Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology
Accurate knowledge of the sea ice parameters, including the thickness and the snow depth over sea ice, are key to both climate change studies and operational forecast in polar regions. The estimation of these parameters mainly relies on satellite based remote sensing, and current retrieval algorithm...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2017
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs9101079 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/9/10/1079/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/9/10/1079/ 2023-08-20T04:09:42+02:00 Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology Shiming Xu Lu Zhou Jiping Liu Hui Lu Bin Wang agris 2017-10-23 application/pdf https://doi.org/10.3390/rs9101079 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs9101079 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 9; Issue 10; Pages: 1079 sea ice passive microwave remote sensing altimetry brightness temperature retrieval Text 2017 ftmdpi https://doi.org/10.3390/rs9101079 2023-07-31T21:15:37Z Accurate knowledge of the sea ice parameters, including the thickness and the snow depth over sea ice, are key to both climate change studies and operational forecast in polar regions. The estimation of these parameters mainly relies on satellite based remote sensing, and current retrieval algorithms usually focus on the retrieval of a single parameter under simple assumptions over the other. In this article, we explore the potential of combined retrieval of both sea ice thickness and snow depth through the data synergy two types of concurrent observations of the sea ice cover: the active altimetry and the L-band passive remote sensing. The data synergy is based on two physical constrains: (1) L-band (1.4 GHz) radiation model for the sea ice cover, and (2) the hydrostatic equilibrium as used in satellite altimetry. Two schemes of data synergy are proposed: (1) the synergy between L-band brightness temperature ( T B ) from passive microwave remote sensing and sea ice freeboard ( F B i c e ) as measured by radar altimetry, and (2) the synergy between L-band T B and snow freeboard ( F B s n o w ) as measured by laser altimetry. Based on retrievability studies, we show that both parameters can be retrieved using the two sets of data. Specifically, we show that there is potential problem of ill-posedness for the synergy between L-band T B and F B s n o w , with two possible retrieval solutions for a small portion of the solution space. On the other hand, the synergy between L-band T B and F B i c e is always well-posed. In terms of sensitivity, lower uncertainty is witnessed for thin ice for the retrieval with F B i c e , while the retrieval with F B s n o w shows advantage for thick ice. Besides the input parameters of T B , F B i c e and F B s n o w , the uncertainty associated with certain model parameters such as snow and ice densities is not negligible for the uncertainty estimation of the retrieved parameters. Verification is carried out with observational data from Operation IceBridge (OIB) campaigns and SMOS ... Text Sea ice MDPI Open Access Publishing Remote Sensing 9 10 1079 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea ice passive microwave remote sensing altimetry brightness temperature retrieval |
spellingShingle |
sea ice passive microwave remote sensing altimetry brightness temperature retrieval Shiming Xu Lu Zhou Jiping Liu Hui Lu Bin Wang Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
topic_facet |
sea ice passive microwave remote sensing altimetry brightness temperature retrieval |
description |
Accurate knowledge of the sea ice parameters, including the thickness and the snow depth over sea ice, are key to both climate change studies and operational forecast in polar regions. The estimation of these parameters mainly relies on satellite based remote sensing, and current retrieval algorithms usually focus on the retrieval of a single parameter under simple assumptions over the other. In this article, we explore the potential of combined retrieval of both sea ice thickness and snow depth through the data synergy two types of concurrent observations of the sea ice cover: the active altimetry and the L-band passive remote sensing. The data synergy is based on two physical constrains: (1) L-band (1.4 GHz) radiation model for the sea ice cover, and (2) the hydrostatic equilibrium as used in satellite altimetry. Two schemes of data synergy are proposed: (1) the synergy between L-band brightness temperature ( T B ) from passive microwave remote sensing and sea ice freeboard ( F B i c e ) as measured by radar altimetry, and (2) the synergy between L-band T B and snow freeboard ( F B s n o w ) as measured by laser altimetry. Based on retrievability studies, we show that both parameters can be retrieved using the two sets of data. Specifically, we show that there is potential problem of ill-posedness for the synergy between L-band T B and F B s n o w , with two possible retrieval solutions for a small portion of the solution space. On the other hand, the synergy between L-band T B and F B i c e is always well-posed. In terms of sensitivity, lower uncertainty is witnessed for thin ice for the retrieval with F B i c e , while the retrieval with F B s n o w shows advantage for thick ice. Besides the input parameters of T B , F B i c e and F B s n o w , the uncertainty associated with certain model parameters such as snow and ice densities is not negligible for the uncertainty estimation of the retrieved parameters. Verification is carried out with observational data from Operation IceBridge (OIB) campaigns and SMOS ... |
format |
Text |
author |
Shiming Xu Lu Zhou Jiping Liu Hui Lu Bin Wang |
author_facet |
Shiming Xu Lu Zhou Jiping Liu Hui Lu Bin Wang |
author_sort |
Shiming Xu |
title |
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
title_short |
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
title_full |
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
title_fullStr |
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
title_full_unstemmed |
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology |
title_sort |
data synergy between altimetry and l-band passive microwave remote sensing for the retrieval of sea ice parameters—a theoretical study of methodology |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9101079 |
op_coverage |
agris |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing; Volume 9; Issue 10; Pages: 1079 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs9101079 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs9101079 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
10 |
container_start_page |
1079 |
_version_ |
1774723327548456960 |