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Satellite Passive Microwave Measurements of Sea Ice Concentration: an Optimal Algorithm and Challenges : Volume 9, Issue 1 (26/02/2015)

By Ivanova, N.

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Book Id: WPLBN0004023161
Format Type: PDF Article :
File Size: Pages 45
Reproduction Date: 2015

Title: Satellite Passive Microwave Measurements of Sea Ice Concentration: an Optimal Algorithm and Challenges : Volume 9, Issue 1 (26/02/2015)  
Author: Ivanova, N.
Volume: Vol. 9, Issue 1
Language: English
Subject: Science, Cryosphere, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Kern, S., Sørensen, A., Pedersen, L. T., Tonboe, R. T., Brucker, L., Ivanova, N.,...Saldo, R. (2015). Satellite Passive Microwave Measurements of Sea Ice Concentration: an Optimal Algorithm and Challenges : Volume 9, Issue 1 (26/02/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Nansen Environmental and Remote Sensing Center, Bergen, Norway. Sea ice concentration has been measured globally with satellite microwave radiometers for over 30 years. However there is still a need for better understanding of corresponding challenges and consequently identifying an optimal method for sea ice concentration retrieval suitable for climate monitoring. The method should minimize inter-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 experiment. Thirty sea ice algorithms entered the experiment where their skills were evaluated over low and high sea ice concentrations, thin ice and areas covered by melt ponds. In addition, atmospheric correction of input brightness temperatures and dynamic 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 purposes.

Summary
Satellite passive microwave measurements of sea ice concentration: an optimal algorithm and challenges

Excerpt
Andersen, S., Tonboe, R., Kern, S., and Schyberg, H.: Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields: an intercomparison of nine algorithms, Remote Sens. Environ., 104, 374–392, 2006.; Andersen, S., Tonboe, R., Kaleschke, L., Heygster, G., and Pedersen, L. T.: Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res., 112, C08004, doi:10.1029/2006JC003543, 2007.; Ashcroft, P. and Wentz, F. J.: AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures, Version 2, NASA DAAC at the National Snow and Ice Data Center, Boulder, Colorado USA, doi:10.5067/AMSR-E/AE_L2A.002, 2003.; Cavalieri, D. J., Gloersen, P., and Campbell, W. J.: Determination of sea ice parameters with the NIMBUS 7 SMMR, J. Geophys. Res., 89, 5355–5369, 1984.; Cavalieri, D. J., Burns, B. A., and Onstott, R. G.: Investigation of the effects of summer melt on the calculation of sea ice concentration using active and passive microwave data, J. Geophys. Res., 95, 5359–5369, 1990.; Cavalieri, D. J., Germain, K. S., and Swift, C. T.: Reduction of weather effects in the calculation of sea ice concentration with the DMSP SSM/I, J. Glaciol., 41, 455–464, 1995.; Comiso, J. C.: Characteristics of arctic winter sea ice from satellite multispectral microwave observations, J. Geophys. Res., 91, 975–994, 1986.; Comiso, J. C. and Kwok, R.: Surface and radiative characteristics of the summer Arctic sea ice cover from multisensor satellite observations, J. Geophys. Res., 101, 28397–28416, 1996.; Eastwood, S. (Ed.): Ocean & Sea Ice SAF (OSISAF) Sea Ice Product Manual, Version 3.8., available at: http://osisaf.met.no, last access: May 2012; Fennig, K., Andersson, A., and Schröder, M.: Fundamental Climate Data Record of SSM/I Brightness Temperatures, Satellite Application Facility on Climate Monitoring, doi:10.5676/EUM_SAF_CM/FCDR_SSMI/V001, 2013.; Fetterer, F. and Untersteiner, N.: Observations of melt ponds on Arctic sea ice, J. Geophys. Res., 103, 24821–24835, 1998.; Gloersen, P. and Cavalieri, D. J.: Reduction of weather effects in the calculation of sea ice concentration from microwave radiances, J. Geophys. Res., 91, 3913–3919, 1986.; Gloersen, P., Campbell, W. J., Cavalieri, D. J., Comiso, J. C., Parkinson, C. L., and Zwally, H. J.: Arctic and Antarctic Sea Ice, 1978–1987: satellite passive microwave observations and analysis, NASA SP-511, NASA, Washington, D.C., 1992.; Grenfell, T. C., Cavalieri, D. J., Comiso, J. C., Drinkwater, M. R., Onstott, R. G., Rubinstein, I., Steffen, K., and Winebrenner, D. P.: Considerations for microwave remote sensing of thin sea ice, in: Microwave Remote Sensing of Sea Ice, edited by: Carsey, F. D., American Geophysical Union, Washington, D.C., doi:10.1029/GM068p0291, 1992.; Heygster, G., Huntemann, M., Ivanova, N., Saldo, R., and Pedersen, L. T.: Response of passive microwave sea ice concentration algorithms to thin ice, Proceedings Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 13–18 July, Quebec City, QC, 3618–3621, doi:10.1109/IGARSS.2014.6947266, 2014.; Huntemann, M., Heygster, G., Kaleschke, L., Krumpen, T., Mäkynen, M., and Drusch, M.: Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations, The Cryosphere, 8, 439–451, doi:10.5194/tc-8-439-2014, 2014.; Ivanova, N., Johannessen, O. M., Pedersen, L. T., and Tonboe, R. T.: Retrieval of A

 

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