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

Authors :
Langerock, B.
De Mazière, M.
Hendrick, F.
Vigouroux, C.
Desmet, F.
Dils, B.
Niemeijer, S.
Source :
Geoscientific Model Development Discussions; 2014, Vol. 7 Issue 6, p8151-8178, 28p
Publication Year :
2014

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 for a few days ahead. To support the quality assessment of the CAMS products, the EU FP7 project 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19919611
Volume :
7
Issue :
6
Database :
Complementary Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
100314111
Full Text :
https://doi.org/10.5194/gmdd-7-8151-2014