Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data
Mapping sea ice concentration (SIC) and understanding sea ice properties and variability is important, especially today with the recent Arctic sea ice decline. Moreover, accurate estimation of the sea ice effective temperature (Teff) at 50 GHz is needed for atmospheric sounding applications over sea...
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Online Access: | https://doi.org/10.5194/tc-13-1283-2019 https://www.the-cryosphere.net/13/1283/2019/tc-13-1283-2019.pdf https://doaj.org/article/30704901f51c418cadd8ef762b739460 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:30704901f51c418cadd8ef762b739460 2023-05-15T14:53:10+02:00 Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data L. Kilic R. T. Tonboe C. Prigent G. Heygster 2019-04-01 https://doi.org/10.5194/tc-13-1283-2019 https://www.the-cryosphere.net/13/1283/2019/tc-13-1283-2019.pdf https://doaj.org/article/30704901f51c418cadd8ef762b739460 en eng Copernicus Publications doi:10.5194/tc-13-1283-2019 1994-0416 1994-0424 https://www.the-cryosphere.net/13/1283/2019/tc-13-1283-2019.pdf https://doaj.org/article/30704901f51c418cadd8ef762b739460 undefined The Cryosphere, Vol 13, Pp 1283-1296 (2019) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2019 fttriple https://doi.org/10.5194/tc-13-1283-2019 2023-01-22T19:39:10Z Mapping sea ice concentration (SIC) and understanding sea ice properties and variability is important, especially today with the recent Arctic sea ice decline. Moreover, accurate estimation of the sea ice effective temperature (Teff) at 50 GHz is needed for atmospheric sounding applications over sea ice and for noise reduction in SIC estimates. At low microwave frequencies, the sensitivity to the atmosphere is low, and it is possible to derive sea ice parameters due to the penetration of microwaves in the snow and ice layers. In this study, we propose simple algorithms to derive the snow depth, the snow–ice interface temperature (TSnow−Ice) and the Teff of Arctic sea ice from microwave brightness temperatures (TBs). This is achieved using the Round Robin Data Package of the ESA sea ice CCI project, which contains TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) collocated with measurements from ice mass balance buoys (IMBs) and the NASA Operation Ice Bridge (OIB) airborne campaigns over the Arctic sea ice. The snow depth over sea ice is estimated with an error of 5.1 cm, using a multilinear regression with the TBs at 6, 18, and 36 V. The TSnow−Ice is retrieved using a linear regression as a function of the snow depth and the TBs at 10 or 6 V. The root mean square errors (RMSEs) obtained are 2.87 and 2.90 K respectively, with 10 and 6 V TBs. The Teff at microwave frequencies between 6 and 89 GHz is expressed as a function of TSnow−Ice using data from a thermodynamical model combined with the Microwave Emission Model of Layered Snowpacks. Teff is estimated from the TSnow−Ice with a RMSE of less than 1 K. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Unknown Arctic The Cryosphere 13 4 1283 1296 |
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English |
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geo envir L. Kilic R. T. Tonboe C. Prigent G. Heygster Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
topic_facet |
geo envir |
description |
Mapping sea ice concentration (SIC) and understanding sea ice properties and variability is important, especially today with the recent Arctic sea ice decline. Moreover, accurate estimation of the sea ice effective temperature (Teff) at 50 GHz is needed for atmospheric sounding applications over sea ice and for noise reduction in SIC estimates. At low microwave frequencies, the sensitivity to the atmosphere is low, and it is possible to derive sea ice parameters due to the penetration of microwaves in the snow and ice layers. In this study, we propose simple algorithms to derive the snow depth, the snow–ice interface temperature (TSnow−Ice) and the Teff of Arctic sea ice from microwave brightness temperatures (TBs). This is achieved using the Round Robin Data Package of the ESA sea ice CCI project, which contains TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) collocated with measurements from ice mass balance buoys (IMBs) and the NASA Operation Ice Bridge (OIB) airborne campaigns over the Arctic sea ice. The snow depth over sea ice is estimated with an error of 5.1 cm, using a multilinear regression with the TBs at 6, 18, and 36 V. The TSnow−Ice is retrieved using a linear regression as a function of the snow depth and the TBs at 10 or 6 V. The root mean square errors (RMSEs) obtained are 2.87 and 2.90 K respectively, with 10 and 6 V TBs. The Teff at microwave frequencies between 6 and 89 GHz is expressed as a function of TSnow−Ice using data from a thermodynamical model combined with the Microwave Emission Model of Layered Snowpacks. Teff is estimated from the TSnow−Ice with a RMSE of less than 1 K. |
format |
Article in Journal/Newspaper |
author |
L. Kilic R. T. Tonboe C. Prigent G. Heygster |
author_facet |
L. Kilic R. T. Tonboe C. Prigent G. Heygster |
author_sort |
L. Kilic |
title |
Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
title_short |
Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
title_full |
Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
title_fullStr |
Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
title_full_unstemmed |
Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data |
title_sort |
estimating the snow depth, the snow–ice interface temperature, and the effective temperature of arctic sea ice using advanced microwave scanning radiometer 2 and ice mass balance buoy data |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/tc-13-1283-2019 https://www.the-cryosphere.net/13/1283/2019/tc-13-1283-2019.pdf https://doaj.org/article/30704901f51c418cadd8ef762b739460 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 13, Pp 1283-1296 (2019) |
op_relation |
doi:10.5194/tc-13-1283-2019 1994-0416 1994-0424 https://www.the-cryosphere.net/13/1283/2019/tc-13-1283-2019.pdf https://doaj.org/article/30704901f51c418cadd8ef762b739460 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-13-1283-2019 |
container_title |
The Cryosphere |
container_volume |
13 |
container_issue |
4 |
container_start_page |
1283 |
op_container_end_page |
1296 |
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