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Weather Modification
Title
Regional Model Simulation of an Extreme Precipitation Event in the Colorado River Basin
Date
1/5/1992
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Report
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<br />Pt~se,ted at the Third AMS Symposium on Global Change Studies, <br />_. ~Iluary 5.10, 1992, AtIaDta, GA. <br />~ <br /> <br />REGIONAl; MODEL SIMULATION OF AN EXTREME <br />PRECIPITATION EVENT IN THE COLORADO RIVER BASIN <br /> <br />by <br /> <br />David Matthews <br />U. S. Bureau of Reclamation, <br />P. O. Box 25007, Denver CO 80225 <br /> <br />and <br />Filippo Giorgi and Gary Bates <br />National Center for Atmospheric Research1, Boulder CO 80301 <br /> <br />1. INTRODUCTION <br /> <br />The Global Climate Change Response Program <br />(GCCRP) of the U. S. Bureau of Reclamation (Reclamation) <br />is concerned with the possible impacts of global climate <br />change upon precipitation, evapotranspiration, and <br />streamflow in the Western United States. Dennis (1991) <br />has described Reclamation's strategy to develop scenarios of <br />precipitation under changed climate. Matthews et al. (1991) <br />described initial efforts to link: a regional climate model to a <br />local-scale precipitation model (Medina 1991). Our paper <br />presents an examination of conditions that produced <br />unusually heavy precipitation in the Colorado River Basin <br />during the spring of 1983, which produced one of the largest <br />flows of record and was associated with an unusually strong <br />El Nino event described by Shea et al. (1991). Meehl <br />(1990) described a general circulation model's (GCM's) <br />ability to simulate the seasonal cycle forcing of the El Nino <br />in a global-coupled ocean-atmosphere model. Recent <br />experiments by Meehl et al. (1992) using this model indicate <br />that the El Nino-Southern Oscillation (ENSO) phenomenon <br />continues to function in doubled-C02 model simulations. <br />The goal of this study is to evaluate a regional model's <br />ability to simulate the mesosynoptic and long-wave features <br />that contributed to the 1983 extreme event, which may be <br />identifiable in future climate simulations. These features <br />may be used to describe the frequency and relative intensity <br />of such extreme events in. altered climate conditions as <br />estimated from doubled-C02 GCM simulations. <br />Reclamation's interest focuses on the linkage between large- <br />scale GCMs used in global climate simulations and a simple <br />local-scale precipitation model described by Medina (1991) <br />and Rhea (1977). Such a nested system could provide <br />objective quantitative distributions of precipitation from <br />altered climate conditions over individual watersheds that <br />affect Reclamation reservoirs, hydroelectric power and <br />irrigation systems. <br /> <br />This paper provides a brief report on the initial <br />efforts to determine the feasibility of using the nested <br />regional model outputs to describe regional controls of <br />precipitation in an extreme. seasonal event. The regional <br />structure of storms and its effect on precipitation is described <br />for the Colorado River Basin focusing on the upper reaches <br />of the Gunnison River in the Colorado Rocky Mountains. <br /> <br />2. REGIONAL MODELING FRAMEWORK <br /> <br />the NCAR 'CCM to provide the large-scale circulation <br />response to global climate f~rcing. Then the regional-sc3;le <br />MM4 model is used to descnbe the effect of sub-GCM gnd <br />scale forcing over a specific region. This forcing includes <br />the effects of complex topography, large bodies of water and <br />surface vegetation characteristics that may significantly affect <br />local climates. <br /> <br />The standard MM4 model is described in Anthes et <br />al. (1987); however, in this study we have ~sed.results from <br />the augmented version described by Giorgi and Bates <br />(1989). The augmented version of the MM4 model includes <br />an improved sophisticated surface physics-~oil hydrology <br />package, an explicit bound~ .layer formul~lon, and a more <br />detailed treatment of radiative transfer in place of the <br />corresponding standard MM4 formul~tion~. '~e model.is a <br />compressible and hydrostatic model Wlth pnrmttve eq~attons <br />written in terrain-varying sigma (s)-vertlcal coordmates, <br />where S=(P-PI)/P" P'=P. - PI , p. is the surface pressure <br />and PI is the pressure at the top of the model. The MM4 <br />model design and characteristics are dis(:ussed in two <br />previous papers in this section, Giorgi et ~., (1992), ~ates <br />and Giorll:i, (1992); therefore, the model is not descnbed <br />further here. <br /> <br />In order to evaluate the MM4 performlUlcc, especially <br />with respect to regional orographic precipitation, the model <br />was run with European Center for Medium Range Forecast's <br />(ECMWF) large-scale analysis of data from January 1982 - <br />December 1983. The ECMWF analysis was used as initial <br />and lateral boundary conditions for MM4. It had a temporal <br />resolution of 12 hours and a spatial resolution of 2.80 latitude <br />and longitude. The MM4 model domain is centered over <br />the Great Basin at 400 N and 1160 W with a size of 3300 x <br />3000 lan, having a horizontal grid spacing of 60 Ian and 15 <br />sigma-levels in the simulations presented here. Figure 1 <br />shows the topography used in the model in these <br />simulations. Giorgi et al. (1992) describe the details of the <br />MM4 simulations for January 1982-December 1983 and <br />January 1988-April 1989, which are used in this paper. <br />They show that the MM4's predictions, of regional <br />wintenime precipitation and hydrologic. bu~gets were quite <br />realistic from the perspective of a synoptic climatology. <br /> <br />The next section shows two examples of regional <br />features analyzed by MM4 which controlled the intensity, <br />duration and location of precipitation during the spring of <br />1983. These features were clearly defined and provide a <br />basis for confidence in MM4's ability to simulate regional aspects of future climate. <br /> <br />Recently, the climate modeling team at NCAR has <br />succeeded in nesting the Pennsylvania State <br />University/NCAR Mesoscale Model (MM4) into the NCAR <br />Community Climate Model (CCM) for regional climate <br />simulations. The first stages of developing the nested model <br />system are described by Dickinson et al. (1989), Giorgi et <br />al. (1989), Giorgi and Bates (1989) and Giorgi (1990). <br />The one-way nested technique uses the GCM results from <br /> <br />1 The National Center for Atmospheric Research is sponsored by the U. S. A. National Science Foundation <br /> <br />1 <br />
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