On the statistical relationship between cloud optical and microphysical characteristics and rainfall intensity for convective storms over the Mediterranean
نویسنده
چکیده
The relationship between the multi-spectral cloud field characterization from the Advanced Very High Resolution Radiometer (AVHRR) and the rainfall intensities from the Advanced Microwave Sounding Unit-module B (AMSU-B) data were studied for a convective storm event, which occurred during the first 15 days of June 2007 over the Mediterranean. The cloud products exploited in this analysis, cloud mask, type, optical thickness, and effective radius, are obtained from the NOAA-NESDIS operational processing system Clouds from the AVHRR-Extended algorithm (CLAVR-x), whereas the rain intensity values are retrieved from the AMSU-B brightness temperatures via a fast algorithm, using opaque frequencies (centred at 183 GHz) to correct for the presence of water vapour affecting the retrieval results. The algorithm is conceived to discriminate between convective and stratiform rain using a suitable set of thresholds; the retrieval is subsequently carried out separately for the two types. A test for the discrimination of precipitating from nonprecipitating areas was based on the comparison between the precipitation information and the retrieved cloud parameters. The test produced a cloud optical thickness threshold value, beyond which the precipitation initiates, and an effective radius range for the identification of the precipitating clouds. The results stemming from the application of the test to the June 2007 case study are very encouraging, although still preliminary and restricted to the analyzed Mediterranean storms. In particular, the test shows high potential for delineating non-precipitating areas (more than 90% of successful cases for every considered cloud type) and to identify precipitating ice clouds related to convective rain (confirmed by 82% of hits). On the other hand, the relative inability to address the stratiform cloud systems is proved by the fact Correspondence to: E. Cattani ([email protected]) that the majority of the missed cases, for each cloud types, is characterized by light rain intensities (≤3 mm h−1).
منابع مشابه
The DYMECS project: A statistical approach for the evaluation of convective storms in high-resolution NWP models
A new frontier in weather forecasting is emerging by operational forecast models now being run at convection-permitting resolutions at many national weather services. However, this is not a panacea; significant systematic errors remain in the character of convective storms and rainfall distributions. The DYMECS project (Dynamical and Microphysical Evolution of Convective Storms) is taking a fun...
متن کاملCombined Wind Profiler/Polarimetric Radar Studies of the Vertical Motion and Microphysical Characteristics of Convection: Darwin and Oklahoma Observations
Wind profilers offer the unique ability to directly measure vertical motion profiles through precipitating and non-precipitating cloud systems. This ability has been exploited through a series of analyses of storms near Darwin, Northern Australia, which have focused on the statistical characteristics of the vertical motion within a large number of storms as well as case studies of squall lines ...
متن کاملImpact of Cloud Model Microphysics on Passive Microwave Retrievals of Cloud Properties. Part I: Model Comparison Using EOF Analyses
The impact of model microphysics on the relationships among hydrometeor profiles, latent heating, and derived satellite microwave brightness temperatures TB have been examined using a nonhydrostatic, adaptive-grid cloud model to simulate a mesoscale convective system over water. Two microphysical schemes (each employing three-ice bulk parameterizations) were tested for two different assumptions...
متن کاملتاثیر نوع ابرهای پایین جو بر میزان دقت شبیه سازی رواناب در مدل SWAT
Introduction: Patterns of spatial and temporal rainfall impact on runoff and outlet hydrograph (Cordery, 1993; James, 1994). Results of different studies have clarified that simulation by using diverse rainfall data could increase the reliance of results. These were much more sensible in which areas encounter with data scarcity (Mello et al., 2008; Bekiaris et al., 2008). Rainfall properties in...
متن کاملAerosol relationships to warm season clouds and rainfall at monthly scales over east China: Urban land versus ocean
[1] This paper provides a prototype study on combining the advanced satellite observations of rainfall, clouds, and aerosols to examine their interrelationships. Monthly satellite observations from the Tropical Rainfall Measuring Mission (TRMM) and Moderate Resolution Imaging Spectroradiometer (MODIS) for July (2000–2005) were analyzed to assess how urban aerosols affect cloud droplet size and ...
متن کامل