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- GOME Total Column Water Vapour...
GOME Total Column Water Vapour Climate product
How To Access Data
Fast Registration with Immediate Access (Open)
- Go to the ESA User Services Portal
- Register or log in to EO Sign In
- Fill in and submit the form for accessing the data
- You will receive an email with your user name
- A second email will follow with your password to download the data from ftp://gome-ftp-ds.eo.esa.int/ via an FTP client.
Description
The GOME Total Column Water Vapour (TCWV) Climate product was generated by the Max Planck Institute for Chemistry (MPIC), and the German Aerospace Center (DLR) within the ESA GOME-Evolution project. It is a Level 3 type product containing homogenized time-series of the global distribution of TCWV spanning over more than two decades (1995-2015).
The data is provided as single netCDF file, containing monthly mean TCWV (units kg/m2) with 1-degree resolution, and is based on measurements from the satellite instruments ERS-2 GOME, Envisat SCIAMACHY, and MetOp-A GOME-2. Details are available in the paper by Beirle et al, 2018.
Please also consult the GOME TCWV Product Quality Readme file before using the data.
Details
DATA SET SPECIFICATIONS
- European Space Agency, 2018, GOME Total Column Water Vapour Climate product. Version 2.2.https://doi.org/10.57780/esa-1268efe
PROCESSING LEVEL
APPLICABLE TERMS & CONDITIONS
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions.
DATA CITATION
RESOURCES
GOME TCWV Climate Product Technical Documents
Product Specifications
GOME Level 1 to 2 Algorithms Description
Technical Note
Algorithm Theoretical Basis Document for GOME Total Column Densities of Ozone and Nitrogen Dioxide
Technical Note
Disclaimer for GOME Level-1 and Level-2 Data Products
Technical Note
GOME Software Databases for Level 1 to 2 Processing
Technical Note
Delta Validation Report for ERS-2 GOME Data Processor upgrade to Version 4.0
Technical Note
GOME Data Processor Extraction Software
User Manual
More GOME Documents
Other
Documentation related to GOME Data Quality
Other
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