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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 3
Geosci. Model Dev., 8, 911–921, 2015
https://doi.org/10.5194/gmd-8-911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Monitoring atmospheric composition and climate, research in...

Geosci. Model Dev., 8, 911–921, 2015
https://doi.org/10.5194/gmd-8-911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 31 Mar 2015

Methods for assessment of models | 31 Mar 2015

Description of algorithms for co-locating and comparing gridded model data with remote-sensing observations

B. Langerock1, M. De Mazière1, F. Hendrick1, C. Vigouroux1, F. Desmet1, B. Dils1, and S. Niemeijer2 B. Langerock et al.
  • 1Belgian institute for Space Aeronomy, Ringlaan 3, 1180 Ukkel, Belgium
  • 2S&T, Olof Palmestraat 14, 2616 LR Delft, the Netherlands

Abstract. MACC-II,III, Monitoring Atmospheric Composition and Climate, is the current pre-operational Copernicus Atmosphere Monitoring Service (CAMS). It provides data records on atmospheric composition for recent years, present conditions and forecasts (a few days ahead). To support the quality assessment of the CAMS products, the EU FP7 project Network Of ground-based Remote-Sensing Observations (NORS) created a server to validate the gridded MACC-II,III/CAMS model data against remote-sensing observations from the Network for the Detection of Atmospheric Composition Change (NDACC), for a selected set of target species and pilot stations. This paper describes in detail the algorithms used in this validation server. Amongst others, the algorithms take into account the horizontal displacement of the measured profiles from the location of the instrument, the vertical averaging and uncertainty propagation.

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