Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ...
Abstract Knowledge of winter sea ice production in Arctic polynyas is an important prerequisite for estimating the dense water formation that drives vertical mixing in the upper ocean. Satellite techniques using relatively high-resolution thermal infrared data from MODIS in combination with atmosphe...
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Online Access: | https://dx.doi.org/10.5281/zenodo.10671566 https://zenodo.org/doi/10.5281/zenodo.10671566 |
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ftdatacite:10.5281/zenodo.10671566 2024-03-31T07:50:17+00:00 Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... Preußer, Andreas Heinemann, Günther Schefczyk, Lukas Willmes, Sascha 2023 https://dx.doi.org/10.5281/zenodo.10671566 https://zenodo.org/doi/10.5281/zenodo.10671566 unknown Zenodo https://dx.doi.org/10.3390/rs14092036 https://dx.doi.org/10.5281/zenodo.10671567 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic Ocean Polynya MODIS Remote Sensing Sea ice Poster article-journal Text ScholarlyArticle 2023 ftdatacite https://doi.org/10.5281/zenodo.1067156610.3390/rs1409203610.5281/zenodo.10671567 2024-03-04T13:29:05Z Abstract Knowledge of winter sea ice production in Arctic polynyas is an important prerequisite for estimating the dense water formation that drives vertical mixing in the upper ocean. Satellite techniques using relatively high-resolution thermal infrared data from MODIS in combination with atmospheric reanalysis data have proved to be a powerful tool for monitoring large and regularly forming polynyas and for resolving narrow thin ice areas (i.e. leads) along shelf breaks and across the Arctic Ocean. However, the selection of atmospheric data sets has a strong influence on the derived polynya characteristics, as it affects the calculation of heat loss to the atmosphere, which is determined by the local thin-ice thickness. To overcome this methodological ambiguity, we present a temperature adjustment algorithm that provides corrections to the 2&thinspl;m air temperature through MODIS ice surface temperatures. It thus reduces the differences in calculated surface heat fluxes that can result from the use ... Text Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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topic |
Arctic Ocean Polynya MODIS Remote Sensing Sea ice |
spellingShingle |
Arctic Ocean Polynya MODIS Remote Sensing Sea ice Preußer, Andreas Heinemann, Günther Schefczyk, Lukas Willmes, Sascha Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
topic_facet |
Arctic Ocean Polynya MODIS Remote Sensing Sea ice |
description |
Abstract Knowledge of winter sea ice production in Arctic polynyas is an important prerequisite for estimating the dense water formation that drives vertical mixing in the upper ocean. Satellite techniques using relatively high-resolution thermal infrared data from MODIS in combination with atmospheric reanalysis data have proved to be a powerful tool for monitoring large and regularly forming polynyas and for resolving narrow thin ice areas (i.e. leads) along shelf breaks and across the Arctic Ocean. However, the selection of atmospheric data sets has a strong influence on the derived polynya characteristics, as it affects the calculation of heat loss to the atmosphere, which is determined by the local thin-ice thickness. To overcome this methodological ambiguity, we present a temperature adjustment algorithm that provides corrections to the 2&thinspl;m air temperature through MODIS ice surface temperatures. It thus reduces the differences in calculated surface heat fluxes that can result from the use ... |
format |
Text |
author |
Preußer, Andreas Heinemann, Günther Schefczyk, Lukas Willmes, Sascha |
author_facet |
Preußer, Andreas Heinemann, Günther Schefczyk, Lukas Willmes, Sascha |
author_sort |
Preußer, Andreas |
title |
Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
title_short |
Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
title_full |
Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
title_fullStr |
Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
title_full_unstemmed |
Improvement of MODIS-based winter sea-ice production estimates in Arctic polynyas by means of a model-based temperature adjustment scheme ... |
title_sort |
improvement of modis-based winter sea-ice production estimates in arctic polynyas by means of a model-based temperature adjustment scheme ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.10671566 https://zenodo.org/doi/10.5281/zenodo.10671566 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_relation |
https://dx.doi.org/10.3390/rs14092036 https://dx.doi.org/10.5281/zenodo.10671567 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1067156610.3390/rs1409203610.5281/zenodo.10671567 |
_version_ |
1795028454416056320 |