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Weather Modification
Title
Modeling Regional Controls of Watershed Precipitation for Climate Change Studies
Date
1/13/1991
Weather Modification - Doc Type
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<br />" <br /> <br />~;I\p. SecoocI Sympwium oa OloW au.,. ..... <br />71" AMS Aaaaal MMciD&. IIDUUJ 1),.1, 199.. New 0dMM. Loallll- <br /> <br />}/ <br /> <br />rt <br /> <br />MODEUNG REGIONAL CONTROLS OF WATERSHED PRECIPITATION <br />FOR CUMA TE CHANGE sruDlES <br /> <br />David Matthews <br />U.S. Bureau of Reclamation <br />P. O. Box 25007, Denver CO 80225 <br /> <br />Filippo Giorgi and Gary Bates <br />National Center for Atmospheric Research, I Boulder CO 80307 <br /> <br />1. INTRODUcnON <br /> <br />The Global Oimate Change Response <br />Program (GCCRP) of the U.S. Bureau of Reclamation <br />(Reclamation) is concerned with the possible impacts <br />of global climate change upon precipitation, <br />evapotranspiration, and streamflow in the Western <br />United States. Dennis (1991) has described in a <br />companion paper Reclamation's strategy to develop <br />scenarios of precipitation under changed climate <br />conditions. This paper presents initial results from <br />Reclamation's GCCRP climate modeling studies. It <br />focuses on collaborative efforts to linlc large-scale <br />general circulation models (GCMs) used in global <br />climate simulations at the National Center for <br />Atmospheric Research (NCAR) to a simple local-scale <br />precipitation model described in a companion paper <br />by Medina (1991). <br /> <br />Current GCMs have resolutions of 300 to <br />600 kIn. They represent the region from the Sierra <br />Nevada to the Rocky Mountains as one broad ridge; <br />therefore, they cannot adequately simulate <br />precipitation patterns over the Western United States. <br />This problem is caused by limitations in computational <br />resources that restrict the dimensions of the GCM <br />grid, which does not resolve Ioc:al forcing patterns. <br />Computational restrictions also limit the <br />representation of physical processes that occur on <br />different spatial and temporal scales. It. may be many <br />years until high-resolution GCM simulations become <br />feasible. Therefore, to improve the simulation, a <br />system of nested models is being developed at NCAR <br />using supercomputer technology. Recently. the <br />climate modeling team at NCAR has succeeded in <br />nesting the Pennsylvania State University/NCAR <br />Mesoscale Model (MM4) into the NCAR Community <br />Climate Model (CCM) for regional climate <br />simulations. The first stages of developing the nested <br />model system are described by Dickinson et al. (1989), <br />Giorgi and Bates (1989), and Giorgi (1990). The one- <br />way nested technique uses the GCM results from the <br />NCAR CCM to provide the large-scale circulation <br />response to global climate forcing. Then the regional- <br />scale MM4 model is used to describe the effect of sub- <br />GCM grid scale forcing over a specific region. This <br />forcing includes the effects of complex topography. <br /> <br />I The National Center for Atmospheric Research is <br />sponsored by the U.s.A. National Science Foundation. <br /> <br />large bodies of water. and surface vegetation <br />characteristics that may significantly affect local <br />climates. Reclamation will then use output from the <br />regional simulations to initialize a local-scale <br />precipitation model. <br /> <br />This paper provides a brief report on the <br />initial efforts to determine the feasibility of using the <br />nested MM4 model outputs to describe regional <br />controls of precipitation over specific basins. The <br />regional structure of storms and its effect on regional <br />precipitation is described for the Verde and Salt River <br />basins of Arizona. Local-sca1e precipitation model <br />results from MM4-derived soundings are dc:scribed <br />separately by Medina (1991). <br /> <br />2 REGIONAL MODEUNG FRAMEWORK <br /> <br />The two models used in the nested modeling <br />system have been thoroughly tested and widely used <br />for more than 10 years. The NCAR CCMl model <br />(Williamson et al. 1987) uses a grid of 4S:17S <br />(R15 spectral truncation) latitude-longitude resolution. <br />The standard MM4 model is described in Anthes el al. <br />(1987); however, in this study we have used results <br />from the augmented version descn"bed by Giorgi and <br />Bates (1989). The augmented version of the MM4 <br />model includes an improved sophisticated surface <br />physics-soil hydrology package, an explicit boundary <br />layer formulation, and a more detailed treatment of <br />radiative transfer in place of the corresponding <br />standard MM4 formulations. The model is a. <br />compressible and hydrostatic model with primitive <br />equations written in terrain-varying sigma (a)-vertical <br />coordinates, where" = (P-pJ/p., p. = P,-PI' P, is <br />the surface pressure, and PI is the pressure at the top <br />of the model. <br /> <br />The improved surface physics-hydrology <br />package included in the augmented version ()f MM4 is <br />known as the Biosphere Atmosphere Transfc:r Scheme <br />(BATS). It was developed by NCAR and university <br />collaborators and is descnbed by Dickinson (1984), <br />Dickinson et al. (1986). and Wilson et al. (1987). It <br />includes processes of sensible heat. water vapor and <br />momentum fluxes at the surface, evapotranspiration, <br />and soil hydrology. The soil hydrology calculations <br />account for precipitation, snowmelt, canopy f,~liage <br />drip, evapotranspiration, surface runoff, infiltration <br />below the root zone, and diffusive exchange of water <br />between soil layers. The augmented MM4 also <br />
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