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  Regional distribution and variability of model-simulated Arctic snow on sea ice

Castro-Morales, K., Ricker, R., & Gerdes, R. (2017). Regional distribution and variability of model-simulated Arctic snow on sea ice. Polar Science, 13, 43-49. doi:10.1016/j.polar.2017.05.003.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-7CF5-F Version Permalink: https://hdl.handle.net/21.11116/0000-000A-3FDE-7
Genre: Journal Article

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BGC2655s1.docx (Supplementary material), 101KB
 
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 Creators:
Castro-Morales, Karel1, 2, Author           
Ricker, Robert, Author
Gerdes, Rüdiger, Author
Affiliations:
1Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring, Dr. Mathias Göckede, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938313              
2Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              

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 Abstract: Numerical models face the challenge of representing the present-day spatiotemporal distribution of snow on sea ice realistically. We present modeled Arctic-wide snow depths on sea ice (hs_mod) obtained with the MITgcm configured with a single snow layer that accumulates proportionally to the thickness of sea ice. When compared to snow depths derived from radar measurements (NASA Operation IceBridge, 2009–2013), the model snow depths are overestimated on first-year ice (2.5 ± 8.1 cm) and multiyear ice (0.8 ± 8.3 cm). The large variance between model and observations lies mainly in the limitations of the model snow scheme and the large uncertainties in the radar measurements. In a temporal analysis, during the peak of snowfall accumulation (April), hs_mod show a decline between 2000 and 2013 associated to long-term reduction of summer sea ice extent, surface melting and sublimation. With the aim of gaining knowledge on how to improve hs_mod, we investigate the contribution of the explicitly modeled snow processes to the resulting hs_mod. Our analysis reveals that this simple snow scheme offers a practical solution to general circulation models due to its ability to replicate robustly the distribution of the large-scale Arctic snow depths. However, benefit can be gained from the integration of explicit wind redistribution processes to potentially improve the model performance and to better understand the interaction between sources and sinks of contemporary Arctic snow.

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 Dates: 2017-05-222017-06-092017-08
 Publication Status: Issued
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 Identifiers: Other: BGC2655
DOI: 10.1016/j.polar.2017.05.003
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Title: Polar Science
Source Genre: Journal
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Publ. Info: Amsterdam [u.a.] : Elsevier
Pages: - Volume / Issue: 13 Sequence Number: - Start / End Page: 43 - 49 Identifier: ISSN: 1873-9652
CoNE: https://pure.mpg.de/cone/journals/resource/1873-9652