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  The impact of heterogeneous surface temperatures on the 2-m air temperature over the Arctic Ocean under clear skies in spring

Tetzlaff, A., Kaleschke, L., Luepkes, C., Ament, F., & Vihma, T. (2013). The impact of heterogeneous surface temperatures on the 2-m air temperature over the Arctic Ocean under clear skies in spring. The Cryosphere, 7, 153-166. doi:10.5194/tc-7-153-2013.

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 Creators:
Tetzlaff, A.1, Author
Kaleschke, L.2, Author           
Luepkes, C.1, Author
Ament, Felix3, Author           
Vihma, T.1, Author
Affiliations:
1external, ou_persistent22              
2B 1 - Arctic and Permafrost, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, ou_1863481              
3I 1 - Integrated Climate Data Center, Integrated Activities, The CliSAP Cluster of Excellence, External Organizations, ou_1863485              

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Free keywords: MARGINAL ICE-ZONE; ATMOSPHERIC BOUNDARY-LAYER; SEA-ICE; HEAT-FLUX; DRAG COEFFICIENT; REANALYSIS; WINTER; SHEBA; BUDGET; MODEL
 Abstract: The influence of spatial surface temperature changes over the Arctic Ocean on the 2-m air temperature variability is estimated using backward trajectories based on ERA-Interim and JRA25 wind fields. They are initiated at Alert, Barrow and at the Tara drifting station. Three different methods are used. The first one compares mean ice surface temperatures along the trajectories to the observed 2-m air temperatures at the stations. The second one correlates the observed temperatures to air temperatures obtained using a simple Lagrangian box model that only includes the effect of sensible heat fluxes. For the third method, mean sensible heat fluxes from the model are correlated with the difference of the air temperatures at the model starting point and the observed temperatures at the stations. The calculations are based on MODIS ice surface temperatures and four different sets of ice concentration derived from SSM/I (Special Sensor Microwave Imager) and AMSR-E (Advanced Microwave Scanning Radiometer for EOS) data. Under nearly cloud-free conditions, up to 90% of the 2-m air temperature variance can be explained for Alert, and 70% for Barrow, using these methods. The differences are attributed to the different ice conditions, which are characterized by high ice concentration around Alert and lower ice concentration near Barrow. These results are robust for the different sets of reanalyses and ice concentration data. Trajectories based on 10-m wind fields from both reanalyses show large spatial differences in the Central Arctic, leading to differences in the correlations between modeled and observed 2-m air temperatures. They are most pronounced at Tara, where explained variances amount to 70% using JRA and 80% using ERA. The results also suggest that near-surface temperatures at a given site are influenced by the variability of surface temperatures in a domain of about 200 km radius around the site.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000314800400011
DOI: 10.5194/tc-7-153-2013
 Degree: -

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Title: The Cryosphere
  Abbreviation : TC
Source Genre: Journal
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Publ. Info: Copernicus Publications
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: 153 - 166 Identifier: Other: 1994-0424
ISSN: 1994-0416
CoNE: https://pure.mpg.de/cone/journals/resource/1994-0416