See, stats, and : https : / / www . researchgate . net / publication / 272794543 Satellite sea : an and Article DOI : 10 . 5194 / tcd - 9 - 1269 - 2015 CITATIONS 3 READS 126 11 , including : Natalia Norwegian 11 SEE Leif Danish 96 SEE Stefan University 77 SEE Georg Universität 161 , 632 SEE All - text , letting. Available : Natalia Retrieved : 20 Abstract Sea ice concentration has been measured globally with satellite microwave radiome - ters for over 30 years . However there is still a need for better understanding of corre - sponding challenges and consequently identifying an optimal method for sea ice con - centration retrieval suitable for climate monitoring . The method should minimize inter - 5 sensor calibration discrepancies and sensitivity to error sources with climatic trends (e . g . atmospheric water vapour and water surface roughening by wind) . This article presents the results of an extensive algorithm inter - comparison and validation exper - iment . Thirty sea ice algorithms entered the experiment where their skills were eval - uated over low and high sea ice concentrations , thin ice and areas covered by melt 10 ponds . In addition , atmospheric correction of input brightness temperatures and dy - namic tie - points approach were suggested . A selection of thirteen algorithms is shown in the article to demonstrate the results . Based on the findings , an optimal approach was suggested to retrieve sea ice concentration globally for climate monitoring pur - poses .
CITATION STYLE
Ivanova, N., Pedersen, L., Tonboe, R. T., Kern, S., Heygster, G., Lavergne, T., … Brucker, L. (2015). Satellite passive microwave measurements of sea ice concentration: An optimal algorithm and challenges. Cryosphere, 9(April), 1797–1817.
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