IASI‐Derived Sea Surface Temperature Data Set for Climate Studies
Abstract Sea surface temperature (SST) is an essential climate variable, that is directly used in climate monitoring. Although satellite measurements can offer continuous global coverage, obtaining a long‐term homogeneous satellite‐derived SST data set suitable for climate studies based on a single...
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ftdoajarticles:oai:doaj.org/article:c81e61dbaf5c4f849eb10207cbe2c600 2023-05-15T17:35:12+02:00 IASI‐Derived Sea Surface Temperature Data Set for Climate Studies Ana C. Parracho Sarah Safieddine Olivier Lezeaux Lieven Clarisse Simon Whitburn Maya George Pascal Prunet Cathy Clerbaux 2021-05-01T00:00:00Z https://doi.org/10.1029/2020EA001427 https://doaj.org/article/c81e61dbaf5c4f849eb10207cbe2c600 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2020EA001427 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2020EA001427 https://doaj.org/article/c81e61dbaf5c4f849eb10207cbe2c600 Earth and Space Science, Vol 8, Iss 5, Pp n/a-n/a (2021) climate data climate trends IASI remote sensing satellite data sea surface temperature Astronomy QB1-991 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.1029/2020EA001427 2022-12-31T16:38:20Z Abstract Sea surface temperature (SST) is an essential climate variable, that is directly used in climate monitoring. Although satellite measurements can offer continuous global coverage, obtaining a long‐term homogeneous satellite‐derived SST data set suitable for climate studies based on a single instrument is still a challenge. In this work, we assess a homogeneous SST data set derived from reprocessed Infrared Atmospheric Sounding Interferometer (IASI) level‐1 (L1C) radiance data. The SST is computed using Planck's Law and simple atmospheric corrections. We assess the data set using the ERA5 reanalysis and the EUMETSAT‐released IASI level‐2 SST product. Over the entire period, the reprocessed IASI SST shows a mean global difference with ERA5 close to zero, a mean absolute bias under 0.5°C, with a SD of difference around 0.3°C and a correlation coefficient over 0.99. In addition, the reprocessed data set shows a stable bias and SD, which is an advantage for climate studies. The interannual variability and trends were compared with other SST data sets: ERA5, Hadley Centre's SST (HadISST), and NOAA's Optimal Interpolation SST Analysis (OISSTv2). We found that the reprocessed SST data set is able to capture the patterns of interannual variability well, showing the same areas of high interannual variability (>1.5°C), including over the tropical Pacific in January corresponding to the El Niño Southern Oscillation. Although the period studied is relatively short, we demonstrate that the IASI data set reproduces the same trend patterns found in the other data sets (i.e., cooling trend in the North Atlantic, warming trend over the Mediterranean). Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Pacific Earth and Space Science 8 5 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate data climate trends IASI remote sensing satellite data sea surface temperature Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
climate data climate trends IASI remote sensing satellite data sea surface temperature Astronomy QB1-991 Geology QE1-996.5 Ana C. Parracho Sarah Safieddine Olivier Lezeaux Lieven Clarisse Simon Whitburn Maya George Pascal Prunet Cathy Clerbaux IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
topic_facet |
climate data climate trends IASI remote sensing satellite data sea surface temperature Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract Sea surface temperature (SST) is an essential climate variable, that is directly used in climate monitoring. Although satellite measurements can offer continuous global coverage, obtaining a long‐term homogeneous satellite‐derived SST data set suitable for climate studies based on a single instrument is still a challenge. In this work, we assess a homogeneous SST data set derived from reprocessed Infrared Atmospheric Sounding Interferometer (IASI) level‐1 (L1C) radiance data. The SST is computed using Planck's Law and simple atmospheric corrections. We assess the data set using the ERA5 reanalysis and the EUMETSAT‐released IASI level‐2 SST product. Over the entire period, the reprocessed IASI SST shows a mean global difference with ERA5 close to zero, a mean absolute bias under 0.5°C, with a SD of difference around 0.3°C and a correlation coefficient over 0.99. In addition, the reprocessed data set shows a stable bias and SD, which is an advantage for climate studies. The interannual variability and trends were compared with other SST data sets: ERA5, Hadley Centre's SST (HadISST), and NOAA's Optimal Interpolation SST Analysis (OISSTv2). We found that the reprocessed SST data set is able to capture the patterns of interannual variability well, showing the same areas of high interannual variability (>1.5°C), including over the tropical Pacific in January corresponding to the El Niño Southern Oscillation. Although the period studied is relatively short, we demonstrate that the IASI data set reproduces the same trend patterns found in the other data sets (i.e., cooling trend in the North Atlantic, warming trend over the Mediterranean). |
format |
Article in Journal/Newspaper |
author |
Ana C. Parracho Sarah Safieddine Olivier Lezeaux Lieven Clarisse Simon Whitburn Maya George Pascal Prunet Cathy Clerbaux |
author_facet |
Ana C. Parracho Sarah Safieddine Olivier Lezeaux Lieven Clarisse Simon Whitburn Maya George Pascal Prunet Cathy Clerbaux |
author_sort |
Ana C. Parracho |
title |
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
title_short |
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
title_full |
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
title_fullStr |
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
title_full_unstemmed |
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies |
title_sort |
iasi‐derived sea surface temperature data set for climate studies |
publisher |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://doi.org/10.1029/2020EA001427 https://doaj.org/article/c81e61dbaf5c4f849eb10207cbe2c600 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Earth and Space Science, Vol 8, Iss 5, Pp n/a-n/a (2021) |
op_relation |
https://doi.org/10.1029/2020EA001427 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2020EA001427 https://doaj.org/article/c81e61dbaf5c4f849eb10207cbe2c600 |
op_doi |
https://doi.org/10.1029/2020EA001427 |
container_title |
Earth and Space Science |
container_volume |
8 |
container_issue |
5 |
_version_ |
1766134276567334912 |