Ocean Sci. Discuss., 9, 1009-1043, 2012
www.ocean-sci-discuss.net/9/1009/2012/
doi:10.5194/osd-9-1009-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Ocean Science (OS). Please refer to the corresponding final paper in OS.
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data
G. Dybkjær, R. Tonboe, and J. Høyer
Danish Meteorological Institute, Lyngbyvej 100, 2100 København, Denmark

Abstract. The ice surface temperature (IST) is an important boundary condition for both atmospheric and ocean and sea ice models and for coupled systems. An operational ice surface temperature product using satellite Metop AVHRR infra-red data was developed for MyOcean. The IST can be mapped in clear sky regions using a split window algorithm specially tuned for sea ice. Clear sky conditions are prevailing during spring in the Arctic while persistent cloud cover limits data coverage during summer. The cloud covered regions are detected using the EUMETSAT cloud mask. The Metop IST compares to 2 m temperature at the Greenland ice cap Summit within STD error of 3.14 °C and to Arctic drifting buoy temperature data within STD error of 3.69 °C. A case study reveal that the in situ radiometer data versus satellite IST STD error can be much lower (0.73 °C) and that the different in situ measures complicates the validation. Differences and variability between Metop IST and in situ data are analysed and discussed. An inter-comparison of Metop IST, numerical weather prediction temperatures and in situ observation indicates large biases between the different quantities. Because of the scarcity of conventional surface temperature or surface air temperature data in the Arctic the satellite IST data with its relatively good coverage can potentially add valuable information to model analysis for the Arctic atmosphere.

Citation: Dybkjær, G., Tonboe, R., and Høyer, J.: Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data, Ocean Sci. Discuss., 9, 1009-1043, doi:10.5194/osd-9-1009-2012, 2012.
 
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