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The validation of cloud retrieval algorithms using synthetic datasets
We have performed the inter-comparison study of cloud
property retrievals using algorithms initia...
A Kokhanovsky, J Fischer, R Lindstrot, JF Meirink, et al. | Conference: Advances in Atmospheric Science and Applications | Place: Bruges (Belgium) | Year: 2012 | First page: 0 | Last page: 0
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New TM5-4DVAR inverse modelling system to estimate global and European CH4 sources
A new, 4-dimensional variational (4DVAR) inverse modelling system has been developed for inverse ...
P Bergamaschi, JF Meirink, M Krol, MG Villani | Conference: Atmospheric monitoring and inverse modelling for verification of national and EU bottom-up GHG inventories | Organisation: JRC | Place: Casa Don Guanella, Ispra, Italy | Year: 2007 | First page: 54 | Last page: 59
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Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modelling
Satellite observations of trace gases in the atmosphere offer a promising method for global verif...
JF Meirink, HJ Eskes, APH Goede | Status: published | Journal: Atm. Chem. Phys. | Volume: 6 | Year: 2006 | First page: 1275 | Last page: 1292 | doi: direct.sref.org/1680-7324/acp/2006-6-1275
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Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers
Retrievals of cloud properties from geostationary
satellite sensors offer extensive spatial and t...
N Benas, JF Meirink, M Stengel, P Stammes | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 2863 | Last page: 2879 | doi: 10.5194/amt-12-2863-2019
Publication
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Deriving erythemal UV dose rate from Meteosat Observations
Downwelling solar irradiance at the surface is retrieved from the geostationary Meteosat SEVIRI i...
E. Wiegant and J.F. Meirink | Year: 2017 | Pages: 48
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