2008
DOI: 10.3103/s1068373908050038
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Prognostic significance of dynamic factors of precipitation generation

Abstract: On the basis of objective analysis of meteorological fields and 12-h precipitation amounts observed at the stations in the former European USSR, statistical relationships are studied between the diagnostic characteristics of dynamic forcing of vertical motion and occurrence frequency of precipitation of different intensity ranges over the whole area and each of six separate regions. The following diagnostics are considered: frontal parameter as a measure of baroclinicity and of pressure field curvature; neutra… Show more

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Cited by 3 publications
(3 citation statements)
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“…If the latter are underestimated by the model, then, even with perfect schemes of cloud and precipitation generation, the model precipitation will be underestimated. As it has been shown in [13,14], there is a close statistical relationship between occurrence and intensity of the observed precipitation, on the one hand, and diagnostic characteristics of vertical motion forcing, on the other hand. This relationship is so close, that the mentioned characteristics become significant predictors of precipitation, especially of heavy one.…”
Section: Introductionmentioning
confidence: 55%
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“…If the latter are underestimated by the model, then, even with perfect schemes of cloud and precipitation generation, the model precipitation will be underestimated. As it has been shown in [13,14], there is a close statistical relationship between occurrence and intensity of the observed precipitation, on the one hand, and diagnostic characteristics of vertical motion forcing, on the other hand. This relationship is so close, that the mentioned characteristics become significant predictors of precipitation, especially of heavy one.…”
Section: Introductionmentioning
confidence: 55%
“…In particular, the frontal parameter F, proposed in [10][11][12], depends on humidity only through the equivalent additive in the formula, which is used for computation of baroclinicity characteristics as functions of horizontal gradient of the average equivalent temperature of the air layer. As it is shown on a large amount of real data [13], using the F parameter and the tropopause height or frontogenetic function (both these quantities do not depend on humidity) as predictors, it is possible to predict precipitation whose intensity exceeds 1 mm/12 h with virtually significant success rate (Pierce's index PI » 0.40), comparable with accuracy of numerical forecasting [1,2].…”
Section: Introductionmentioning
confidence: 96%
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