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PreprintCited by 1,654Atmospheric chemistry and aerosolsAtmospheric Ozone and ClimateAtmospheric and Environmental Gas Dynamics

The CAMS reanalysis of atmospheric composition

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Inness, Antje, Ades, Melanie, Agusti-Panareda, Anna, Barré, Jérôme, Benedictow, Anna, Blechschmidt, Anne-Marlene, Dominguez, Juan Jose, Engelen, Richard +12 more·2018·Atmospheric chemistry and physics
DOI 10.5194/acp-2018-1078

Preprint — published as 10.5194/acp-19-3515-2019

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Abstract

Abstract. The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis data set of atmospheric composition produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), consisting of 3-dimensional time-consistent atmospheric composition fields, including aerosols and chemical species. The dataset currently covers the period 2003–2016 and will be extended in the future by adding one year each year. A reanalysis for greenhouse gases is being produced separately. The CAMS reanalysis builds on the experience gained during the production of the earlier Monitoring Atmospheric Composition and Climate (MACC) reanalysis and CAMS interim reanalysis. Satellite retrievals of total column CO, tropospheric column NO2, aerosol optical depth and total column, partial column and profile ozone retrievals were assimilated for the CAMS reanalysis with ECMWF’s Integrated Forecasting System. The new reanalysis has an increased horizontal resolution of about 80 km and provides more chemical species at a better temporal resolution (3-hourly analysis fields, 3-hourly forecast fields and hourly surface forecast fields) than the previously produced CAMS interim reanalysis. The CAMS reanalysis has smaller biases compared to independent ozone, carbon monoxide, nitrogen dioxide and aerosol optical depth observations than the previous two reanalyses and is much improved and more consistent in time, especially compared to the MACC reanalysis. The CAMS reanalysis is a dataset that can be used to compute climatologies, study trends, evaluate models, benchmark other reanalyses or serve as boundary conditions for regional models for past periods.

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  • For PM2.5, the exposure variable in this study, the CAMS model is evaluated with ground observations of AERONET.

    “Specifically, for the PM2.5, the exposure variable in our study, it is evaluated with ground observations of the Aerosol Robotic Network (AERONET).”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as Inness et al. [36]

    The Aerosols section says CAMS reanalysis AOD at 550 nm was evaluated against ground-based AERONET observations. It does not say that PM2.5 concentrations were evaluated against AERONET; the cited evaluation concerns a different aerosol measure. Page numbers were not available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

  • ECMWF is a reliable source for daily temporal changes in air pollution, as shown by validation studies.

    “However, we highlight that in our study we were interested in temporal changes of air pollution (daily variation), and therefore, European Centre for Medium-Range Weather Forecasts (ECMWF) seems to be a reliable source of providing such data as shown by the validation studies mentioned in the “Methods” section.”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as Inness et al. [36]

    The paper’s Abstract describes ECMWF’s CAMS reanalysis as time-consistent atmospheric-composition data with hourly surface forecast fields, and its Nitrogen dioxide section reports validation against observations at European stations. That validation says the reanalyses reproduce observed mean values and seasonal variability well, but it does not establish reliability specifically for day-to-day changes in air pollution. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • In South America, the CAMS satellite instrument data have an approximate bias of −0.006 ± 0.128 relative to AERONET.

    “In South America, the data from satellite’s instruments are slightly smaller, with an approximate bias of −0.006 ± 0.128.”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as Inness et al. [36]

    The Aerosols section and Figure 22 caption show that the paper compares reanalysis aerosol optical depth with AERONET observations in South America. The passages available from our copy do not give the South American bias of −0.006 ± 0.128; they also describe reanalysis output, not a direct bias of satellite-instrument data. Searches for the value and the South America entry of Table 8 did not resolve those points. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

  • The validation for the CAMS global model is reported by Inness et al.36.

    “The validation for the CAMS global model is reported by Inness et al.36.”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as Inness et al. [36]

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Cited by

Sorted by citations

Authors
Inness, A., Ades, M., Agusti-Panareda, A., Barré, J., Benedictow, A., Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J., Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M., Peuch, V.-H., Razinger, M., Remy, S., Schulz, M., & Suttie, M.
Affiliations
  • European Centre for Medium-Range Weather Forecasts (GB)
  • NSF NCAR Atmospheric Chemistry Observations & Modeling (US)
  • Norwegian Meteorological Institute (NO)
  • University of Bremen (DE)
  • Royal Netherlands Meteorological Institute (NL)
Corresponding author
Inness, Antje
ORCID
Venue
Atmospheric chemistry and physics
Publisher
Copernicus GmbH
Published
2018-11-19
Volume
19
Issue
6
Pages
3515-3556
ISSN
1680-7316 (ISSN-L)
DOI
10.5194/acp-2018-1078
OpenAlex
W2900933286
Cited by
1,654
References
0
Citations by year
2026: 306 · 2025: 288 · 2024: 286 · 2023: 225 · 2022: 242 · 2021: 222 · 2020: 68 · 2019: 17
FWCI
52.78
Type
journal article
Language
en
Open access
Licence
Locations
  • Atmospheric chemistry and physics (publishedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Biogeosciences (European Geosciences Union) (submittedVersion, cc-by)
Funders
  • European Commission
  • European Centre for Medium-Range Weather Forecasts
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric Ozone and Climate
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
Keywords
CAMS reanalysis, atmospheric composition, aerosols, chemical species, carbon monoxide, nitrogen dioxide, ozone, aerosol optical depth, satellite data assimilation, MACC reanalysis, reanalysis evaluation, Integrated Forecasting System

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