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 properties are 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 id...

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Main Authors: Bartsch, Annett, Bergstedt, Helena, Pointner, Georg, Muri, Xaver, Rautiainen, Kimmo
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.7575926
https://zenodo.org/doi/10.5281/zenodo.7575926
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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 DataCite
description Rain-on-Snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snow pack properties are 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 have data gaps due to radio frequency interferences (RFI) what leads to gaps in the event detection. The dataset is structured by centre 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 ... : 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. ...
format Dataset
genre Arctic
Ice
permafrost
genre_facet Arctic
Ice
permafrost
geographic Arctic
geographic_facet Arctic
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op_doi https://doi.org/10.5281/zenodo.757592610.5194/tc-17-889-202310.5281/zenodo.7575927
op_relation https://dx.doi.org/10.5194/tc-17-889-2023
https://dx.doi.org/10.5281/zenodo.7575927
op_rights Creative Commons Attribution 4.0 International
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spelling ftdatacite:10.5281/zenodo.7575926 2025-01-16T20:29:02+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 https://dx.doi.org/10.5281/zenodo.7575926 https://zenodo.org/doi/10.5281/zenodo.7575926 en eng Zenodo https://dx.doi.org/10.5194/tc-17-889-2023 https://dx.doi.org/10.5281/zenodo.7575927 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 rain-on-snow Arctic microwave remote sensing snow Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.757592610.5194/tc-17-889-202310.5281/zenodo.7575927 2023-11-03T10:51:16Z Rain-on-Snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snow pack properties are 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 have data gaps due to radio frequency interferences (RFI) what leads to gaps in the event detection. The dataset is structured by centre 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 ... : 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. ... Dataset Arctic Ice permafrost DataCite 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://dx.doi.org/10.5281/zenodo.7575926
https://zenodo.org/doi/10.5281/zenodo.7575926