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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
How to find data collection in EO CAT?
A short guide to EO-CAT Earth Observation Catalogue application with examples.
Maintenance on data Dissemination Services on 18 and 19 July 2024
A software maintenance has been scheduled on Thursday 18 July 2024 from 08:30 to 14:30 UTC impacting the specific Data Dissemination Systems.
Easy visualisation of Earth observation data with new HEDAVI tool modes
The Discover mode in HEDAVI showcases the usefulness of Earth Observation (EO) data in a variety of applications through a list of case-studies—so-called “stories”. The first new feature allows users to share links to the stories in HEDAVI. The second new feature allows them to export any image of a case-study from the Discover mode to the Explorer mode.
HM-ATMOS scheduled maintenance on 04 June 2024
A software maintenance activity has been scheduled for HM-ATMOS OADS instance on Tuesday 04 June 2024 from 07:30 to 08:30 UTC.
Hurricane Danielle, August 1998
View satellite images of Hurricane Danielle from August 1998.
Flood in Northern Europe, July 2002
See satellite images from July 2002 capturing the flooding across northern Europe.
Hurricanes Georges and Jeanne, September 1998
View Hurricanes Georges and Jeanne in September 1998 through satellite imagery.
Hurricane Mitch, October 1998
View satellite images depicting Hurricane Mitch as it impacted Central America in October 1998.
Hurricane Katrina, 2005
See satellite imagery of Hurricane Katrina and its impact on New Orleans in 2005.
Flood in Europe (Germany), 1997
See satellite imagery showcasing the 1997 floods in Germany.
Cyclone Yali, March 1998
See the Tropical Cyclone Yali through satellite images from March 1998.
Development of the Saemangeum Dam (South Korea), 1987-2013
See the transformation of the Saemangeum Dam in South Korea through satellite images from 1987 to 2013.
Development of Hong Kong International Airport, 1988-2010
View the transformation of Hong Kong International Airport through satellite images documenting its development from 1988 to 2010.
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.
ERS ATSR fourth Reprocessing datasets available to users
The fourth Reprocessing of the ATSR L1B datasets derived from the ERS-1 and ERS-2 satellites have now been released to users by the European Space Agency (ESA).
Flood, Camargue (France), January 1994
Explore the 1994 flooding in France's Camargue region through a series of satellite images, capturing the event's impact from pre-flood conditions to recovery efforts.
Flood, Alessandra and Asti (Italy), November 1994
Explore the widespread flooding along the Po and Tanaro Rivers in northern Italy during the 1994 storm through a series of satellite images.
Athabasca Oil Sands (Canada): A Satellite Perspective from 1992 to 2011
Explore the Athabasca Oil Sands in Alberta, through satellite imagery.