Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

N. Ivanova, L. T. Pedersen, R. T. Tonboe, S. Kern, G. Heygster, T. Lavergne, A. Sørensen, Roberto Saldo, G. Dybkjær, L. Brucker, M. Shokr

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Abstract

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.
Original languageEnglish
JournalThe Cryosphere
Volume9
Pages (from-to)1797–1817
ISSN1994-0416
DOIs
Publication statusPublished - 2015

Cite this

Ivanova, N. ; Pedersen, L. T. ; Tonboe, R. T. ; Kern, S. ; Heygster, G. ; Lavergne, T. ; Sørensen, A. ; Saldo, Roberto ; Dybkjær, G. ; Brucker, L. ; Shokr, M. / Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations. In: The Cryosphere. 2015 ; Vol. 9. pp. 1797–1817.
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title = "Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations",
abstract = "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 = "N. Ivanova and Pedersen, {L. T.} and Tonboe, {R. T.} and S. Kern and G. Heygster and T. Lavergne and A. S{\o}rensen and Roberto Saldo and G. Dybkj{\ae}r and L. Brucker and M. Shokr",
year = "2015",
doi = "10.5194/tc-9-1797-2015",
language = "English",
volume = "9",
pages = "1797–1817",
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Ivanova, N, Pedersen, LT, Tonboe, RT, Kern, S, Heygster, G, Lavergne, T, Sørensen, A, Saldo, R, Dybkjær, G, Brucker, L & Shokr, M 2015, 'Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations', The Cryosphere, vol. 9, pp. 1797–1817. https://doi.org/10.5194/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, Roberto; Dybkjær, G.; Brucker, L.; Shokr, M.

In: The Cryosphere, Vol. 9, 2015, p. 1797–1817.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

AU - Ivanova, N.

AU - Pedersen, L. T.

AU - Tonboe, R. T.

AU - Kern, S.

AU - Heygster, G.

AU - Lavergne, T.

AU - Sørensen, A.

AU - Saldo, Roberto

AU - Dybkjær, G.

AU - Brucker, L.

AU - Shokr, M.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.5194/tc-9-1797-2015

DO - 10.5194/tc-9-1797-2015

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EP - 1817

JO - Cryosphere

JF - Cryosphere

SN - 1994-0416

ER -