Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2717-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2717-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An update on the RTTOV fast radiative transfer model (currently at version 12)
Roger Saunders
CORRESPONDING AUTHOR
Met Office, Fitzroy Rd., Exeter, UK
James Hocking
Met Office, Fitzroy Rd., Exeter, UK
Emma Turner
Met Office, Fitzroy Rd., Exeter, UK
Peter Rayer
Met Office, Fitzroy Rd., Exeter, UK
David Rundle
Met Office, Fitzroy Rd., Exeter, UK
Pascal Brunel
MeteoFrance/CMS, Avenue de Lorraine, Lannion, France
Jerome Vidot
MeteoFrance/CMS, Avenue de Lorraine, Lannion, France
Pascale Roquet
MeteoFrance/CMS, Avenue de Lorraine, Lannion, France
Marco Matricardi
ECMWF, Shinfield Park, Reading, UK
Alan Geer
ECMWF, Shinfield Park, Reading, UK
Niels Bormann
ECMWF, Shinfield Park, Reading, UK
Cristina Lupu
ECMWF, Shinfield Park, Reading, UK
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Latest update: 14 Dec 2024
Short summary
This paper describes a fast atmospheric radiative transfer model, RTTOV, which is widely used in the satellite retrieval and weather forecast model assimilation communities. It computes top-of-atmosphere radiances for visible, infrared and microwave downward-viewing satellite radiometers. It enables the satellite data, which are a key part of the observing system, to be optimally used with forecast models. The developments made to RTTOV over the past 20 years are summarised.
This paper describes a fast atmospheric radiative transfer model, RTTOV, which is widely used in...