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FDR4ATMOS - New ESA FDR for Atmospheric composition dataset from ERS-2 GOME and Envisat SCIAMACHY
In addition to releasing new datasets for Envisat SCIAMACHY, the European Space Agency (ESA) has advanced the earth observation capabilities by developing an experimental product under the ESA FDR4ATMOS project (Fundamental Data Records in the domain of satellite Atmospheric Composition).
Fundamental Data Record for Atmospheric Composition [ATMOS__L1B]
The Fundamental Data Record (FDR) for Atmospheric Composition UVN v.1.0 dataset is a cross-instrument Level-1 product [ATMOS__L1B] generated in 2023 and resulting from the ESA FDR4ATMOS project. The FDR contains selected Earth Observation Level 1b parameters (irradiance/reflectance) from the nadir-looking measurements of the ERS-2 GOME and Envisat SCIAMACHY missions for the period ranging from 1995 to 2012. The data record offers harmonised cross-calibrated spectra with focus on spectral windows in the Ultraviolet-Visible-Near Infrared regions for the retrieval of critical atmospheric constituents like ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2) column densities, alongside cloud parameters. The FDR4ATMOS products should be regarded as experimental due to the innovative approach and the current use of a limited-sized test dataset to investigate the impact of harmonization on the Level 2 target species, specifically SO2, O3 and NO2. Presently, this analysis is being carried out within follow-on activities. The FDR4ATMOS V1 is currently being extended to include the MetOp GOME-2 series. Product format For many aspects, the FDR product has improved compared to the existing individual mission datasets: GOME solar irradiances are harmonised using a validated SCIAMACHY solar reference spectrum, solving the problem of the fast-changing etalon present in the original GOME Level 1b data; Reflectances for both GOME and SCIAMACHY are provided in the FDR product. GOME reflectances are harmonised to degradation-corrected SCIAMACHY values, using collocated data from the CEOS PIC sites; SCIAMACHY data are scaled to the lowest integration time within the spectral band using high-frequency PMD measurements from the same wavelength range. This simplifies the use of the SCIAMACHY spectra which were split in a complex cluster structure (with own integration time) in the original Level 1b data; The harmonization process applied mitigates the viewing angle dependency observed in the UV spectral region for GOME data; Uncertainties are provided. Each FDR product provides, within the same file, irradiance/reflectance data for UV-VIS-NIR special regions across all orbits on a single day, including therein information from the individual ERS-2 GOME and Envisat SCIAMACHY measurements. FDR has been generated in two formats: Level 1A and Level 1B targeting expert users and nominal applications respectively. The Level 1A [ATMOS__L1A] data include additional parameters such as harmonisation factors, PMD, and polarisation data extracted from the original mission Level 1 products. The ATMOS__L1A dataset is not part of the nominal dissemination to users. In case of specific requirements, please contact EOHelp. Please refer to the README file for essential guidance before using the data. All the new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page. Uncertainty characterisation One of the main aspects of the project was the characterization of Level 1 uncertainties for both instruments, based on metrological best practices. The following documents are provided: General guidance on a metrological approach to Fundamental Data Records (FDR) Uncertainty Characterisation document Effect tables NetCDF files containing example uncertainty propagation analysis and spectral error correlation matrices for SCIAMACHY (Atlantic and Mauretania scene for 2003 and 2010) and GOME (Atlantic scene for 2003) reflectance_uncertainty_example_FDR4ATMOS_GOME.nc reflectance_uncertainty_example_FDR4ATMOS_SCIA.nc
Showcasing ESA's HEDAVI Earth observation tool
ESA's HEDAVI (HEritage DAta VIsualiation) is a platform that allows users to freely access over 40 years of ESA Earth observation Heritage, Third Party Missions and some Copernicus data.
New stories on change detection and ERS-2 re-entry in HEDAVI
Two new stories are now available in ESA’s HEDAVI (HEritage DAta VIsualisation) tool. HEDAVI visualises Earth observation data from satellites in ESA’s Heritage and Third Party Missions programme, and includes some data from the Copernicus Sentinel satellites.
Interview with Mirko Albani
ESA’s Heritage Space Programme Manager discusses the programme's objectives and challenges.
Beijing (China), 2002
View Beijing in a SAR multitemporal composite image.
Hurricane Mitch, October 1998
View satellite images depicting Hurricane Mitch as it impacted Central America in October 1998.
Kansai and Kobe International Airports (Osaka Bay, Japan)
View satellite images detailing the construction and development of Kansai International Airport, from its early stages in 1978 to completion in 2009.
Urban Evolution of Dubai: A Satellite Perspective from 1984 to 2017
Explore the urban transformation of Dubai through satellite images spanning from 1984 to 2017.
La Rochelle (France), 2004
Explore the SAR multi-temporal satellite image of La Rochelle, captured by the ERS-2 satellite.
Celebrating 20 years of ERS
Discover the evolution of Earth observation technology through satellite images of Rome captured by ERS-1 and ERS-2 over a span of 20 years.
Borneo Deforestation, 2012
Explore the impact of deforestation in Sabah State, Borneo, through satellite imagery from ERS-2 and Envisat.
Venice (Italy), 2004
See the SAR multitemporal colour composite image of Venice.
El Salvador, 2001
View El Salvador, through ERS-2 satellite image from 2001.
Dublin (Ireland), 2003
View Dublin, through a multitemporal SAR colour composite images.
Damascus (Syria), 2005
See the SAR multitemporal colour composite image of Damascus.
Cyprus, 2001
View eastern Cyprus through ERS-2 satellite image from 2001.
Xinjiang Uygur Region (China), 2001
View the satellite image captured by ERS-2, highlighting the northernmost region between Kazakhstan and Mongolia.
Chicago (USA), 2004
See Caracas in a SAR multitemporal composite image, created by merging three satellite images from 2002, 2004 and 2004.
Caracas (Venezuela), 2002
See Caracas in a SAR multitemporal composite image, created by merging three satellite images from 1997, 2000 and 2002.