Summary: Investigating the Radiative Impact Clouds Using Retrieved
Properties to Classify Cloud Type
, Robin J. Hogana
and Richard P. Allanb
Department of Meteorology, University of Reading, PO Box 243, Reading, RG6 6BB, UK
Envirnmental Systems Science Centre, Harry Pitt Building, University of Reading, RG6 6AL, UK
Abstract. Active remote sensing allows cloud properties such as ice and liquid water contents and vertical structure to be
retrieved. The 2-stream version of the Edwards and Slingo radiative transfer scheme is used, with cloud retrievals and
Numerical Weather Prediction (NWP) simulations of thermodynamic profiles, to simulate radiative fluxes throughout an
atmospheric profile. These are verified against observed broadband fluxes at the top of the atmosphere, using
Geostationary Earth Radiation Budget (GERB) on Meteosat 8, and at the surface, using the mid-latitude Baseline Surface
Radiation Network (BSRN) site in Lindenberg, Germany. Retrieved cloud properties from Lindenberg are used to
categorize the results with respect to cloud type, to understand the radiative impact of clouds. Observed cloud profiles are
compared to cloud predictions by the ECMWF model and categorized by the same method to understand and quantify the
radiative impact of errors in the representation of ice cloud particles.
Keywords: Active remote sensing, Cloud categorization, Cloud properties, Radiative impact.
PACS: 92.60. Vb.