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Near-real-time approach to assimilation of satellite-retrieved 3D ozone fields in a global model using simplified Kalman filter
In this paper, a near-real-time approach to data assimilation for the estimation of the three-dim...
GY El Serafy, H Kelder | Status: published | Journal: Quart. J. Royal Meteorol. Soc. | Volume: 129 | Year: 2003 | First page: 3099 | Last page: 3120 | doi: 10.1256/003590003769682192
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Arctic winter: comparison of nudged GCM runs with observations
We have compared satellite and balloon observations of methane (CH4) and hydrogen fluoride (HF) d...
M Aalst, A Bregman, C Brühl, B Steil, G Toon, S Garcelon, G Hansford, R Jones, T Gardiner, G Roelofs, J Lelieveld, P Crutzen | Status: published | Journal: Atm. Chem. Phys. | Volume: 4 | Year: 2004 | First page: 81 | Last page: 93 | doi: http://www.cosis.net/members/journals/df/abstract.php?a_id=498
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C-band sea ice model
Using the scatterometer data from the ERS-2 satellite, a classification algorithm for sea/ice dis...
JA Verspeek, A Stoffelen, S de Haan | Conference: Ocean and Sea Ice second workshop | Organisation: EUMETSAT | Place: Perros-Guirec, France | Year: 2005 | First page: 0 | Last page: 0
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Analysis of the SMOS ocean salinity inversion algorithm
As part of the preparation for the European Space Agency SMOS (Soil Moisture and Ocean Salinity) ...
C Gabarró, M Portabella, M Talone, J Font | Conference: International Geoscience and Remote Sensing Symposium (IGARSS) | Organisation: IEEE | Place: Barcelona, Spain | Year: 2007 | First page: 0 | Last page: 0
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NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities
NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...
JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321
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