz from the advanced microwave sounding unit B (AMSU-B) point out an exceptional decrease of 57 K at Dome Fuji ( 77.31°S , 39.70°E ) during the 2019–2020 summer. The grain size index (GSI) based on 89 and 150 GHz from AMSU-B and independent observations at 89 GHz from the advanced microwave scanning radiometer 2 (AMSR-2) also show concurrent unusual values. To explain such event, a theoretical analysis was carried out by means of a radiative transfer model. We explore the sensitivity of brightness temperature to surface snow properties focusing on December, just before the decrease, and April, at its end. Results confirm that this variation is mainly related to an increase in snow grain size. A decrease in snow density is also involved as suggested by the increase in brightness temperature at 1.4 GHz from soil moisture and ocean salinity (SMOS) and in the polarization ratio at 36 GHz from AMSR-2. Extreme values observed at multiple frequencies, as well as peculiar atmospheric conditions explored in a previous study, confirm the uniqueness of this event at least on decennial scale.
author2 Stefanini, Claudio
Macelloni, Giovanni
Leduc-Leballeur, Marion
Picard, Ghislain
format Article in Journal/Newspaper
author Stefanini, Claudio
Macelloni, Giovanni
Leduc-Leballeur, Marion
Picard, Ghislain
author_facet Stefanini, Claudio
Macelloni, Giovanni
Leduc-Leballeur, Marion
Picard, Ghislain
author_sort Stefanini, Claudio
title Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
title_short Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
title_full Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
title_fullStr Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
title_full_unstemmed Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica
title_sort influence of surface snow properties on an 89-ghz brightness temperature extreme event at dome fuji, antarctica
publishDate 2024
url https://hdl.handle.net/10278/5053021
https://doi.org/10.1109/lgrs.2024.3367111
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation volume:21
firstpage:1
lastpage:5
numberofpages:5
journal:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
https://hdl.handle.net/10278/5053021
doi:10.1109/lgrs.2024.3367111
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85186082568
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1109/lgrs.2024.3367111
container_title IEEE Geoscience and Remote Sensing Letters
container_volume 21
container_start_page 1
op_container_end_page 5
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