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<br />ABBS: INVESTIGATION OF PROBABLE MAXIMUM PRECIPITATION ASSUMPTIONS <br /> <br />tion for these simulations also illustrates that changes in the <br />moisture field feeds back to the dynamics by affecting both the <br />intensity and movement of the storm. <br />.. Despite these deficiencies in the assumptions used to esti- <br />mate PMP we bliievc that there is no operational replacement <br />available at present for the current PM P methodology, How- <br />ever, improvements in Ihe estimation of PMP may soon be <br />possible if increased effort is placed on (amongst other things) <br />the numerical modeling of extreme rainfall t:vcnts. These im- <br />provements are only possible if the results of these efforts are <br />communicated to the hydrological community. <br /> <br />4.3. Unanswered Questions and Problems <br /> <br />The method used in this study to increase the moisture fields <br />was adopted since it theoretically had the advantage of allow- <br />ing us to increase the surface dewpoint temperature of the <br />enhanced moisture simulations to values that were higher than <br />the surface temperature of the original precipitation event. In <br />addition, this method allowed us to retain a similar vertical <br />moisture profile to that of the original event, ratber than grad- <br />ually approaching an' atrnosphere that is saturated throughout <br />its depth. Other method, of maximizing the moisture availabil- <br />ity should be investigated to determine if the conclusions <br />reached in nur study are met. For example, 21'"0 et al. [1997] <br />increase the specific humidity thrQogh the depth of the atmo- <br />sphere to cbange the precipitable water. Their method, com- <br />bined with that used here, may allow a wider range of maxi. <br />mization factors, and higher values, to be tested. <br />As computing capabilities increase, it will become possible <br />to model extreme storm~ at increasingly higher resolution. The <br />advances in computing hardware make it possible to examine <br />if further increasing the horizontal resolutimruf the simulated <br />sturms changes the above conclusions. <br />The natural extension of this project is to use the model- <br />predicted precipitation fields to provide an obsetved precipi- <br />tation field and then subject them to the analysis given to the <br />extreme storms that constitute the GSAM database. After the <br />application of identical maximization factors the results of the <br />maximized storm should be compared with that of the equiv- <br />alent simulated "increased moisture" storm. <br />We believe that it is becoming feasible to perform simula- <br />tions of a greater number of these events and to provide skillful <br />quantitative precipitation forecasts of them. By utilizing a <br />"team approach" in which hydrometeorologists and meteoro- <br />logical modelers work together it is now possible to use me. <br />soscale numerical models as tools for hydrological planning. <br /> <br />i <br />I <br />I <br />I <br />I <br />I <br />i <br />i <br />. <br /> <br />i <br /> <br />Acknowledgments. Thi~ project was initiated by the past Chief of <br />the CSIRO Atmospheric Research, B. Tucker, and 13. Ryan. In addi- <br />tion to the financial support fmm UWRAA research project WR-22, <br />the project IUls been suppt)rted hy a numher uf intJivitJuals antJ orga- <br />nizations. II Collon alltJ R. Piclke kintJJy provitJetJ the mudel ctltJe for <br />RAMS, tJr.:velopetJ at ColoratJo Stalt.; Univr.:rsity under thr.: support of <br />Ihr.: U.S. National Sdence FountJation and thr.: Army Research Oflke. <br />The Sydney Water Curpori.llion pruvitJetJ the PMP estimates for the <br />Warragamha Dam antJ H<iwkesbury-Nepean Ci.ltchments. The NSW <br />Department of Public Works and Services providr.:tJ the PMP estimates <br />for the catchments of the Oheron and Chiftey Dam. The terrain data <br />were supplietJ by the AUstralian SUlVeying and LantJ Infllrnmtion <br />Group. Meteorological data were supplied by the Bureau of Meteo- <br />rulogy. S. Lee and A Stephens provitJed computing support for por- <br />tions of the projecl. Discl.lssion with L. Minty frum the Hydrology <br />Branch at the Bureau of Meteurology were very helpful in developing <br />our understanding of the CUrrent PMP methodology. The project also <br /> <br />795 <br /> <br />benefited greatly from the suggestions and advice of the project ref- <br />erence pand formed in October 1995. <br /> <br />References <br /> <br />Abbs, D. J., ami J. B. Jensen, Numerical modding of urngmphici.llly <br />forceLl post-frontul rain, Mem. WCI/lher RCI'., 121, IX9-2U6, 1992. <br />Abhs, D. J., <1111.1 S. II. Lee, The use of RAMS as a toul fur quantit;.ltive <br />precipituti\Jl1 forecasting, paper prescllted ill ThirLl RAMS Us..:rs' <br />Workshop, Echw.:a, Vil.:turia, Australia, July 1(1-12, 1997. <br />Abhs, D. J., and B. F. Ryan, Num..:rical moddling of extn:mc prl'cip~ <br />itation, Rep. /3/,71 pr., Urhan Watcr Rcs. 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