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contributor authorSchwartz, Craig S.
contributor authorRomine, Glen S.
contributor authorFossell, Kathryn R.
contributor authorSobash, Ryan A.
contributor authorWeisman, Morris L.
date accessioned2017-06-09T17:34:41Z
date available2017-06-09T17:34:41Z
date issued2017
identifier issn0027-0644
identifier otherams-87452.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231123
description abstractrecipitation 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 produced the best forecasts, especially over the first 12 hours and at rainfall rates ≥ 5.0 mm/hr 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.
publisherAmerican Meteorological Society
titleToward 1-km ensemble forecasts over large domains
typeJournal Paper
journal volume145
journal issue008
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-16-0410.1
journal fristpage2943
journal lastpage2969
treeMonthly Weather Review:;2017:;volume( 145 ):;issue: 008
contenttypeFulltext


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