Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022

Rain-on-Snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snow pack propertiesare changing and in extreme cases ice layers form which affect wildlife, vegetation and soils beyond the duration of the event. Active and passive microwave data have been combined to ide...

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Main Authors: Bartsch, Annett, Bergstedt, Helena, Pointner, Georg, Muri, Xaver, Rautiainen, Kimmo
Format: Other/Unknown Material
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7575927
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author Bartsch, Annett
Bergstedt, Helena
Pointner, Georg
Muri, Xaver
Rautiainen, Kimmo
author_facet Bartsch, Annett
Bergstedt, Helena
Pointner, Georg
Muri, Xaver
Rautiainen, Kimmo
author_sort Bartsch, Annett
collection Zenodo
description Rain-on-Snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snow pack propertiesare changing and in extreme cases ice layers form which affect wildlife, vegetation and soils beyond the duration of the event. Active and passive microwave data have been combined to identify events over land North of 65°N (Bartsch et al. 2023). In a first step Metop ASCAT (C-Band radar) was used to identify potential sudden snow structure change. In a second step, results have been masked for coincident observation of wet snow within +- 3 days based on SMOS (derived from Centre Aval de Traitement des Données SMOS (CATDS) level 3 product). Note that the SMOS retrievals can havedata gaps due toradio frequency interferences(RFI) what leads to gaps in the event detection. The dataset is structured bycentre points of the hexagonal grid of the used Metop ASCAT product (EUMETSAT, approximately 12.5 km nominal resolution). Attributes include point ID (GPI), latitude, longitude and aggregated number of events for the months November to February, 2011/12 to 2021/22, and theirsum per winter (referred to as annual), or in case of daily results (date in file name)the magnitude of ASCAT backscatter change in dB (DSigma0; no data value is '0.0'). The dataset extents Seawinds QuikScat (Ku-band) based results for 2000-2009 (Bartsch 2010, Freund and Bartsch 2020). The study has received funding under the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 869471 (CHARTER). This work was further supported by the European Space Agency CCI+ Permafrost project.
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genre Arctic
Ice
permafrost
genre_facet Arctic
Ice
permafrost
geographic Arctic
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spelling ftzenodo:oai:zenodo.org:7575927 2025-01-16T20:32:29+00:00 Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022 Bartsch, Annett Bergstedt, Helena Pointner, Georg Muri, Xaver Rautiainen, Kimmo 2023-01-27 https://doi.org/10.5281/zenodo.7575927 eng eng Zenodo https://doi.org/10.5194/tc-17-889-2023 https://zenodo.org/communities/charter https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7575926 https://doi.org/10.5281/zenodo.7575927 oai:zenodo.org:7575927 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode rain-on-snow Arctic microwave remote sensing snow info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.757592710.5194/tc-17-889-202310.5281/zenodo.7575926 2024-12-05T22:56:48Z Rain-on-Snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snow pack propertiesare changing and in extreme cases ice layers form which affect wildlife, vegetation and soils beyond the duration of the event. Active and passive microwave data have been combined to identify events over land North of 65°N (Bartsch et al. 2023). In a first step Metop ASCAT (C-Band radar) was used to identify potential sudden snow structure change. In a second step, results have been masked for coincident observation of wet snow within +- 3 days based on SMOS (derived from Centre Aval de Traitement des Données SMOS (CATDS) level 3 product). Note that the SMOS retrievals can havedata gaps due toradio frequency interferences(RFI) what leads to gaps in the event detection. The dataset is structured bycentre points of the hexagonal grid of the used Metop ASCAT product (EUMETSAT, approximately 12.5 km nominal resolution). Attributes include point ID (GPI), latitude, longitude and aggregated number of events for the months November to February, 2011/12 to 2021/22, and theirsum per winter (referred to as annual), or in case of daily results (date in file name)the magnitude of ASCAT backscatter change in dB (DSigma0; no data value is '0.0'). The dataset extents Seawinds QuikScat (Ku-band) based results for 2000-2009 (Bartsch 2010, Freund and Bartsch 2020). The study has received funding under the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 869471 (CHARTER). This work was further supported by the European Space Agency CCI+ Permafrost project. Other/Unknown Material Arctic Ice permafrost Zenodo Arctic
spellingShingle rain-on-snow
Arctic
microwave
remote sensing
snow
Bartsch, Annett
Bergstedt, Helena
Pointner, Georg
Muri, Xaver
Rautiainen, Kimmo
Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title_full Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title_fullStr Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title_full_unstemmed Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title_short Circumpolar mid-winter thaw and refreeze based on fusion of Metop ASCAT and SMOS, 2011/2012 - 2021/2022
title_sort circumpolar mid-winter thaw and refreeze based on fusion of metop ascat and smos, 2011/2012 - 2021/2022
topic rain-on-snow
Arctic
microwave
remote sensing
snow
topic_facet rain-on-snow
Arctic
microwave
remote sensing
snow
url https://doi.org/10.5281/zenodo.7575927