Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission
<p>Across spatial and temporal scales, sea-ice motion has implications for ship navigation, the sea-ice thickness distribution, sea-ice export to lower latitudes and re-circulation in the polar seas, among others. Satellite remote sensing is an effective way to monitor sea-ice drift globally a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2021-08-01
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Series: | The Cryosphere |
Online Access: | https://tc.copernicus.org/articles/15/3681/2021/tc-15-3681-2021.pdf |
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author | T. Lavergne M. Piñol Solé E. Down C. Donlon |
author_facet | T. Lavergne M. Piñol Solé E. Down C. Donlon |
author_sort | T. Lavergne |
collection | DOAJ |
description | <p>Across spatial and temporal scales, sea-ice motion has implications for ship
navigation, the sea-ice thickness distribution, sea-ice export to lower
latitudes and re-circulation in the polar seas, among others. Satellite
remote sensing is an effective way to monitor sea-ice drift globally and
daily, especially using the wide swaths of passive microwave missions. Since
the late 1990s, many algorithms and products have been developed for this
task. Here, we investigate how processing sea-ice drift vectors from the
intersection of individual swaths of the Advanced Microwave Scanning
Radiometer 2 (AMSR2) mission compares to today's status quo (processing from
daily averaged maps of brightness temperature). We document that the
“swath-to-swath” (S2S) approach results in many more (2 orders of
magnitude) sea-ice drift vectors than the “daily map” (DM) approach.
These S2S vectors also validate better when compared to trajectories of
on-ice drifters. For example, the RMSE of the 24 h winter Arctic sea-ice
drift is 0.9 km for S2S vectors and 1.3 km for DM vectors from the 36.5 GHz
imagery of AMSR2. Through a series of experiments with actual AMSR2 data and
simulated Copernicus Imaging Microwave Radiometer (CIMR) data, we study the
impact that geolocation uncertainty and imaging resolution have on the
accuracy of the sea-ice drift vectors. We conclude by recommending that a
swath-to-swath approach is adopted for the future operational Level-2
sea-ice drift product of the CIMR mission. We outline some potential next
steps towards further improving the algorithms and making the user
community ready to fully take advantage of such a product.</p> |
first_indexed | 2024-12-22T09:06:22Z |
format | Article |
id | doaj.art-701c9b31dc764546bdd04e03f9506fd7 |
institution | Directory Open Access Journal |
issn | 1994-0416 1994-0424 |
language | English |
last_indexed | 2024-12-22T09:06:22Z |
publishDate | 2021-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The Cryosphere |
spelling | doaj.art-701c9b31dc764546bdd04e03f9506fd72022-12-21T18:31:34ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242021-08-01153681369810.5194/tc-15-3681-2021Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer missionT. Lavergne0M. Piñol Solé1E. Down2C. Donlon3Research and Development Department, Norwegian Meteorological Institute, Oslo, NorwayEuropean Space Agency, Keplerlaan 1, 2201AZ Noordwijk, the NetherlandsResearch and Development Department, Norwegian Meteorological Institute, Oslo, NorwayEuropean Space Agency, Keplerlaan 1, 2201AZ Noordwijk, the Netherlands<p>Across spatial and temporal scales, sea-ice motion has implications for ship navigation, the sea-ice thickness distribution, sea-ice export to lower latitudes and re-circulation in the polar seas, among others. Satellite remote sensing is an effective way to monitor sea-ice drift globally and daily, especially using the wide swaths of passive microwave missions. Since the late 1990s, many algorithms and products have been developed for this task. Here, we investigate how processing sea-ice drift vectors from the intersection of individual swaths of the Advanced Microwave Scanning Radiometer 2 (AMSR2) mission compares to today's status quo (processing from daily averaged maps of brightness temperature). We document that the “swath-to-swath” (S2S) approach results in many more (2 orders of magnitude) sea-ice drift vectors than the “daily map” (DM) approach. These S2S vectors also validate better when compared to trajectories of on-ice drifters. For example, the RMSE of the 24 h winter Arctic sea-ice drift is 0.9 km for S2S vectors and 1.3 km for DM vectors from the 36.5 GHz imagery of AMSR2. Through a series of experiments with actual AMSR2 data and simulated Copernicus Imaging Microwave Radiometer (CIMR) data, we study the impact that geolocation uncertainty and imaging resolution have on the accuracy of the sea-ice drift vectors. We conclude by recommending that a swath-to-swath approach is adopted for the future operational Level-2 sea-ice drift product of the CIMR mission. We outline some potential next steps towards further improving the algorithms and making the user community ready to fully take advantage of such a product.</p>https://tc.copernicus.org/articles/15/3681/2021/tc-15-3681-2021.pdf |
spellingShingle | T. Lavergne M. Piñol Solé E. Down C. Donlon Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission The Cryosphere |
title | Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission |
title_full | Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission |
title_fullStr | Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission |
title_full_unstemmed | Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission |
title_short | Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission |
title_sort | towards a swath to swath sea ice drift product for the copernicus imaging microwave radiometer mission |
url | https://tc.copernicus.org/articles/15/3681/2021/tc-15-3681-2021.pdf |
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