Evaluation of cloud thermodynamic phase parametrizations in the LMDZ GCM by using POLDER satellite data

Details Evaluation of cloud thermodynamic phase parametrizations in the LMDZ GCM by using POLDER satellite data Evaluation of cloud thermodynamic phase parametrizations in the LMDZ GCM by using POLDER satellite data

Mar 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3106126d&link_type=abstract

Geophysical Research Letters, Volume 31, Issue 6, CiteID L06126

Physics

6

Atmospheric Composition And Structure: Cloud Physics And Chemistry, Atmospheric Composition And Structure: Pressure, Density, And Temperature, Meteorology And Atmospheric Dynamics: Remote Sensing

Scientific paper

Realistic simulations of clouds are of uppermost importance for climate modelling using general circulation models. Satellite data are well suited to evaluate model parametrizations. In this study we use the Laboratoire de Météorologie Dynamique general circulation model (LMDZ). We evaluate the current LMDZ cloud phase parametrization, in which the repartition of condensed cloud water between liquid and ice is a function of the local temperature. Three parameters are used to derive a relation between liquid cloud water content and temperature, two of which are not physically based. We use the POLDER-1 satellite data to infer more realistic parameters by establishing statistical relationships between cloud top thermodynamical phase and cloud top temperature, consistently in both satellite data and model results. We then perform a multitude of short model integrations and derive a best estimate for the lowest local temperature where liquid water can exist in a cloud (Tice = -32°C in our parametrization). The other parameter which describes the shape of the transition between ice and liquid water is also estimated. A longer simulation has then been performed with the new parameters, resulting in an improvement in the representation of the shortwave cloud radiative forcing.

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