학술논문

Toward 1-km Ensemble Forecasts over Large Domains.
Document Type
Article
Source
Monthly Weather Review. Aug2017, Vol. 145 Issue 8, p2943-2969. 27p. 4 Charts, 9 Graphs, 7 Maps.
Subject
*PRECIPITATION forecasting
*CONVECTION (Meteorology)
*RAINFALL
*ATMOSPHERIC models
Language
ISSN
0027-0644
Abstract
Precipitation forecasts from convection-allowing ensembles with 3- and 1-km horizontal grid spacing were evaluated between 15 May and 15 June 2013 over central and eastern portions of the United States. Probabilistic forecasts produced from 10- and 30-member, 3-km ensembles were consistently better than forecasts from individual 1-km ensemble members. However, 10-member, 1-km probabilistic forecasts usually were best, especially over the first 12 h and at rainfall rates ≥ 5.0 mm h−1 at later times. Further object-based investigation revealed that better 1-km forecasts at heavier rainfall rates were associated with more accurate placement of mesoscale convective systems compared to 3-km forecasts. The collective results indicate promise for 1-km ensembles once computational resources can support their operational implementation. [ABSTRACT FROM AUTHOR]