- 1Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
- 2Laboratoire de Météorologie Physique, Université Clermont Auvergne, CNRS, Clermont-Ferrand, France
- 3Laboratoire Atmosphères, Milieux, Observations Spatiales/UVSQ/CNRS/UPMC, Guyancourt, France
- 4Laboratoire d’Aérologie, Université de Toulouse, CNRS, UPS, IRD, Toulouse, France
As part of the NWCSAF project (Nowcasting Satellite Application Facility), the CNRM participates in the retrieval of cloud properties from geostationary satellite observations. These retrievals include the Cloud Mask and Cloud Types classification, thermodynamics properties at the macroscopic scales (Cloud Top Temperature and Height) as well as microphysical cloud properties (effective radius, optical thickness, liquid and ice water path). Radiative transfer simulations are mandatory to retrieve these properties. In this study, I performed simulations of observations from the Meteosat Second Generation satellite based on in-situ measurements taken on board an airborne campaign and mesoscale models using the radiative transfer model RTTOV.In order to compare the differences between simulation and observations for the case of ice clouds formed by deep convective systems, in the infrared and visible. Then discuss the sensitivity of the simulations to the physical and optical properties of the clouds, for example, how a misrepresentation of the ice water content at the top of clouds can be highlighted using simulations.
How to cite: Joseph, R., Fontaine, E., Schwarzenboeck, A., Delanoe, J., Kerdraon, G., Le Bastard, T., Gonthier, H., Tulet, P., Barthe, C., and Vidot, J.: Simulation of satellite observations with RTTOV for ice clouds from deep convection using in-situ observations and a mesoscale model, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4385, https://doi.org/10.5194/egusphere-egu25-4385, 2025.