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DOI10.5194/tc-9-1797-2015
Inter-comparison and evaluation of sea ice algorithms: Towards further identification of challenges and optimal approach using passive microwave observations
Ivanova N.; Pedersen L.T.; Tonboe R.T.; Kern S.; Heygster G.; Lavergne T.; Sørensen A.; Saldo R.; Dybkjær G.; Brucker L.; Shokr M.
发表日期2015
ISSN19940416
卷号9期号:5
英文摘要Sea ice concentration has been retrieved in polar regions with satellite microwave radiometers for over 30 years. However, the question remains as to what is an optimal sea ice concentration retrieval method for climate monitoring. This paper presents some of the key results of an extensive algorithm inter-comparison and evaluation experiment. The skills of 30 sea ice algorithms were evaluated systematically over low and high sea ice concentrations. Evaluation criteria included standard deviation relative to independent validation data, performance in the presence of thin ice and melt ponds, and sensitivity to error sources with seasonal to inter-annual variations and potential climatic trends, such as atmospheric water vapour and water-surface roughening by wind. A selection of 13 algorithms is shown in the article to demonstrate the results. Based on the findings, a hybrid approach is suggested to retrieve sea ice concentration globally for climate monitoring purposes. This approach consists of a combination of two algorithms plus dynamic tie points implementation and atmospheric correction of input brightness temperatures. The method minimizes inter-sensor calibration discrepancies and sensitivity to the mentioned error sources. © Author(s) 2015.
学科领域algorithm; calibration; microwave radiometer; polar region; sea ice; sea surface; seasonal variation; sensitivity analysis; water vapor
语种英语
scopus关键词algorithm; calibration; microwave radiometer; polar region; sea ice; sea surface; seasonal variation; sensitivity analysis; water vapor
来源期刊Cryosphere
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/119817
作者单位Nansen Environmental and Remote Sensing Center, Bergen, Norway; Danish Meteorological Institute, Copenhagen, Denmark; University of Hamburg, Hamburg, Germany; University of Bremen, Bremen, Germany; Norwegian Meteorological Institute, Oslo, Norway; Technical University of Denmark, Lyngby, Denmark; NASA Goddard Space Flight Center, Cryospheric Sciences Laboratory, Code 615, Greenbelt, MD 20771, United States; Universities Space Research Association, Goddard Earth Sciences Technology and Research Studies and Investigations, Columbia, MD 21044, United States; Environment CanadaON, Canada
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Ivanova N.,Pedersen L.T.,Tonboe R.T.,et al. Inter-comparison and evaluation of sea ice algorithms: Towards further identification of challenges and optimal approach using passive microwave observations[J],2015,9(5).
APA Ivanova N..,Pedersen L.T..,Tonboe R.T..,Kern S..,Heygster G..,...&Shokr M..(2015).Inter-comparison and evaluation of sea ice algorithms: Towards further identification of challenges and optimal approach using passive microwave observations.Cryosphere,9(5).
MLA Ivanova N.,et al."Inter-comparison and evaluation of sea ice algorithms: Towards further identification of challenges and optimal approach using passive microwave observations".Cryosphere 9.5(2015).
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