A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021
The surface temperature is one of the main parameters for assessing climate change. Temperature change is most pronounced in the Arctic, and therefore, it is crucial to accurately estimate sea and sea ice surface temperatures in this region. The availability of in situ observations is limited in the...
Published in: | Remote Sensing of Environment |
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2023
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Online Access: | https://orbit.dtu.dk/en/publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e https://doi.org/10.1016/j.rse.2022.113331 https://backend.orbit.dtu.dk/ws/files/298297620/1_s2.0_S0034425722004370_main.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e 2024-06-23T07:48:35+00:00 A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 Nielsen-Englyst, Pia Høyer, Jacob L. Kolbe, Wiebke M. Dybkjær, Gorm Lavergne, Thomas Tonboe, Rasmus Tage Skarpalezos, Sotirios Karagali, Ioanna 2023 application/pdf https://orbit.dtu.dk/en/publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e https://doi.org/10.1016/j.rse.2022.113331 https://backend.orbit.dtu.dk/ws/files/298297620/1_s2.0_S0034425722004370_main.pdf eng eng https://orbit.dtu.dk/en/publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e info:eu-repo/semantics/openAccess Nielsen-Englyst , P , Høyer , J L , Kolbe , W M , Dybkjær , G , Lavergne , T , Tonboe , R T , Skarpalezos , S & Karagali , I 2023 , ' A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 ' , Remote Sensing of Environment , vol. 284 , 113331 . https://doi.org/10.1016/j.rse.2022.113331 Arctic Climate change Infrared satellite observations Optimal interpolation Sea ice surface temperature Sea surface temperature /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action article 2023 ftdtupubl https://doi.org/10.1016/j.rse.2022.113331 2024-06-11T15:14:22Z The surface temperature is one of the main parameters for assessing climate change. Temperature change is most pronounced in the Arctic, and therefore, it is crucial to accurately estimate sea and sea ice surface temperatures in this region. The availability of in situ observations is limited in the Arctic, thus, increasing the need for satellite observations to estimate surface temperatures. We present the first Arctic (>58°N) gap-free climate dataset covering the surface temperatures of the ocean, sea ice and the marginal ice zone from 1 January 1982 to 31 May 2021 based on observations from infrared satellite sensors. The underlying algorithm combines the multi-satellite observations and performs a statistical optimal interpolation to obtain daily gap-free fields, with a spatial resolution of 0.05° in latitude and longitude. In situ observations have been used to derive consistent validation statistics over the ocean and sea ice. Comparison of the derived sea surface temperatures against in situ measurements from drifting buoys, moored buoys and Argo floats shows mean differences of 0.01 °C, 0.04 °C and 0.04 °C and standard deviations of 0.54 °C, 0.56 °C and 0.51 °C, respectively. Over sea ice, the derived ice surface temperatures have been compared with KT-19 measurements from IceBridge flights, showing a mean difference of 1.52 °C and standard deviation of 3.12 °C, and with air temperatures from the North Pole (NP) ice drifting stations as well as ECMWF distributed buoys and CRREL buoys, with mean differences of −2.35 °C, −3.21 °C and –2.87 °C and standard deviations of 3.12 °C, 3.34 °C and 3.36 °C, respectively. The combination of sea and sea-ice surface temperature provides a consistent dataset for climate analysis, which is crucial for studying climate change and trends in the Arctic. The combined sea and sea-ice surface temperature of the Arctic has risen with about 4.5 °C over the period 1982–2021, with a peak warming of around 10 °C in the northeastern Barents Sea. Article in Journal/Newspaper Arctic Arctic Barents Sea Climate change North Pole Sea ice Technical University of Denmark: DTU Orbit Arctic Barents Sea North Pole Remote Sensing of Environment 284 113331 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Arctic Climate change Infrared satellite observations Optimal interpolation Sea ice surface temperature Sea surface temperature /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
