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<br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />-"'!: <br /> <br />APPENDIX ill <br /> <br />Summary of Assumptions <br /> <br />These calculations were based on the assumption that a <br />steady-state, single tower model could accurately predict <br />the entire flux 01; moisture .through a cumulonimbus cloud. In <br />actuality the cumulonimbus cloud is not in steady-state, but <br />rather a dynamic, changing series of states; fUrther, a sin- <br />gle tower is. more.likely to be composed of several drafts in <br />varying stages of growth or decay rather than being composed <br />of a single draft with a constant upward velocity. The up- <br />draft area, speed, and cloud efficiency themselv~s may all <br />vary in time end space. updraft areas or 172 !an , updraft <br />velocities or over 30 mlsec, and erriciencies (based on cloud <br />base rlux calculations) in excess or 90~ have been reported. <br />The rlux calculations, which were based on a six hour <br />average basis allow ror wide variations or the above para- <br />meters, -chereDi permitting intense "ra:!.ngushes," as long as a <br />precipitation lull during some other time in the storm lire can <br />compensate ror the rai. ngush. '!his type or sporadic behavior is <br />typical or large convective storms. The areal precipitation <br />coverage calculated by the model is reas::>nable. Although the <br />drafts are not continuous in time or space one may say that on <br />the average, each draft will contribute an equal share to the <br />precipitation. At worst, this assumption would overestimate <br />the areal extent, but it would not afrect the rlux calculation. <br /> <br />" <br />