Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data
The presence of melt ponds on the Arctic sea ice strongly affects the energy balance of the Arctic Ocean in summer. It affects albedo as well as transmittance through the sea ice, which has consequences for the heat balance and mass balance of sea ice. An algorithm to retrieve melt pond fraction and...
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Copernicus Publications (EGU)
2015
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Online Access: | https://oceanrep.geomar.de/id/eprint/26953/ https://oceanrep.geomar.de/id/eprint/26953/1/tc-9-1551-2015.pdf https://doi.org/10.5194/tc-9-1551-2015 |
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ftoceanrep:oai:oceanrep.geomar.de:26953 2023-05-15T13:10:46+02:00 Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data Istomina, L. Heygster, G. Huntemann, M. Schwarz, Pascal Birnbaum, Gerit Scharien, R. Polashenski, C. Perovich, D. Zege, E. Malinka, A. Prikhach, A. Katsev, I. 2015 text https://oceanrep.geomar.de/id/eprint/26953/ https://oceanrep.geomar.de/id/eprint/26953/1/tc-9-1551-2015.pdf https://doi.org/10.5194/tc-9-1551-2015 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/26953/1/tc-9-1551-2015.pdf Istomina, L., Heygster, G., Huntemann, M., Schwarz, P., Birnbaum, G., Scharien, R., Polashenski, C., Perovich, D., Zege, E., Malinka, A., Prikhach, A. and Katsev, I. (2015) Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data . The Cryosphere, 9 . pp. 1551-1566. DOI 10.5194/tc-9-1551-2015 <https://doi.org/10.5194/tc-9-1551-2015>. doi:10.5194/tc-9-1551-2015 cc_by_3.0 Article PeerReviewed 2015 ftoceanrep https://doi.org/10.5194/tc-9-1551-2015 2023-04-07T15:16:51Z The presence of melt ponds on the Arctic sea ice strongly affects the energy balance of the Arctic Ocean in summer. It affects albedo as well as transmittance through the sea ice, which has consequences for the heat balance and mass balance of sea ice. An algorithm to retrieve melt pond fraction and sea ice albedo from Medium Resolution Imaging Spectrometer (MERIS) data is validated against aerial, shipborne and in situ campaign data. The results show the best correlation for landfast and multiyear ice of high ice concentrations. For broadband albedo, R2 is equal to 0.85, with the RMS (root mean square) being equal to 0.068; for the melt pond fraction, R2 is equal to 0.36, with the RMS being equal to 0.065. The correlation for lower ice concentrations, subpixel ice floes, blue ice and wet ice is lower due to ice drift and challenging for the retrieval surface conditions. Combining all aerial observations gives a mean albedo RMS of 0.089 and a mean melt pond fraction RMS of 0.22. The in situ melt pond fraction correlation is R2 = 0.52 with an RMS = 0.14. Ship cruise data might be affected by documentation of varying accuracy within the Antarctic Sea Ice Processes and Climate (ASPeCt) protocol, which may contribute to the discrepancy between the satellite value and the observed value: mean R2 = 0.044, mean RMS = 0.16. An additional dynamic spatial cloud filter for MERIS over snow and ice has been developed to assist with the validation on swath data. Article in Journal/Newspaper albedo Antarc* Antarctic Arctic Arctic Ocean Sea ice The Cryosphere OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Antarctic Arctic Arctic Ocean The Antarctic The Cryosphere 9 4 1551 1566 |
institution |
Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
op_collection_id |
ftoceanrep |
language |
English |
description |
The presence of melt ponds on the Arctic sea ice strongly affects the energy balance of the Arctic Ocean in summer. It affects albedo as well as transmittance through the sea ice, which has consequences for the heat balance and mass balance of sea ice. An algorithm to retrieve melt pond fraction and sea ice albedo from Medium Resolution Imaging Spectrometer (MERIS) data is validated against aerial, shipborne and in situ campaign data. The results show the best correlation for landfast and multiyear ice of high ice concentrations. For broadband albedo, R2 is equal to 0.85, with the RMS (root mean square) being equal to 0.068; for the melt pond fraction, R2 is equal to 0.36, with the RMS being equal to 0.065. The correlation for lower ice concentrations, subpixel ice floes, blue ice and wet ice is lower due to ice drift and challenging for the retrieval surface conditions. Combining all aerial observations gives a mean albedo RMS of 0.089 and a mean melt pond fraction RMS of 0.22. The in situ melt pond fraction correlation is R2 = 0.52 with an RMS = 0.14. Ship cruise data might be affected by documentation of varying accuracy within the Antarctic Sea Ice Processes and Climate (ASPeCt) protocol, which may contribute to the discrepancy between the satellite value and the observed value: mean R2 = 0.044, mean RMS = 0.16. An additional dynamic spatial cloud filter for MERIS over snow and ice has been developed to assist with the validation on swath data. |
format |
Article in Journal/Newspaper |
author |
Istomina, L. Heygster, G. Huntemann, M. Schwarz, Pascal Birnbaum, Gerit Scharien, R. Polashenski, C. Perovich, D. Zege, E. Malinka, A. Prikhach, A. Katsev, I. |
spellingShingle |
Istomina, L. Heygster, G. Huntemann, M. Schwarz, Pascal Birnbaum, Gerit Scharien, R. Polashenski, C. Perovich, D. Zege, E. Malinka, A. Prikhach, A. Katsev, I. Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
author_facet |
Istomina, L. Heygster, G. Huntemann, M. Schwarz, Pascal Birnbaum, Gerit Scharien, R. Polashenski, C. Perovich, D. Zege, E. Malinka, A. Prikhach, A. Katsev, I. |
author_sort |
Istomina, L. |
title |
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
title_short |
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
title_full |
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
title_fullStr |
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
title_full_unstemmed |
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data |
title_sort |
melt pond fraction and spectral sea ice albedo retrieval from meris data – part 1: validation against in situ, aerial, and ship cruise data |
publisher |
Copernicus Publications (EGU) |
publishDate |
2015 |
url |
https://oceanrep.geomar.de/id/eprint/26953/ https://oceanrep.geomar.de/id/eprint/26953/1/tc-9-1551-2015.pdf https://doi.org/10.5194/tc-9-1551-2015 |
geographic |
Antarctic Arctic Arctic Ocean The Antarctic |
geographic_facet |
Antarctic Arctic Arctic Ocean The Antarctic |
genre |
albedo Antarc* Antarctic Arctic Arctic Ocean Sea ice The Cryosphere |
genre_facet |
albedo Antarc* Antarctic Arctic Arctic Ocean Sea ice The Cryosphere |
op_relation |
https://oceanrep.geomar.de/id/eprint/26953/1/tc-9-1551-2015.pdf Istomina, L., Heygster, G., Huntemann, M., Schwarz, P., Birnbaum, G., Scharien, R., Polashenski, C., Perovich, D., Zege, E., Malinka, A., Prikhach, A. and Katsev, I. (2015) Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data . The Cryosphere, 9 . pp. 1551-1566. DOI 10.5194/tc-9-1551-2015 <https://doi.org/10.5194/tc-9-1551-2015>. doi:10.5194/tc-9-1551-2015 |
op_rights |
cc_by_3.0 |
op_doi |
https://doi.org/10.5194/tc-9-1551-2015 |
container_title |
The Cryosphere |
container_volume |
9 |
container_issue |
4 |
container_start_page |
1551 |
op_container_end_page |
1566 |
_version_ |
1766241655711596544 |