Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data
The ice surface temperature (IST) is an important boundary condition for both atmospheric and ocean and sea ice models and for coupled systems. An operational ice surface temperature product using satellite Metop AVHRR infra-red data was developed for MyOcean. The IST can be mapped in clear sky regi...
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ftcopernicus:oai:publications.copernicus.org:os14719 2023-05-15T14:43:53+02:00 Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data Dybkjær, G. Tonboe, R. Høyer, J. L. 2018-01-15 application/pdf https://doi.org/10.5194/os-8-959-2012 https://os.copernicus.org/articles/8/959/2012/ eng eng doi:10.5194/os-8-959-2012 https://os.copernicus.org/articles/8/959/2012/ eISSN: 1812-0792 Text 2018 ftcopernicus https://doi.org/10.5194/os-8-959-2012 2020-07-20T16:25:39Z The ice surface temperature (IST) is an important boundary condition for both atmospheric and ocean and sea ice models and for coupled systems. An operational ice surface temperature product using satellite Metop AVHRR infra-red data was developed for MyOcean. The IST can be mapped in clear sky regions using a split window algorithm specially tuned for sea ice. Clear sky conditions prevail during spring in the Arctic, while persistent cloud cover limits data coverage during summer. The cloud covered regions are detected using the EUMETSAT cloud mask. The Metop IST compares to 2 m temperature at the Greenland ice cap Summit within STD error of 3.14 °C and to Arctic drifting buoy temperature data within STD error of 3.69 °C. A case study reveals that the in situ radiometer data versus satellite IST STD error can be much lower (0.73 °C) and that the different in situ measurements complicate the validation. Differences and variability between Metop IST and in situ data are analysed and discussed. An inter-comparison of Metop IST, numerical weather prediction temperatures and in situ observation indicates large biases between the different quantities. Because of the scarcity of conventional surface temperature or surface air temperature data in the Arctic, the satellite IST data with its relatively good coverage can potentially add valuable information to model analysis for the Arctic atmosphere. Text Arctic Greenland Ice cap Sea ice Copernicus Publications: E-Journals Arctic Greenland Ocean Science 8 6 959 970 |
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Open Polar |
collection |
Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
The ice surface temperature (IST) is an important boundary condition for both atmospheric and ocean and sea ice models and for coupled systems. An operational ice surface temperature product using satellite Metop AVHRR infra-red data was developed for MyOcean. The IST can be mapped in clear sky regions using a split window algorithm specially tuned for sea ice. Clear sky conditions prevail during spring in the Arctic, while persistent cloud cover limits data coverage during summer. The cloud covered regions are detected using the EUMETSAT cloud mask. The Metop IST compares to 2 m temperature at the Greenland ice cap Summit within STD error of 3.14 °C and to Arctic drifting buoy temperature data within STD error of 3.69 °C. A case study reveals that the in situ radiometer data versus satellite IST STD error can be much lower (0.73 °C) and that the different in situ measurements complicate the validation. Differences and variability between Metop IST and in situ data are analysed and discussed. An inter-comparison of Metop IST, numerical weather prediction temperatures and in situ observation indicates large biases between the different quantities. Because of the scarcity of conventional surface temperature or surface air temperature data in the Arctic, the satellite IST data with its relatively good coverage can potentially add valuable information to model analysis for the Arctic atmosphere. |
format |
Text |
author |
Dybkjær, G. Tonboe, R. Høyer, J. L. |
spellingShingle |
Dybkjær, G. Tonboe, R. Høyer, J. L. Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
author_facet |
Dybkjær, G. Tonboe, R. Høyer, J. L. |
author_sort |
Dybkjær, G. |
title |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
title_short |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
title_full |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
title_fullStr |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
title_full_unstemmed |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
title_sort |
arctic surface temperatures from metop avhrr compared to in situ ocean and land data |
publishDate |
2018 |
url |
https://doi.org/10.5194/os-8-959-2012 https://os.copernicus.org/articles/8/959/2012/ |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Ice cap Sea ice |
genre_facet |
Arctic Greenland Ice cap Sea ice |
op_source |
eISSN: 1812-0792 |
op_relation |
doi:10.5194/os-8-959-2012 https://os.copernicus.org/articles/8/959/2012/ |
op_doi |
https://doi.org/10.5194/os-8-959-2012 |
container_title |
Ocean Science |
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8 |
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6 |
container_start_page |
959 |
op_container_end_page |
970 |
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