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<br />1610 <br /> <br />MONTHLY WEATHER REVIEW <br /> <br />VOLUME 112 <br /> <br />50 <br /> <br />NDCMP, SUMMER 1981 BOWMAN AND PARSHALL DATA <br /> <br />40 <br />~ <br />~ <br /> <br /> <br />> <br />o <br />z <br />W 30 <br />::l <br />" <br />W <br />a: <br />LL <br />W20 <br />> <br />i= <br /><( <br />...J <br />W <br />a: <br />10 <br /> <br />....... <br />....... <br /> <br />o <br />1 <br /> <br />-GROWING PERIOD <br />- -DECAYING PERIOD <br />284 CLUSTERS <br /> <br />~. . <br /> <br />9 13 17 <br />AVERAGE RAIN RATE (mm hr-t) <br /> <br />'- <br /> <br />FiG. 7. The relative frequency distributions of R for growing and decaying periods. <br /> <br />accuracy improves as integrations are made over <br />larger areas and over time periods approaching the <br />storm lifetime. In the Quadra data, where R was <br />computed by averaging over a long period of time, <br />there is no evidence that RERV versus ATI correla- <br />tions become higher if the averaging time interval <br />approaches the storm lifetime; however, there is <br />an increase of the correlation coefficient from 0.91 <br />to 0.94 when the cell duration increases from 4 to <br />10 h. <br />A multiple linear regression analysis was performed <br />using the 1981 Bowman data consisting of 587 clus- <br />ters. The maximum radar-estimated rain volume <br />(MRERV) on an individual scan basis, the maximum <br />area (MAREA), the maximum reflectivity (ZMX), <br />and the maximum echo height (MEH) versus RER V <br /> <br />(for the lifetime of the duster), shows that the corre- <br />lation coefficient with MRERV is the highest (0.97), <br />followed by MAREA (0.95), ZMX (0.82) and MEH <br />(0.68). These results suggest that the total rain volume <br />of a storm may be estimated at its maximum stage <br />of development. The rain volume prediction equation <br />based on the North Dakota data can be written. <br /> <br />log(RERV) = 0.67(MRERV) <br />+ 0.47(MAREA25) - O.l(MEH) - 0.27. (4) <br /> <br />We recognize the problem of identifying a storm's <br />maximum stage of development in real time, and do <br />not suggest this idea as the answer to short-term <br />rainfall prediction. Such studies may result in im- , <br />proving objective schemes for estimating storm rain <br /> <br />'.., <br /> <br />TABLE 3. RERV versus area-time correlations for different time increments using Bowman 1981 NDCMP and GATE data. <br /> <br />.' <br /> <br /> NDCMP radar Quadra" radar <br />Time increments (h) LTb 1/6" 2 4 2 4 10 <br />Number of cluster <br />sequences 507 2609 472 131 18 328 146 59 15 <br />Correlation coefficients 0.98 0.94 0.96 0.97 0.94 0.91 0.91 0.91 0.94 <br />Standard error of <br />estimates .0.14 0.20 0.15 0.16 0.18 <br /> <br />" Canadian Coast Guard ship, part of QA TE (Lovejoy and Austin, 1979). <br />b Lifetime of cluster. ' <br />e Scan-by-scan. <br />