Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S⌃3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar...
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ftdoajarticles:oai:doaj.org/article:65d84cd81806475895c86f68d04101f2 2023-05-15T13:15:42+02:00 Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment Joan Francesc Munoz-Martin Adrian Perez Adriano Camps Serni Ribó Estel Cardellach Julienne Stroeve Vishnu Nandan Polona Itkin Rasmus Tonboe Stefan Hendricks Marcus Huntemann Gunnar Spreen Massimiliano Pastena 2020-12-01T00:00:00Z https://doi.org/10.3390/rs12244038 https://doaj.org/article/65d84cd81806475895c86f68d04101f2 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/24/4038 https://doaj.org/toc/2072-4292 doi:10.3390/rs12244038 2072-4292 https://doaj.org/article/65d84cd81806475895c86f68d04101f2 Remote Sensing, Vol 12, Iss 4038, p 4038 (2020) GNSS-R sea-ice arctic snow Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12244038 2022-12-31T15:16:36Z The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S⌃3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data. Article in Journal/Newspaper Alfred Wegener Institute Arctic Arctic Ocean Climate change Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Remote Sensing 12 24 4038 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
GNSS-R sea-ice arctic snow Science Q |
spellingShingle |
GNSS-R sea-ice arctic snow Science Q Joan Francesc Munoz-Martin Adrian Perez Adriano Camps Serni Ribó Estel Cardellach Julienne Stroeve Vishnu Nandan Polona Itkin Rasmus Tonboe Stefan Hendricks Marcus Huntemann Gunnar Spreen Massimiliano Pastena Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
topic_facet |
GNSS-R sea-ice arctic snow Science Q |
description |
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S⌃3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data. |
format |
Article in Journal/Newspaper |
author |
Joan Francesc Munoz-Martin Adrian Perez Adriano Camps Serni Ribó Estel Cardellach Julienne Stroeve Vishnu Nandan Polona Itkin Rasmus Tonboe Stefan Hendricks Marcus Huntemann Gunnar Spreen Massimiliano Pastena |
author_facet |
Joan Francesc Munoz-Martin Adrian Perez Adriano Camps Serni Ribó Estel Cardellach Julienne Stroeve Vishnu Nandan Polona Itkin Rasmus Tonboe Stefan Hendricks Marcus Huntemann Gunnar Spreen Massimiliano Pastena |
author_sort |
Joan Francesc Munoz-Martin |
title |
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
title_short |
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
title_full |
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
title_fullStr |
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
title_full_unstemmed |
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment |
title_sort |
snow and ice thickness retrievals using gnss-r: preliminary results of the mosaic experiment |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12244038 https://doaj.org/article/65d84cd81806475895c86f68d04101f2 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Alfred Wegener Institute Arctic Arctic Ocean Climate change Sea ice |
genre_facet |
Alfred Wegener Institute Arctic Arctic Ocean Climate change Sea ice |
op_source |
Remote Sensing, Vol 12, Iss 4038, p 4038 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/24/4038 https://doaj.org/toc/2072-4292 doi:10.3390/rs12244038 2072-4292 https://doaj.org/article/65d84cd81806475895c86f68d04101f2 |
op_doi |
https://doi.org/10.3390/rs12244038 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
24 |
container_start_page |
4038 |
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1766270587663024128 |