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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Main Authors: Preußer, Andreas, Heinemann, Günther, Schefczyk, Lukas, Willmes, Sascha
Format: Text
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.10671566
https://zenodo.org/doi/10.5281/zenodo.10671566
id ftdatacite:10.5281/zenodo.10671566
record_format openpolar
spelling 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
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
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
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