David L. MitchellAssociate Research Professor
Email: Dave.Mitchell@dri.edu
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PROFESSIONAL INTERESTS:
Dr. Mitchell's research has focused on the following areas: (1) theoretical understanding and modeling of the microphysical evolution within cirrus and frontal clouds, especially with regard to particle size spectra and ice production; (2) understanding and modeling the radiative properties of ice clouds; (3) satellite remote sensing of cloud properties; (4) understanding and predicting the onset, strength and extent of the Mexican monsoon. Accomplishments regarding (1) include the development of two models successfully predicting the evolution of ice particle size spectra. The input for one model consists of the ice water content and temperature profiles, while the other is driven by changes in super-saturation. These models are computationally efficient, utilizing analytical solutions for ice particle growth by vapor diffusion and aggregation. Regarding (2), the optical properties of ice clouds have been successfully described by parameterizing the absorption and scattering processes and rigorously treating their dependence on cloud microphysics. This treatment, the Modified Anomalous Diffraction Approximation (MADA), was formulated in terms of the size distribution and ice particle shape, and agrees with explicit electrodynamic solutions of ice crystal single scattering properties within 15%. These developments, along with parameterizing the asymmetry parameter for various crystal shapes, have lead to a new treatment of ice cloud radiative properties which is used in (i) the GCM and operational forecast model at the Hadley Centre/U.K. Meteorological Office, (ii) in the new NCAR GCM (CCSM4), (iii) in the Colorado State University GCM, (iv) in the Regional Atmospheric Modeling System (RAMS) at CIRES, and (v) in the Rapid Radiation Transfer Model (RRTM) at Atmospheric and Environmental Research (AER), Inc. Regarding (3), a new method for estimating the amount of ice contained in clouds (i.e. the ice water path, or IWP) from satellite- or ground-based platforms has been developed, based on the heat emitted by the earth at discrete wavelengths. The method considers the details of the size distribution and ice particle shape and delivers IWP estimates accurate to within ± 15%. Regarding (4), a new approach to understanding the Mexican monsoon has been pursued in terms of sea surface temperatures (SSTs) in the eastern tropical Pacific and the Gulf of California . Results from six monsoon seasons show that relatively heavy rainfall in Arizona commences once the SST in the northern Gulf of California exceeds 29°C. Moreover, ten years of satellite altimeter observations of sea surface height in the eastern tropical Pacific indicate this threshold SST can be predicted 1-2 months in advance. Together these relationships provide a means of predicting the Arizona onset of the North American monsoon 1-2 months in advance.RESEARCH AREAS:
SELECTED PUBLICATIONS:
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| Division of Atmospheric Sciences Desert Research Institute 2215 Raggio Parkway Reno, NV 89512-1095 Tel: 775-674-7039 Email: Dave.Mitchell@dri.edu |