Articles | Volume 2
Adv. Geosci., 2, 195–199, 2005
Adv. Geosci., 2, 195–199, 2005

  07 May 2005

07 May 2005

Comparing microphysical/dynamical outputs by different cloud resolving models: impact on passive microwave precipitation retrieval from satellite

C. M. Medaglia1, C. Adamo1, F. Baordo1, S. Dietrich1, S. Di Michele2,1, V. Kotroni3, K. Lagouvardos3, A. Mugnai1, S. Pinori1, E. A. Smith4, and G. J. Tripoli5 C. M. Medaglia et al.
  • 1Istituto di Scienze dell’Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, Roma, Italy
  • 2European Centre for Medium-Range Weather Forecasts, Reading, UK
  • 3Institute of Environmental Research, National Observatory of Athens, Athens, Greece
  • 4Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, Maryland, USA
  • 5Department of Atmospheric and Oceanic Sciences, University of Wisconsin, Madison, Wisconsin, USA

Abstract. Mesoscale cloud resolving models (CRM's) are often utilized to generate consistent descriptions of the microphysical structure of precipitating clouds, which are then used by physically-based algorithms for retrieving precipitation from satellite-borne microwave radiometers. However, in principle, the simulated upwelling brightness temperatures (TB's) and derived precipitation retrievals generated by means of different CRM's with different microphysical assumptions, may be significantly different even when the models simulate well the storm dynamical and rainfall characteristics.

In this paper, we investigate this issue for two well-known models having different treatment of the bulk microphysics, i.e. the UW-NMS and the MM5. To this end, the models are used to simulate the same 24-26 November 2002 flood-producing storm over northern Italy. The model outputs that best reproduce the structure of the storm, as it was observed by the Advanced Microwave Scanning Radiometer (AMSR) onboard the EOS-Aqua satellite, have been used in order to compute the upwelling TB's. Then, these TB's have been utilized for retrieving the precipitation fields from the AMSR observations. Finally, these results are compared in order to provide an indication of the CRM-effect on precipitation retrieval.