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<br />90 day period in 1973. Results indicated that convergence fields <br />formed in the vicinity of precipitation up to 1.5 h before the <br />precipitation events. Moisture convergence measured in the surface <br />network was one of the most crucial factors in determining the total <br />amount of rainfall produced by a given storm. The storm intensity as <br />measured by rainfall was also directly proportional to the horizontal <br />gradients and area covered by surface convergence. The surface <br />convergence and divergence fields of smaller systems nearly achieved <br />mass balance. However, larger storms had lnw-level convergence in <br />excess of local divergence, suggesting that to achieve mass balance <br />there must be net upper-level divergence. The maximum convergence <br />observed was 1.2 x 10-3/s corresponding to nearly 65 cm/s vertical <br />motion. Both the area and magnitude of surface convergence were <br />proportional to observed precipitation. <br /> <br />Doneaud et ale (1981) found that objectively analyzed surface <br />convergence fields, observed by the mesoscale network at the Montana <br />HIPLEX field site, were important mesoscale triggers and controls of <br />convective precipitation. He found large temporal variations in the <br />variance of the divergence field which was related to rainfall. <br /> <br />Similar analyses by Watson et ale (1981) showed that mesoscale <br />surface winds and moisture fields could be used to predict convective <br />rainfall in south Florida with a 0.5 to 2 h lead time. Barnes and <br />Garstang (1982) have shown that traveling tropical convective systems <br />were more efficient than stationary systems because they were able to <br />use fresh supplies of higher energy PBL air. Stationary systems tend <br />to feed upon their own cool, dry outflow. <br /> <br />29 <br />