ON THE NUMERICAL PREDICTION OF PRECIPITATION

J. SMAGORINSKY Numerical Weather Prediction Unit, U. S. Weather Bureau, Washington. D. C.

Search for other papers by J. SMAGORINSKY in
Current site
Google Scholar
PubMed
Close
and
G. O. COLLINS Short Range Forecast Development Section, U. S. Weather Bureau, Washington, D. C.

Search for other papers by G. O. COLLINS in
Current site
Google Scholar
PubMed
Close
Full access

Abstract

With the three-dimensional field of velocity predicted by numerical methods it is possible to predict the moisture distribution and hence the occurrence of large-scale saturation. A three-parameter model was used to predict the 12-hour precipitation for the early stages of the storms of November 24, 1950 and November 5, 1953, neglecting cloud storage, supersaturation, a possible lack of condensation nuclei, evaporation from falling droplets, and moisture sources. Large-scale orographic influences were taken into account.

A quantitative comparison of the predicted rainfall with the correspondingly large-scale smoothed observed precipitation indicates a skill comparable to that of the predicted flow. An examination of the small-scale observed rainfall indicates that in these cases convective instability resulted in large standard deviations from the large-scale average. Numerical prediction of regions of convective instability, which is also shown, could for the time being be utilized for subjective interpretation.

Present affiliation: Joint Numerical Weather Prediction Unit, Federal Office Building No. 4, Suitland, Md.

Abstract

With the three-dimensional field of velocity predicted by numerical methods it is possible to predict the moisture distribution and hence the occurrence of large-scale saturation. A three-parameter model was used to predict the 12-hour precipitation for the early stages of the storms of November 24, 1950 and November 5, 1953, neglecting cloud storage, supersaturation, a possible lack of condensation nuclei, evaporation from falling droplets, and moisture sources. Large-scale orographic influences were taken into account.

A quantitative comparison of the predicted rainfall with the correspondingly large-scale smoothed observed precipitation indicates a skill comparable to that of the predicted flow. An examination of the small-scale observed rainfall indicates that in these cases convective instability resulted in large standard deviations from the large-scale average. Numerical prediction of regions of convective instability, which is also shown, could for the time being be utilized for subjective interpretation.

Present affiliation: Joint Numerical Weather Prediction Unit, Federal Office Building No. 4, Suitland, Md.

Save