Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers

The timing and intensity of snowmelt processes on sea ice are key drivers determining the seasonal sea-ice energy and mass budgets. In the Arctic, satellite passive microwave and radar observations have revealed a trend towards an earlier snowmelt onset during the last decades, which is an important...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: S. Arndt, C. Haas
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-13-1943-2019
https://www.the-cryosphere.net/13/1943/2019/tc-13-1943-2019.pdf
https://doaj.org/article/869a2a384df64732b5b285061f097e4b
id fttriple:oai:gotriple.eu:oai:doaj.org/article:869a2a384df64732b5b285061f097e4b
record_format openpolar
spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:869a2a384df64732b5b285061f097e4b 2023-05-15T13:43:58+02:00 Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt C. Haas 2019-07-01 https://doi.org/10.5194/tc-13-1943-2019 https://www.the-cryosphere.net/13/1943/2019/tc-13-1943-2019.pdf https://doaj.org/article/869a2a384df64732b5b285061f097e4b en eng Copernicus Publications doi:10.5194/tc-13-1943-2019 1994-0416 1994-0424 https://www.the-cryosphere.net/13/1943/2019/tc-13-1943-2019.pdf https://doaj.org/article/869a2a384df64732b5b285061f097e4b undefined The Cryosphere, Vol 13, Pp 1943-1958 (2019) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2019 fttriple https://doi.org/10.5194/tc-13-1943-2019 2023-01-22T18:58:51Z The timing and intensity of snowmelt processes on sea ice are key drivers determining the seasonal sea-ice energy and mass budgets. In the Arctic, satellite passive microwave and radar observations have revealed a trend towards an earlier snowmelt onset during the last decades, which is an important aspect of Arctic amplification and sea-ice decline. Around Antarctica, snowmelt on perennial ice is weak and very different than in the Arctic, with most snow surviving the summer. Here we compile time series of snowmelt onset dates on seasonal and perennial Antarctic sea ice from 1992 to 2014/15 using active microwave observations from the European Space Agency's (ESA) European Remote Sensing (ERS) 1 and 2 missions (ERS-1 and ERS-2), Quick Scatterometer (QSCAT), and Advanced Scatterometer (ASCAT) radar scatterometers. We define two snowmelt transition stages: a weak backscatter rise, indicating the initial warming and destructive metamorphism of the snowpack (pre-melt), followed by a rapid backscatter rise, indicating the onset of thaw–freeze cycles (snowmelt). Results show large interannual variability, with an average pre-melt onset date of 29 November and melt onset of 10 December, respectively, on perennial ice, without any significant trends over the study period, consistent with the small trends of Antarctic sea-ice extent. There was a latitudinal gradient from early snowmelt onsets in mid-November in the northern Weddell Sea to late (end of December) or even absent snowmelt conditions in the southern Weddell Sea. We show that QSCAT Ku-band-derived (13.4 GHz signal frequency) pre-melt and snowmelt onset dates are earlier by 20 and 18 d, respectively, than ERS and ASCAT C-band-derived (5.6 GHz) dates. This offset has been considered when constructing the time series. Snowmelt onset dates from passive microwave observations (37 GHz) are later by 14 and 6 d than those from the scatterometers, respectively. Based on these characteristic differences between melt onset dates observed by different microwave ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Arctic Sea ice The Cryosphere Weddell Sea Unknown Antarctic Arctic Weddell Weddell Sea The Cryosphere 13 7 1943 1958
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
S. Arndt
C. Haas
Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
topic_facet geo
envir
description The timing and intensity of snowmelt processes on sea ice are key drivers determining the seasonal sea-ice energy and mass budgets. In the Arctic, satellite passive microwave and radar observations have revealed a trend towards an earlier snowmelt onset during the last decades, which is an important aspect of Arctic amplification and sea-ice decline. Around Antarctica, snowmelt on perennial ice is weak and very different than in the Arctic, with most snow surviving the summer. Here we compile time series of snowmelt onset dates on seasonal and perennial Antarctic sea ice from 1992 to 2014/15 using active microwave observations from the European Space Agency's (ESA) European Remote Sensing (ERS) 1 and 2 missions (ERS-1 and ERS-2), Quick Scatterometer (QSCAT), and Advanced Scatterometer (ASCAT) radar scatterometers. We define two snowmelt transition stages: a weak backscatter rise, indicating the initial warming and destructive metamorphism of the snowpack (pre-melt), followed by a rapid backscatter rise, indicating the onset of thaw–freeze cycles (snowmelt). Results show large interannual variability, with an average pre-melt onset date of 29 November and melt onset of 10 December, respectively, on perennial ice, without any significant trends over the study period, consistent with the small trends of Antarctic sea-ice extent. There was a latitudinal gradient from early snowmelt onsets in mid-November in the northern Weddell Sea to late (end of December) or even absent snowmelt conditions in the southern Weddell Sea. We show that QSCAT Ku-band-derived (13.4 GHz signal frequency) pre-melt and snowmelt onset dates are earlier by 20 and 18 d, respectively, than ERS and ASCAT C-band-derived (5.6 GHz) dates. This offset has been considered when constructing the time series. Snowmelt onset dates from passive microwave observations (37 GHz) are later by 14 and 6 d than those from the scatterometers, respectively. Based on these characteristic differences between melt onset dates observed by different microwave ...
format Article in Journal/Newspaper
author S. Arndt
C. Haas
author_facet S. Arndt
C. Haas
author_sort S. Arndt
title Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
title_short Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
title_full Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
title_fullStr Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
title_full_unstemmed Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
title_sort spatiotemporal variability and decadal trends of snowmelt processes on antarctic sea ice observed by satellite scatterometers
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/tc-13-1943-2019
https://www.the-cryosphere.net/13/1943/2019/tc-13-1943-2019.pdf
https://doaj.org/article/869a2a384df64732b5b285061f097e4b
geographic Antarctic
Arctic
Weddell
Weddell Sea
geographic_facet Antarctic
Arctic
Weddell
Weddell Sea
genre Antarc*
Antarctic
Antarctica
Arctic
Sea ice
The Cryosphere
Weddell Sea
genre_facet Antarc*
Antarctic
Antarctica
Arctic
Sea ice
The Cryosphere
Weddell Sea
op_source The Cryosphere, Vol 13, Pp 1943-1958 (2019)
op_relation doi:10.5194/tc-13-1943-2019
1994-0416
1994-0424
https://www.the-cryosphere.net/13/1943/2019/tc-13-1943-2019.pdf
https://doaj.org/article/869a2a384df64732b5b285061f097e4b
op_rights undefined
op_doi https://doi.org/10.5194/tc-13-1943-2019
container_title The Cryosphere
container_volume 13
container_issue 7
container_start_page 1943
op_container_end_page 1958
_version_ 1766195543546003456