Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations
In the spring of 2021, a shipborne comparison of sea surface temperature (SST) measurements was undertaken using Thermal Infrared (TIR) and Passive Microwave (PMW) radiometers. The Danish Meteorological Institute (DMI) and the Technical University of Denmark (DTU) jointly deployed two TIR and two PM...
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Copernicus Publications
2024
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00072400 2024-04-21T08:05:48+00:00 Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations Gacitúa, Guisella Høyer, Jacob L. Søbjærg, Sten Schmidl Shi, Hoyeon Skarpalezos, Sotirios Karagali, Ioanna Alerskans, Emy Donlon, Craig 2024-03 electronic https://doi.org/10.5194/egusphere-2024-542 https://noa.gwlb.de/receive/cop_mods_00072400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070615/egusphere-2024-542.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-542/egusphere-2024-542.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2024-542 https://noa.gwlb.de/receive/cop_mods_00072400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070615/egusphere-2024-542.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-542/egusphere-2024-542.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2024 ftnonlinearchiv https://doi.org/10.5194/egusphere-2024-542 2024-03-26T15:13:22Z In the spring of 2021, a shipborne comparison of sea surface temperature (SST) measurements was undertaken using Thermal Infrared (TIR) and Passive Microwave (PMW) radiometers. The Danish Meteorological Institute (DMI) and the Technical University of Denmark (DTU) jointly deployed two TIR and two PMW instruments aboard the Norröna ferry, which traversed between Denmark and Iceland for a week. The primary objective was to assess the proximity-based comparison of TIR and PMW measurements, minimizing atmospheric influences and providing valuable insights into skin (TIR) and sub-skin (PMW) SSTs. A linear regression algorithm was developed using TIR SST data as a reference to derive PMW SST from brightness temperature. The data analysis primarily focused on evaluating data variability, identifying discrepancies between TIR and PMW SST, and assessing the overall uncertainty in the retrieval process. The overall root mean squared error (RMSE) of the retrieved PMW SST was 0.88 K during the ship’s motion and 0.94 K under stable conditions when the ship was moored. The analysis of the retrieved SST error budget involved the consideration of observed quantities and a forward model, accounting for factors like instrument noise, wind speed, incident angles, and the RMSE of skin and sub-skin temperature. The resulting error budget indicated 0.97 K for the data acquired during motion and 0.34 K for data collected during port stay. Article in Journal/Newspaper Iceland Niedersächsisches Online-Archiv NOA |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Gacitúa, Guisella Høyer, Jacob L. Søbjærg, Sten Schmidl Shi, Hoyeon Skarpalezos, Sotirios Karagali, Ioanna Alerskans, Emy Donlon, Craig Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
topic_facet |
article Verlagsveröffentlichung |
description |
In the spring of 2021, a shipborne comparison of sea surface temperature (SST) measurements was undertaken using Thermal Infrared (TIR) and Passive Microwave (PMW) radiometers. The Danish Meteorological Institute (DMI) and the Technical University of Denmark (DTU) jointly deployed two TIR and two PMW instruments aboard the Norröna ferry, which traversed between Denmark and Iceland for a week. The primary objective was to assess the proximity-based comparison of TIR and PMW measurements, minimizing atmospheric influences and providing valuable insights into skin (TIR) and sub-skin (PMW) SSTs. A linear regression algorithm was developed using TIR SST data as a reference to derive PMW SST from brightness temperature. The data analysis primarily focused on evaluating data variability, identifying discrepancies between TIR and PMW SST, and assessing the overall uncertainty in the retrieval process. The overall root mean squared error (RMSE) of the retrieved PMW SST was 0.88 K during the ship’s motion and 0.94 K under stable conditions when the ship was moored. The analysis of the retrieved SST error budget involved the consideration of observed quantities and a forward model, accounting for factors like instrument noise, wind speed, incident angles, and the RMSE of skin and sub-skin temperature. The resulting error budget indicated 0.97 K for the data acquired during motion and 0.34 K for data collected during port stay. |
format |
Article in Journal/Newspaper |
author |
Gacitúa, Guisella Høyer, Jacob L. Søbjærg, Sten Schmidl Shi, Hoyeon Skarpalezos, Sotirios Karagali, Ioanna Alerskans, Emy Donlon, Craig |
author_facet |
Gacitúa, Guisella Høyer, Jacob L. Søbjærg, Sten Schmidl Shi, Hoyeon Skarpalezos, Sotirios Karagali, Ioanna Alerskans, Emy Donlon, Craig |
author_sort |
Gacitúa, Guisella |
title |
Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
title_short |
Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
title_full |
Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
title_fullStr |
Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
title_full_unstemmed |
Shipborne Comparison of Infrared and Passive Microwave Radiometers for Sea Surface Temperature Observations |
title_sort |
shipborne comparison of infrared and passive microwave radiometers for sea surface temperature observations |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/egusphere-2024-542 https://noa.gwlb.de/receive/cop_mods_00072400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070615/egusphere-2024-542.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-542/egusphere-2024-542.pdf |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://doi.org/10.5194/egusphere-2024-542 https://noa.gwlb.de/receive/cop_mods_00072400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070615/egusphere-2024-542.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-542/egusphere-2024-542.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/egusphere-2024-542 |
_version_ |
1796945182908743680 |