A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications

Passive microwave measurements at L-band from ESA’s Soil Moisture and Ocean Salinity (SMOS) mission can be used to retrieve sea ice thickness of up to 0.5–1.0 m. Since 2015, NASA’s Soil Moisture Active Passive (SMAP) mission provides brightness temperatures (TB) at the same frequency. Here, we explo...

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Published in:Remote Sensing
Main Authors: Amelie U. Schmitt, Lars Kaleschke
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10040553
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/4/553/ 2023-08-20T04:09:41+02:00 A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications Amelie U. Schmitt Lars Kaleschke agris 2018-04-04 application/pdf https://doi.org/10.3390/rs10040553 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs10040553 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 4; Pages: 553 SMAP SMOS L-band brightness temperature sea ice thickness Text 2018 ftmdpi https://doi.org/10.3390/rs10040553 2023-07-31T21:27:35Z Passive microwave measurements at L-band from ESA’s Soil Moisture and Ocean Salinity (SMOS) mission can be used to retrieve sea ice thickness of up to 0.5–1.0 m. Since 2015, NASA’s Soil Moisture Active Passive (SMAP) mission provides brightness temperatures (TB) at the same frequency. Here, we explore the possibility of combining SMOS and SMAP TBs for sea ice thickness retrieval. First, we compare daily TBs over polar ocean and sea ice regions. For this purpose, the multi-angular SMOS measurements have to be fitted to the SMAP incidence angle of 40 ∘ . Using a synthetical dataset for testing, we evaluate the performance of different fitting methods. We find that a two-step regression fitting method performs best, yielding a high accuracy even for a small number of measurements of only 15. Generally, SMOS and SMAP TBs agree very well with correlations exceeding 0.99 over sea ice but show an intensity bias of about 2.7 K over both ocean and sea ice regions. This bias can be adjusted using a linear fit resulting in a very good agreement of the retrieved sea ice thicknesses. The main advantages of a combined product are the increased number of daily overpasses leading to an improved data coverage also towards lower latitudes, as well as a continuation of retrieved timeseries if one of the sensors stops delivering data. Text Sea ice MDPI Open Access Publishing Remote Sensing 10 4 553
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic SMAP
SMOS
L-band
brightness temperature
sea ice thickness
spellingShingle SMAP
SMOS
L-band
brightness temperature
sea ice thickness
Amelie U. Schmitt
Lars Kaleschke
A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
topic_facet SMAP
SMOS
L-band
brightness temperature
sea ice thickness
description Passive microwave measurements at L-band from ESA’s Soil Moisture and Ocean Salinity (SMOS) mission can be used to retrieve sea ice thickness of up to 0.5–1.0 m. Since 2015, NASA’s Soil Moisture Active Passive (SMAP) mission provides brightness temperatures (TB) at the same frequency. Here, we explore the possibility of combining SMOS and SMAP TBs for sea ice thickness retrieval. First, we compare daily TBs over polar ocean and sea ice regions. For this purpose, the multi-angular SMOS measurements have to be fitted to the SMAP incidence angle of 40 ∘ . Using a synthetical dataset for testing, we evaluate the performance of different fitting methods. We find that a two-step regression fitting method performs best, yielding a high accuracy even for a small number of measurements of only 15. Generally, SMOS and SMAP TBs agree very well with correlations exceeding 0.99 over sea ice but show an intensity bias of about 2.7 K over both ocean and sea ice regions. This bias can be adjusted using a linear fit resulting in a very good agreement of the retrieved sea ice thicknesses. The main advantages of a combined product are the increased number of daily overpasses leading to an improved data coverage also towards lower latitudes, as well as a continuation of retrieved timeseries if one of the sensors stops delivering data.
format Text
author Amelie U. Schmitt
Lars Kaleschke
author_facet Amelie U. Schmitt
Lars Kaleschke
author_sort Amelie U. Schmitt
title A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
title_short A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
title_full A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
title_fullStr A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
title_full_unstemmed A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications
title_sort consistent combination of brightness temperatures from smos and smap over polar oceans for sea ice applications
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10040553
op_coverage agris
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing; Volume 10; Issue 4; Pages: 553
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs10040553
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10040553
container_title Remote Sensing
container_volume 10
container_issue 4
container_start_page 553
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