Journal article 119 views 21 downloads
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022
,
Peter North ,
Andreas Heckel,
Alberto Hornero,
Stefan Kinne,
Thomas Popp,
Larisa Sogacheva,
Jan Griesfeller
Scientific Data, Volume: 12, Issue: 1
Swansea University Authors:
Kevin Pearson , Peter North , Andreas Heckel, Alberto Hornero
-
PDF | Version of Record
© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License.
Download (7.16MB)
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 |
|---|---|
| ISSN: | 2052-4463 |
| Published: |
Springer Science and Business Media LLC
2025
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69079 |
| 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 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. |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
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. |
| Issue: |
1 |