IASI-derived sea surface temperature data set for climate studies
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 instrumen...
Published in: | Earth and Space Science |
---|---|
Main Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://www.vliz.be/imisdocs/publications/378992.pdf |
id |
ftvliz:oai:oma.vliz.be:353624 |
---|---|
record_format |
openpolar |
spelling |
ftvliz:oai:oma.vliz.be:353624 2023-05-15T17:34:48+02:00 IASI-derived sea surface temperature data set for climate studies Parracho, A.C. Safieddine, S. Lezeaux, O. Clarisse, L. Whitburn, S. George, M. Prunet, P. Clerbaux, C. 2021 application/pdf https://www.vliz.be/imisdocs/publications/378992.pdf en eng info:eu-repo/semantics/altIdentifier/wos/000658287100024 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1029/2020EA001427 https://www.vliz.be/imisdocs/publications/378992.pdf info:eu-repo/semantics/openAccess %3Ci%3EEarth+and+Space+Science+8%285%29%3C%2Fi%3E%3A+e2020EA001427.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1029%2F2020EA001427%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1029%2F2020EA001427%3C%2Fa%3E info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftvliz https://doi.org/10.1029/2020EA001427 2022-07-13T22:23:26Z 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 Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) Pacific Earth and Space Science 8 5 |
institution |
Open Polar |
collection |
Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) |
op_collection_id |
ftvliz |
language |
English |
description |
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 |
Parracho, A.C. Safieddine, S. Lezeaux, O. Clarisse, L. Whitburn, S. George, M. Prunet, P. Clerbaux, C. |
spellingShingle |
Parracho, A.C. Safieddine, S. Lezeaux, O. Clarisse, L. Whitburn, S. George, M. Prunet, P. Clerbaux, C. IASI-derived sea surface temperature data set for climate studies |
author_facet |
Parracho, A.C. Safieddine, S. Lezeaux, O. Clarisse, L. Whitburn, S. George, M. Prunet, P. Clerbaux, C. |
author_sort |
Parracho, A.C. |
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 |
publishDate |
2021 |
url |
https://www.vliz.be/imisdocs/publications/378992.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
%3Ci%3EEarth+and+Space+Science+8%285%29%3C%2Fi%3E%3A+e2020EA001427.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1029%2F2020EA001427%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1029%2F2020EA001427%3C%2Fa%3E |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000658287100024 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1029/2020EA001427 https://www.vliz.be/imisdocs/publications/378992.pdf |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1029/2020EA001427 |
container_title |
Earth and Space Science |
container_volume |
8 |
container_issue |
5 |
_version_ |
1766133744918331392 |