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contributor authorStein, Thorwald H. M.
contributor authorHogan, Robin J.
contributor authorClark, Peter A.
contributor authorHalliwell, Carol E.
contributor authorHanley, Kirsty E.
contributor authorLean, Humphrey W.
contributor authorNicol, John C.
contributor authorPlant, Robert S.
date accessioned2017-06-09T16:45:19Z
date available2017-06-09T16:45:19Z
date copyright2015/06/01
date issued2015
identifier issn0003-0007
identifier otherams-73522.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215646
description abstractA new frontier in weather forecasting is emerging by operational forecast models now being run at convection-permitting resolutions at many national weather services. However, this is not a panacea; significant systematic errors remain in the character of convective storms and rainfall distributions. The Dynamical and Microphysical Evolution of Convective Storms (DYMECS) project is taking a fundamentally new approach to evaluate and improve such models: rather than relying on a limited number of cases, which may not be representative, the authors have gathered a large database of 3D storm structures on 40 convective days using the Chilbolton radar in southern England. They have related these structures to storm life cycles derived by tracking features in the rainfall from the U.K. radar network and compared them statistically to storm structures in the Met Office model, which they ran at horizontal grid length between 1.5 km and 100 m, including simulations with different subgrid mixing length. The authors also evaluated the scale and intensity of convective updrafts using a new radar technique. They find that the horizontal size of simulated convective storms and the updrafts within them is much too large at 1.5-km resolution, such that the convective mass flux of individual updrafts can be too large by an order of magnitude. The scale of precipitation cores and updrafts decreases steadily with decreasing grid lengths, as does the typical storm lifetime. The 200-m grid-length simulation with standard mixing length performs best over all diagnostics, although a greater mixing length improves the representation of deep convective storms.
publisherAmerican Meteorological Society
titleThe DYMECS Project: A Statistical Approach for the Evaluation of Convective Storms in High-Resolution NWP Models
typeJournal Paper
journal volume96
journal issue6
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-13-00279.1
journal fristpage939
journal lastpage951
treeBulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 006
contenttypeFulltext


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