Within the AURORA project, and additionally funded by ESA and the Belgian Science Policy Office (BELSPO), Arno Keppens and colleagues from the Royal Belgian Institute for Space Aeronomy (BIRA-IASB) have published an overview paper on the harmonization and comparison of atmospheric state observations with vertical resolution.
The work discusses the most frequently used harmonization methods in a conceptually and terminologically aligned framework. Ten matching operations are identified and expressed by common matrix algebra. The effect of these manipulations on the information content of the original data and on the uncertainty budget of data comparisons is examined and discussed. Remarkably, the matching of observations’ prior information has been demonstrated to be most generally applicable if one makes use of the complete data fusion framework developed within AURORA.
The complete manuscript, part of the AMT special issue “Towards Unified Error Reporting” (TUNER), is available for free here.
Reference: Keppens, A., Compernolle, S., Verhoelst, T., Hubert, D., and Lambert, J.-C.: Harmonization and comparison of vertically resolved atmospheric state observations: methods, effects, and uncertainty budget, Atmos. Meas. Tech., 12, 4379–4391, https://doi.org/10.5194/amt-12-4379-2019, 2019.
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