Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14657-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-14657-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Nov 2022
Research article |
| 18 Nov 2022
| 18 Nov 2022
Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system
Sebastien Garrigues
CORRESPONDING AUTHOR
ECMWF, Reading, RG2 9AX, UK
Samuel Remy
HYGEOS, Lille, France
Julien Chimot
EUMETSAT, 64295 Darmstadt, Germany
Melanie Ades
ECMWF, Reading, RG2 9AX, UK
Antje Inness
ECMWF, Reading, RG2 9AX, UK
Johannes Flemming
ECMWF, Reading, RG2 9AX, UK
Zak Kipling
ECMWF, Reading, RG2 9AX, UK
Istvan Laszlo
Center for Satellite Applications and Research, NOAA/NESDIS, College Park, Maryland, USA
Angela Benedetti
ECMWF, Reading, RG2 9AX, UK
Roberto Ribas
ECMWF, Reading, RG2 9AX, UK
Soheila Jafariserajehlou
EUMETSAT, 64295 Darmstadt, Germany
Bertrand Fougnie
EUMETSAT, 64295 Darmstadt, Germany
Shobha Kondragunta
Center for Satellite Applications and Research, NOAA/NESDIS, College Park, Maryland, USA
Richard Engelen
ECMWF, Reading, RG2 9AX, UK
Vincent-Henri Peuch
ECMWF, Reading, RG2 9AX, UK
Mark Parrington
ECMWF, Reading, RG2 9AX, UK
Nicolas Bousserez
ECMWF, Reading, RG2 9AX, UK
Margarita Vazquez Navarro
EUMETSAT, 64295 Darmstadt, Germany
Anna Agusti-Panareda
ECMWF, Reading, RG2 9AX, UK
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Cited
14 citations as recorded by crossref.
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- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data M. Elshora & E. Fayez 10.1016/j.apr.2024.102094
- Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS) S. Garrigues et al. 10.5194/acp-23-10473-2023
- Study of aerosols over the southern region of Pakistan using satellite, reanalysis and model data K. Anwar et al. 10.1007/s40808-024-02150-9
- Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years G. Tuna Tuygun & T. Elbir 10.1007/s11356-024-32950-6
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. 10.1016/j.rse.2024.114115
- Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa G. Gualtieri et al. 10.1016/j.apr.2024.102158
- Calibration of CAMS PM2.5 data over Hungary: a machine learning approach A. Qor-el-aine et al. 10.1088/2515-7620/ad6239
- Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
- Multi-Layer Cloud Motion Vector Forecasting for Solar Energy Applications P. Kosmopoulos et al. 10.1016/j.apenergy.2023.122144
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- Recent activities for the dust storm studies in Central Asia D. Belikov et al. 10.1051/e3sconf/202457504006
12 citations as recorded by crossref.
- Risk of cardiovascular and respiratory diseases attributed to satellite-based PM2.5 over 2017–2022 in Sanandaj, an area of Iran S. Rahmati et al. 10.1007/s00484-024-02697-3
- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data M. Elshora & E. Fayez 10.1016/j.apr.2024.102094
- Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS) S. Garrigues et al. 10.5194/acp-23-10473-2023
- Study of aerosols over the southern region of Pakistan using satellite, reanalysis and model data K. Anwar et al. 10.1007/s40808-024-02150-9
- Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years G. Tuna Tuygun & T. Elbir 10.1007/s11356-024-32950-6
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. 10.1016/j.rse.2024.114115
- Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa G. Gualtieri et al. 10.1016/j.apr.2024.102158
- Calibration of CAMS PM2.5 data over Hungary: a machine learning approach A. Qor-el-aine et al. 10.1088/2515-7620/ad6239
- Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
- Multi-Layer Cloud Motion Vector Forecasting for Solar Energy Applications P. Kosmopoulos et al. 10.1016/j.apenergy.2023.122144
Latest update: 13 Dec 2024
Short summary
The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using the ECMWF forecast model constrained by the assimilation of satellite aerosol optical depth (AOD). This work aims at evaluating two new satellite AODs to enhance the CAMS aerosol global forecast. It highlights the spatial and temporal differences between the satellite AOD products at the model spatial resolution, which is essential information to design multi-satellite AOD data assimilation schemes.
The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using...
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