Arctic Climate change Infrared satellite observations Optimal interpolation Sea ice surface temperature Sea surface temperature /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action Nielsen-Englyst, Pia Høyer, Jacob L. Kolbe, Wiebke M. Dybkjær, Gorm Lavergne, Thomas Tonboe, Rasmus Tage Skarpalezos, Sotirios Karagali, Ioanna A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
topic_facet |
Arctic Climate change Infrared satellite observations Optimal interpolation Sea ice surface temperature Sea surface temperature /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
The surface temperature is one of the main parameters for assessing climate change. Temperature change is most pronounced in the Arctic, and therefore, it is crucial to accurately estimate sea and sea ice surface temperatures in this region. The availability of in situ observations is limited in the Arctic, thus, increasing the need for satellite observations to estimate surface temperatures. We present the first Arctic (>58°N) gap-free climate dataset covering the surface temperatures of the ocean, sea ice and the marginal ice zone from 1 January 1982 to 31 May 2021 based on observations from infrared satellite sensors. The underlying algorithm combines the multi-satellite observations and performs a statistical optimal interpolation to obtain daily gap-free fields, with a spatial resolution of 0.05° in latitude and longitude. In situ observations have been used to derive consistent validation statistics over the ocean and sea ice. Comparison of the derived sea surface temperatures against in situ measurements from drifting buoys, moored buoys and Argo floats shows mean differences of 0.01 °C, 0.04 °C and 0.04 °C and standard deviations of 0.54 °C, 0.56 °C and 0.51 °C, respectively. Over sea ice, the derived ice surface temperatures have been compared with KT-19 measurements from IceBridge flights, showing a mean difference of 1.52 °C and standard deviation of 3.12 °C, and with air temperatures from the North Pole (NP) ice drifting stations as well as ECMWF distributed buoys and CRREL buoys, with mean differences of −2.35 °C, −3.21 °C and –2.87 °C and standard deviations of 3.12 °C, 3.34 °C and 3.36 °C, respectively. The combination of sea and sea-ice surface temperature provides a consistent dataset for climate analysis, which is crucial for studying climate change and trends in the Arctic. The combined sea and sea-ice surface temperature of the Arctic has risen with about 4.5 °C over the period 1982–2021, with a peak warming of around 10 °C in the northeastern Barents Sea. |
format |
Article in Journal/Newspaper |
author |
Nielsen-Englyst, Pia Høyer, Jacob L. Kolbe, Wiebke M. Dybkjær, Gorm Lavergne, Thomas Tonboe, Rasmus Tage Skarpalezos, Sotirios Karagali, Ioanna |
author_facet |
Nielsen-Englyst, Pia Høyer, Jacob L. Kolbe, Wiebke M. Dybkjær, Gorm Lavergne, Thomas Tonboe, Rasmus Tage Skarpalezos, Sotirios Karagali, Ioanna |
author_sort |
Nielsen-Englyst, Pia |
title |
A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
title_short |
A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
title_full |
A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
title_fullStr |
A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
title_full_unstemmed |
A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 |
title_sort |
combined sea and sea-ice surface temperature climate dataset of the arctic, 1982–2021 |
publishDate |
2023 |
url |
https://orbit.dtu.dk/en/publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e https://doi.org/10.1016/j.rse.2022.113331 https://backend.orbit.dtu.dk/ws/files/298297620/1_s2.0_S0034425722004370_main.pdf |
geographic |
Arctic Barents Sea North Pole |
geographic_facet |
Arctic Barents Sea North Pole |
genre |
Arctic Arctic Barents Sea Climate change North Pole Sea ice |
genre_facet |
Arctic Arctic Barents Sea Climate change North Pole Sea ice |
op_source |
Nielsen-Englyst , P , Høyer , J L , Kolbe , W M , Dybkjær , G , Lavergne , T , Tonboe , R T , Skarpalezos , S & Karagali , I 2023 , ' A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021 ' , Remote Sensing of Environment , vol. 284 , 113331 . https://doi.org/10.1016/j.rse.2022.113331 |
op_relation |
https://orbit.dtu.dk/en/publications/6e231d10-ccbd-4e8d-a614-1f9fbfe4407e |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.rse.2022.113331 |
container_title |
Remote Sensing of Environment |
container_volume |
284 |
container_start_page |
113331 |
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1802638944498614272 |