A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS

Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combina...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Andreas Preußer, Günther Heinemann, Lukas Schefczyk, Sascha Willmes
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/rs14092036
id ftmdpi:oai:mdpi.com:/2072-4292/14/9/2036/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2072-4292/14/9/2036/ 2023-08-20T04:03:14+02:00 A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS Andreas Preußer Günther Heinemann Lukas Schefczyk Sascha Willmes agris 2022-04-23 application/pdf https://doi.org/10.3390/rs14092036 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs14092036 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 9; Pages: 2036 sea-ice polynyas leads ice thickness Arctic reanalysis regional climate model MODIS Text 2022 ftmdpi https://doi.org/10.3390/rs14092036 2023-08-01T04:50:58Z Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combination with atmospheric reanalysis data have proven to be a strong tool to monitor large and regularly forming polynyas and to resolve narrow thin-ice areas (i.e., leads) along the shelf-breaks and across the entire Arctic Ocean. However, the selection of the atmospheric data sets has a large influence on derived polynya characteristics due to their impact on the calculation of the heat loss to the atmosphere, which is determined by the local thin-ice thickness. In order to overcome this methodical ambiguity, we present a MODIS-assisted temperature adjustment (MATA) algorithm that yields corrections of the 2 m air temperature and hence decreases differences between the atmospheric input data sets. The adjustment algorithm is based on atmospheric model simulations. We focus on the Laptev Sea region for detailed case studies on the developed algorithm and present time series of polynya characteristics in the winter season 2019/2020. It shows that the application of the empirically derived correction decreases the difference between different utilized atmospheric products significantly from 49% to 23%. Additional filter strategies are applied that aim at increasing the capability to include leads in the quasi-daily and persistence-filtered thin-ice thickness composites. More generally, the winter of 2019/2020 features high polynya activity in the eastern Arctic and less activity in the Canadian Arctic Archipelago, presumably as a result of the particularly strong polar vortex in early 2020. Text Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago laptev Laptev Sea Sea ice MDPI Open Access Publishing Arctic Arctic Ocean Laptev Sea Canadian Arctic Archipelago Remote Sensing 14 9 2036
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic sea-ice
polynyas
leads
ice thickness
Arctic
reanalysis
regional climate model
MODIS
spellingShingle sea-ice
polynyas
leads
ice thickness
Arctic
reanalysis
regional climate model
MODIS
Andreas Preußer
Günther Heinemann
Lukas Schefczyk
Sascha Willmes
A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
topic_facet sea-ice
polynyas
leads
ice thickness
Arctic
reanalysis
regional climate model
MODIS
description Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combination with atmospheric reanalysis data have proven to be a strong tool to monitor large and regularly forming polynyas and to resolve narrow thin-ice areas (i.e., leads) along the shelf-breaks and across the entire Arctic Ocean. However, the selection of the atmospheric data sets has a large influence on derived polynya characteristics due to their impact on the calculation of the heat loss to the atmosphere, which is determined by the local thin-ice thickness. In order to overcome this methodical ambiguity, we present a MODIS-assisted temperature adjustment (MATA) algorithm that yields corrections of the 2 m air temperature and hence decreases differences between the atmospheric input data sets. The adjustment algorithm is based on atmospheric model simulations. We focus on the Laptev Sea region for detailed case studies on the developed algorithm and present time series of polynya characteristics in the winter season 2019/2020. It shows that the application of the empirically derived correction decreases the difference between different utilized atmospheric products significantly from 49% to 23%. Additional filter strategies are applied that aim at increasing the capability to include leads in the quasi-daily and persistence-filtered thin-ice thickness composites. More generally, the winter of 2019/2020 features high polynya activity in the eastern Arctic and less activity in the Canadian Arctic Archipelago, presumably as a result of the particularly strong polar vortex in early 2020.
format Text
author Andreas Preußer
Günther Heinemann
Lukas Schefczyk
Sascha Willmes
author_facet Andreas Preußer
Günther Heinemann
Lukas Schefczyk
Sascha Willmes
author_sort Andreas Preußer
title A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
title_short A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
title_full A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
title_fullStr A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
title_full_unstemmed A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS
title_sort model-based temperature adjustment scheme for wintertime sea-ice production retrievals from modis
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14092036
op_coverage agris
geographic Arctic
Arctic Ocean
Laptev Sea
Canadian Arctic Archipelago
geographic_facet Arctic
Arctic Ocean
Laptev Sea
Canadian Arctic Archipelago
genre Arctic Archipelago
Arctic
Arctic Ocean
Canadian Arctic Archipelago
laptev
Laptev Sea
Sea ice
genre_facet Arctic Archipelago
Arctic
Arctic Ocean
Canadian Arctic Archipelago
laptev
Laptev Sea
Sea ice
op_source Remote Sensing; Volume 14; Issue 9; Pages: 2036
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs14092036
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14092036
container_title Remote Sensing
container_volume 14
container_issue 9
container_start_page 2036
_version_ 1774713632353943552