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Impact of Assimilation of Sea-Ice Surface Temperatures on a Coupled Ocean and Sea-Ice Model

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journal contribution
posted on 18.09.2018, 13:12 by Till A. S. Rasmussen, Jacob L. Høyer, Darren Ghent, Claire E. Bulgin, Gorm Dybkjaer, Mads H. Ribergaard, Pia Nielsen-Englyst, Kristine Madsen
We establish a methodology for assimilating satellite observations of ice surface temperature (IST) into a coupled ocean and sea‐ice model. The method corrects the 2 m air temperature based on the difference between the modeled and the observed IST. Thus the correction includes biases in the surface forcing and the ability of the model to convert incoming parameters at the surface to a net heat flux. A multisensor, daily, gap‐free surface temperature analysis has been constructed over the Arctic region. This study revealed challenges estimating the ground truth based on buoys measuring IST, as the quality of the measurement varied from buoy to buoy. With these precautions we find a cold temperature bias in the remotely sensed data, and a warm bias in the modeled data relative to ice mounted buoy temperatures, prior to assimilation. As a consequence, this study weighted the modeled IST and the observed IST equally in the correction. The impact of IST was determined for experiments with and without the assimilation of IST and sea‐ice concentration. We find that assimilation of remotely sensed data results in a cooling of IST, which improves the timing of the snow melt onset. The improved snow cover in spring is only based on observations from one buoy, thus additional good quality observations could strengthen the conclusions. The ice cover and the sea‐ice thickness are increased, primarily in the experiment without sea‐ice concentration assimilation.

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Citation

Journal of Geophysical Research: Oceans, 2018, 123 (4), pp. 2440-2460

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy

Version

VoR (Version of Record)

Published in

Journal of Geophysical Research: Oceans

Publisher

American Geophysical Union (AGU)

eissn

2169-9291

Acceptance date

13/03/2018

Copyright date

2018

Available date

18/09/2018

Publisher version

https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017JC013481

Language

en

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