Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends
Autor: | Sergey Danilov, Qiang Wang, Thomas Jung, Lars Kaleschke, Andreas Wernecke |
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Rok vydání: | 2016 |
Předmět: |
Drift ice
Arctic sea ice decline geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Lead (sea ice) Antarctic sea ice 010502 geochemistry & geophysics 01 natural sciences Arctic ice pack Physics::Geophysics Arctic geoengineering Geophysics Oceanography 13. Climate action Climatology Sea ice thickness Sea ice General Earth and Planetary Sciences Astrophysics::Earth and Planetary Astrophysics 14. Life underwater Physics::Atmospheric and Oceanic Physics Geology 0105 earth and related environmental sciences |
Zdroj: | Geophysical Research Letters. 43:7019-7027 |
ISSN: | 0094-8276 |
Popis: | Sea ice leads in the Arctic are important features that give rise to strong localized atmospheric heating; they provide the opportunity for vigorous biological primary production, and predicting leads may be of relevance for Arctic shipping. It is commonly believed that traditional sea ice models that employ elastic-viscous-plastic (EVP) rheologies are not capable of properly simulating sea ice deformation, including lead formation, and thus, new formulations for sea ice rheologies have been suggested. Here we show that classical sea ice models have skill in simulating the spatial and temporal variation of lead area fraction in the Arctic when horizontal resolution is increased (here 4.5 km in the Arctic) and when numerical convergence in sea ice solvers is considered, which is frequently neglected. The model results are consistent with satellite remote sensing data and discussed in terms of variability and trends of Arctic sea ice leads. It is found, for example, that wintertime lead area fraction during the last three decades has not undergone significant trends. |
Databáze: | OpenAIRE |
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