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Last modified
7/28/2009 2:32:24 PM
Creation date
4/11/2008 3:39:40 PM
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Weather Modification
Title
Application of a Simple Local-Scale Numerical Model in the Study of Altered Climate Impacts on Watershed Precipitation
Prepared By
J. G. Medina
Date
1/1/1989
State
AZ
Weather Modification - Doc Type
Report
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<br />. <br /> <br />In the case of the Delaware River watershed, <br />the orographic effect is also evident (Fig. 6), but low- <br />elevation precipitation is more prominent than in <br />Arizona. This is principally due to the particular <br />configuration of the model for Delaware conditions. <br />Study of the monthly values for individual grid points <br />and gauge locations indicated four of the grid points at <br />the highest elevations had model precipitation <br />exceeding 500 mm (20 in), which might appear <br />excessive. .However, six gauges recorded more than <br />250 mm (10 in) of precipitation and one recorded <br />399 mm (15.7 in), despite the fact that gauges were <br />generally not located at the higher elevations. <br /> <br />Given in table 1 are the results from linear <br />correlation analysis (Pearson correlation) of daily <br />mean precipitation values, where the mean of <br />11 gauge site values is developed for 29 days of <br />January for Arizona, and, similarly, the mean of <br />24 gauge site values is obtained for 31 days for the <br />Delaware. Comparisons of the monthly gauge totals <br />with the respective model results indicate the model <br />appears to have good skill as, with local soundings, it <br />underestimated gauge monthly values by 18 percent in <br />Arizona and 3 percent in the Delaware. With MM4- <br />produced soundings, the model overestimated gauge <br />values for Arizona by 2 percent. <br /> <br />Table 1. Comparison of model results with gauge <br />group mean values (in nun) <br /> <br />Monthly <br />pcp <br /> <br />Pearson <br />correlation <br /> <br />Gauges (AZ) <br />Gauges (DEL) <br />Model (AZ local <br />(soundings) <br />Model (AZ-MM4 <br />(soundings) <br />Model (DEL local <br />(soundings <br /> <br />125.5 <br />226.8 <br /> <br />102.6 <br /> <br />0.82 (N = 29) <br />0.75 (N =29) <br />0.66 (N =31) <br /> <br />128.3 <br /> <br />220.0 <br /> <br />Cor,e1ation " :dues in table 1 suggest the <br />model has useful capability to estimate daily areal <br />precipitation, as values range from 0,66 (44 percent of <br />the variance explained) for the Delaware River <br />watershed to 0.82 (67 percent of the variance <br />explained) for the Mogollon Rim. Assessment of the <br />model's capability to estimate point values is currently <br />under study. In an application of the model to the <br />Atlas Mountains of Morocco by EI Majdoub (1989), <br />correlation values ranged from 0.7 to 0.9 with monthly <br />totals at single sites, with 20-month samples. <br />Correlation values near 0.75 were obtained for several <br />sites with daily precipitation, suggesting the model has <br />useful skill at estimating point precipitation. <br /> <br />4. SUMMARY <br /> <br />A precipitation model has been separately <br />adapted for estimation of winter precipitation at <br />10-km grid points in the Delaware River watershed <br />and the Mogollon Rim of Arizona. Correlation <br />analysis suggests that the model has useful skill at <br />'~stimating daily precipitation averaged over a number <br />of points on the order of a watershed. Work is <br />continuing to assess the capability of the model to <br />I~stimate point precipitation values in the two <br />watersheds under study, <br /> <br />Individual model runs take little computer <br />time, particularly on 33-MHz microcomputers or a <br />Icomparable machine. The model's capability to <br />estimate precipitation over a watershed, when <br />initialized from regional-scale model output, suggests <br />that it may be a useful tool in the study of global <br />climate change effects at the local level. Eventually, <br />initialization of the precipitation model will be <br />attempted with soundings interpolated from GCM <br />runs that simulate doubled-C02 conditions. <br /> <br />5. ACKNOWLEDGMENTS <br /> <br />This study was supported in part through an <br />Intergovernmental Agreement with the State of <br />Arizona, Department of Water Resources, and in <br />cooperation with the Geological Survey, Delaware <br />River Basin Climate Change Project. Data from the <br />MM4 regional model runs were obtained from <br />Filippo Giorgi and Gary Bates of the National Center <br />for Atmospheric Research. Arnett Dennis and <br />David Matthews of the Bureau of Reclamation <br />provided assistance in the manipulation of the MM4 <br />sounding data. <br /> <br />6. REFERENCES <br /> <br />Anthes, R. A., 1977: A cumulus parameterization <br />scheme utilizing a one-dimensional cloud model. <br />Mon. Wea. Rev., 105, pp. 270-286. <br /> <br />, and T. T. Warner, 1978: Development <br />of hydrodynamical models suitable for air pollution <br />and other mesometeorological studies. Mon. Wea. <br />Rev., 106, pp. 1045-1078. <br /> <br />, E. Y. Hsie, and y, H. Kuo, 1987: <br />Description of the Penn State/NCAR Mesoscale <br />Model Version 4 (MM4). NCAR Technical Note, <br />NCAR/TN-282 + STR. National Center for <br />Atmospheric Research, Boulder, Colorado, 66 pp. <br /> <br />Deardorff, J. W., 1972: Parameterization of the <br />planetary boundary layer for use in general circulation <br />models. Mon. Wea. Rev., 100, pp. 93-106. <br />
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