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FIDUCEO: MVIRI Aerosol Optical Thickness and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1

Update Frequency: Not Planned
Latest Data Update: 2019-09-06
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2019-11-08
Download Stats: last 12 months
Dataset Size: 8.01K Files | 223GB


The MVIRI Aerosol Optial depth demonstration dataset contains the aerosol optical thickness (AOT) as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centred around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.

The aerosol optical thickness (AOT) was retrieved from the MVIRI fundamental climate data record (FCDR) using the Combined Inversion of Surface and AeRosol (CISAR) Algorithm. Both datasets were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project. The primary objective of this data record is to assess and demonstrate how the recalibrated and uncertainty-quantified MVIRI FCDR can support improved retrieval of geophysical parameters. Of particular interest is the impact of in-flight reconstructed and spectrally degrading spectral response functions.

More information is available in the MVIRI Report and Release Note in the documentation

Citable as:  Rüthrich, F.; Govaerts, Y.; Luffarelli, M.; John, V. (2019): FIDUCEO: MVIRI Aerosol Optical Thickness and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: Uncertainty, Climate Data Record, FIDUCEO, Aerosol Optical Depth. Meteosat, MVIRI


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Supplied to CEDA for archival byFrank Ruethrich of EUMETSAT on behalf of the H2020 FIDUCEO project.This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 638822.

Data Quality:
Data was dowloaded from the NOAA class archive and contains quality metricsdescribed in the documentation. It was then provide to CEDA byby fiduceo project team
File Format:
netCDF 4 file format see FIDUCEO format specification in documentation for further information

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: METEOSAT-5 or Meteosat Operational Programme 2 (MOP-2)
Mobile Platform Operation 2 Mobile Platform Operation for: METEOSAT-7

Computation Element: 1

Title FIDUCEO AOT and Albedo CDR v0.1.1
Abstract The FIDUCEO Aerosol Optical Depth and Albedo V0.1.1 data sets where generated in the same computational processed from the FIDUCEO MVIRI FCDRs archived at EUMETSAT. See MVIRI report and software links in documnetation for further detail.
Input Description None
Output Description None
Software Reference None
Output Description


  • var_id: aot
  • standard_name: status_flag
  • var_id: quality_pixel_bitmask
  • units: %
  • var_id: u_common_aot
  • units: %
  • var_id: u_independent_aot
  • units: %
  • var_id: u_structured_aot

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • standard_name: time
  • var_id: time
  • units: s
Temporal Range
Start time:
End time:
Geographic Extent