Articles | Volume 7, issue 9
https://doi.org/10.5194/amt-7-2839-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-2839-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Sep 2014
Research article |
| 09 Sep 2014
Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms
U. Hamann
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
MeteoSwiss, Locarno, Switzerland
A. Walther
University of Wisconsin, Madison, WI, USA
University of Wisconsin, Madison, WI, USA
R. Bennartz
University of Wisconsin, Madison, WI, USA
Vanderbilt University, Nashville, TN, USA
L. Bugliaro
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
M. Derrien
Météo-France, Lannion, France
P. N. Francis
Met Office, Exeter, UK
A. Heidinger
Center for Satellite Applications and Research, NESDIS, NOAA, Madison, WI, USA
S. Joro
EUMETSAT, Darmstadt, Germany
A. Kniffka
Deutscher Wetterdienst (DWD), Offenbach, Germany
H. Le Gléau
Météo-France, Lannion, France
M. Lockhoff
Deutscher Wetterdienst (DWD), Offenbach, Germany
H.-J. Lutz
EUMETSAT, Darmstadt, Germany
J. F. Meirink
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
P. Minnis
NASA Langley Research Center, Hampton, VA, USA
R. Palikonda
Science Systems and Applications, Inc., Hampton, VA, USA
R. Roebeling
EUMETSAT, Darmstadt, Germany
A. Thoss
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
S. Platnick
NASA Goddard Space Flight Center, Greenbelt, MD, USA
P. Watts
EUMETSAT, Darmstadt, Germany
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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