Articles | Volume 7, issue 9
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, A. Walther, B. Baum, R. Bennartz, L. Bugliaro, M. Derrien, P. N. Francis, A. Heidinger, S. Joro, A. Kniffka, H. Le Gléau, M. Lockhoff, H.-J. Lutz, J. F. Meirink, P. Minnis, R. Palikonda, R. Roebeling, A. Thoss, S. Platnick, P. Watts, and G. Wind

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Cited articles

Avery, M., Winker, D., Heymsfield, A., Vaughan, M., Young, S., Hu, Y., and Trepte, C.: Cloud ice water content retrieved from the CALIOP space-based lidar, Geophys. Res. Lett., 39, L05808,, 2012.
Baum, B. A. and Wielicki, B. A.: Cirrus cloud retrieval using infrared sounding data: Multilevel cloud errors, J. Appl. Meteorol., 33, 107–117, 1994.
Baum, B., Heymsfield, A., Yang, P., and Bedka, S.: Bulk scattering models for the remote sensing of ice clouds. Part 1: Microphysical data and models, J. Appl. Meteorol., 44, 1885–1895, 2005.
Baum, B., Yang, P., Heymsfield, A., Platnick, S., King, M., Hu, Y.-X., and Bedka, S.: Bulk scattering models for the remote sensing of ice clouds. Part 2: Narrowband models, J. Appl. Meteorol., 44, 1896–1911, 2005.
Baum, B., Yang, P., Nasiri, S., Heidinger, A., Heymsfield, A., and Li, J.: Bulk scattering properties for the remote sensing of ice clouds. Part 3: High resolution spectral models from 100 to 3250 cm-1, J. Appl. Meteorol., 46, 423–434, 2007.