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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 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.

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Metadaten
Author:Andreas Preußer, Günther Heinemann, Lukas Schefczyk, Sascha Willmes
URN:urn:nbn:de:hbz:385-1-18664
DOI:https://doi.org/10.3390/rs14092036
Parent Title (English):Remote Sensing
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Date of completion:2022/04/23
Date of publication:2022/04/23
Publishing institution:Universität Trier
Contributing corporation:The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG)
Release Date:2022/05/09
Tag:MODIS; ice thickness; leads; polynyas; sea-ice
GND Keyword:Arktis; Meereis; Modellierung; Satellitenfernerkundung
Volume (for the year ...):2022
Issue / no.:Band 14, Heft 9 (2022)
Number of pages:20
Institutes:Fachbereich 6 / Geographie und Geowissenschaften
Dewey Decimal Classification:9 Geschichte und Geografie / 90 Geschichte / 900 Geschichte und Geografie
Licence (German):License LogoCC BY: Creative-Commons-Lizenz 4.0 International

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