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Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022
Scientific Data, Volume: 12, Issue: 1
Swansea University Authors:
Kevin Pearson , Peter North
, Andreas Heckel, Alberto Hornero
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© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.1038/s41597-025-04694-6
Abstract
A data record, spanning 24 years, is presented of global atmospheric total aerosol optical depth and also the aerosol optical depth due to fine-mode constituents, typically of anthropogenic origin. Original measurements of reflectance were provided at approximately 1-km resolution by a series of dua...
Published in: | Scientific Data |
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ISSN: | 2052-4463 |
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Springer Science and Business Media LLC
2025
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URI: | https://cronfa.swan.ac.uk/Record/cronfa69079 |
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2025-04-10T14:56:53.2866798 v2 69079 2025-03-12 Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 9bc790a2dd52b92e78af7d46f67f9cf6 0000-0001-5848-7614 Kevin Pearson Kevin Pearson true false fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 5acac7dc109c4dcbea64540467df6dca Andreas Heckel Andreas Heckel true false 3140d9cb2dde2c093d42d5bf3b85d05e Alberto Hornero Alberto Hornero true false 2025-03-12 BGPS A data record, spanning 24 years, is presented of global atmospheric total aerosol optical depth and also the aerosol optical depth due to fine-mode constituents, typically of anthropogenic origin. Original measurements of reflectance were provided at approximately 1-km resolution by a series of dual-view satellite instruments: the Along-Track Scanning Radiometer 2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR), and Sea and Land Surface Temperature Radiometers (SLSTRs). These were processed to retrieve aerosol properties at 10-km resolution and then collated over daily and monthly timescales on a 1° × 1° latitude-longitude grid. Retrievals are evaluated against ground-based sun-photometer measurements from the Aerosol Robotic Network and Maritime Aerosol Network and compared to other satellite-derived datasets. The data record has implications for directly constraining the Earth’s radiation budget, allowing benchmarking and improvement of models to represent aerosol in the climate system, air quality monitoring and adding to the long-term record of emission trends related to sources such as fire, dust and sulphate pollution. After release, the SLSTR datasets will be regularly extended in time. Journal Article Scientific Data 12 1 Springer Science and Business Media LLC 2052-4463 8 3 2025 2025-03-08 10.1038/s41597-025-04694-6 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) Algorithm development underpinning these datasets was supported by the European Space Agency’s Climate Change Initiative project for Aerosol. Support for generating these datasets for the full satellite record and for ongoing processing is provided by the Natural Environment Research Council (NERC) [NERC grant reference number NE/X019071/1, “UK EO Climate Information Service”]. Use of the Centre for Environmental Data Analysis computational facilities was partially supported by the NERC National Centre for Earth Observation. 2025-04-10T14:56:53.2866798 2025-03-12T08:00:04.9114352 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Kevin Pearson 0000-0001-5848-7614 1 Peter North 0000-0001-9933-6935 2 Andreas Heckel 3 Alberto Hornero 4 Stefan Kinne 5 Thomas Popp 6 Larisa Sogacheva 7 Jan Griesfeller 8 69079__33791__d83f497b10b244fa8006754d041ad759.pdf s41597-025-04694-6.pdf 2025-03-12T08:25:43.0694906 Output 7503155 application/pdf Version of Record true © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/ 311 true doi:10.5285/17d83baf50a644d89a4fb78ca6cccec1 false |
title |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
spellingShingle |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 Kevin Pearson Peter North Andreas Heckel Alberto Hornero |
title_short |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
title_full |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
title_fullStr |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
title_full_unstemmed |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
title_sort |
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 |
author_id_str_mv |
9bc790a2dd52b92e78af7d46f67f9cf6 fc45a0cb36c24d6cf35313a8c808652f 5acac7dc109c4dcbea64540467df6dca 3140d9cb2dde2c093d42d5bf3b85d05e |
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9bc790a2dd52b92e78af7d46f67f9cf6_***_Kevin Pearson fc45a0cb36c24d6cf35313a8c808652f_***_Peter North 5acac7dc109c4dcbea64540467df6dca_***_Andreas Heckel 3140d9cb2dde2c093d42d5bf3b85d05e_***_Alberto Hornero |
author |
Kevin Pearson Peter North Andreas Heckel Alberto Hornero |
author2 |
Kevin Pearson Peter North Andreas Heckel Alberto Hornero Stefan Kinne Thomas Popp Larisa Sogacheva Jan Griesfeller |
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Scientific Data |
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Swansea University |
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10.1038/s41597-025-04694-6 |
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Springer Science and Business Media LLC |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
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description |
A data record, spanning 24 years, is presented of global atmospheric total aerosol optical depth and also the aerosol optical depth due to fine-mode constituents, typically of anthropogenic origin. Original measurements of reflectance were provided at approximately 1-km resolution by a series of dual-view satellite instruments: the Along-Track Scanning Radiometer 2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR), and Sea and Land Surface Temperature Radiometers (SLSTRs). These were processed to retrieve aerosol properties at 10-km resolution and then collated over daily and monthly timescales on a 1° × 1° latitude-longitude grid. Retrievals are evaluated against ground-based sun-photometer measurements from the Aerosol Robotic Network and Maritime Aerosol Network and compared to other satellite-derived datasets. The data record has implications for directly constraining the Earth’s radiation budget, allowing benchmarking and improvement of models to represent aerosol in the climate system, air quality monitoring and adding to the long-term record of emission trends related to sources such as fire, dust and sulphate pollution. After release, the SLSTR datasets will be regularly extended in time. |
published_date |
2025-03-08T09:40:20Z |
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11.060385 |