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<br />--~ ,- ~ <br /> <br />daily and monthly mean of 14 gauges located in or near the watershed <br />with corresponding values simulated by the nested models. Of particular <br />interest to this study were results from modeling with the MM4 <br />soundings. <br /> <br />Correlation analysis indicates ~t:.hat the model has useful <br />application (correlation of 0.64) in estimating winter daily watershed <br />precipitation when local soundings are employed. However, when MM4 <br />generated soundings are employed, the nested models appear unable to <br />simulate daily precipitation, but can sinrolate winter monthly totals at <br />a useful level(correlation of 0.71). <br /> <br />A comparison of probability plots of: the gauge daily values versus <br />the corresponding simulated values indicates that the nested modeling <br />approach yields similar distributions except at. zero and small <br />precipitation amounts. The LSPM is not able to properly simulate <br />precipitation from low shallow moist clouds. Work is ongoing to improve <br />this model feature. <br /> <br />In summary, the nested models approa.ch, with the MM4 model and the <br />LSPM, can produce daily and monthly precipitation estimates that should <br />be useful for climate studies, and perha.ps, some operational needs in <br />the case of the LSPM initialized with locaLl soundings. When initialized <br />with MM4 generated soundings, the LSPM should function as a useful tool <br />in the study of global climate change effects at the watershed level. <br />In the near future, the LSPM will be run with MM4 soundings in whichMM4 <br />is initialized with GCM output from a lon9-term base run and a companion <br />doubled-C02 run. A thorough study of I1lested model error growth and <br />propagation remains to be accomplished. <br /> <br />ACKNOWLEDGMENTS <br /> <br />This study was conducted as part of' Reclamation's Global Climate <br />Change Response Program. Owen Rhea assis.t:.ed in developing the Colorado <br />terrain profiles. Dave Matthews assisted in MM4 sounding p~eparation <br />and Flippo Giorgi and Gary Bates supplied MM4 run information developed <br />using the computing facilities of NCAR (sponsored by the National <br />Science Foundation). Karen Morris and Ra Aman provided some computer <br />programming support. <br /> <br />REFERENCES <br /> <br />Anthes, R. A., 1977. A Cumulus Parameterization Scheme utilizing a One- <br />dimensional Cloud Model. Mon. Wea. Rev., lOS, pp. 270-286. <br />Anthes, R. A., and T. T. Warner, 1978. Development of Hydrodynamical <br />Models Suitable for Air Pollution and Other Mesometeorological <br />Studies. Mon. Wea. Rev., 106, pp. 1045-1078. <br />Anthes, R. A., E. Y. Hsie, and Y. H. Kuo, 1987. Description of the Penn <br />State/NCAR Mesoscale Model Version 4 (MM4). NCAR Technical Note, <br />NCAR/TN-282 + STR, National Center for l\tmospheric Research, Boulder, <br />Colorado, 66 pp. <br />Giorgi, F. , and G. T. Bates, 1989 . The Climatological Skill of a <br />Regional Model Over Complex Terrain. Mon. Wea. Rev., 117, pp. 2325- <br />2347. <br />