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Final version of tools for quantification of co-location mismatch and smoothing uncertainties and associated documentation for integration in the virtual observatory
Final version of tools for quantification of co-location mismatch and smoothing uncertainties and associated documentation for integration in the virtual observatory that reflects any subsequent updates arising as a result of a. feedback from WP5 and b. any subsequent finessing in tasks T3.1 and 3.2
An introduction to the GRUAN Processor
Poster by Fabien Carmiati at the Environment and Climate Change Canada 5th WGNE workshop Montreal - June 19-23, 2017
D6.8 Recommendations for future work
Document
Deliverable
Work package/Task
Content Access
Improving our ability to use non-satellite (ground-based and sub-orbital) observations to characterise satellite observations
GAIA-CLIM poster for the XIV GEO Plenary and GEO Week in Washington (25-26 Oct. 2017).
Smoothing and co-location uncertainty libraries
GAIA-CLIM is supporting the European Commission’s Copernicus Programme by assessing and improving the fitness-for-purpose of sub-orbital (ground- and balloon-based) reference measurements for the validation of observational data sets from satellites. Amongst others, the project aims at improved traceability and uncertainty characterization of the individual sub-orbital measurement systems, and of the comparison with satellite data. The latter implies the need for a rigorous treatment of so-called co-location mismatch uncertainties.
Library of (1) smoothing/sampling error estimates for key atmospheric composition measurement systems, and (2) smoothing sampling error estimates for key data comparisons
A final Version 1.1 of the libraries and corresponding document, including the description of NetCDF files for T and q temporal mismatch uncertainties, was produced in October 2017 (after formal submission of the deliverable). These netCDF files complement the MS Excel workbooks already included in the 1st version.