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contributor authorSims, Aaron P.;Alapaty, Kiran;Raman, Sethu
date accessioned2018-01-03T11:02:54Z
date available2018-01-03T11:02:54Z
date copyright9/19/2017 12:00:00 AM
date issued2017
identifier othermwr-d-16-0047.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246540
description abstractAbstractTwo mesoscale circulations, the Sandhills circulation and the sea breeze, influence the initiation of deep convection over the Sandhills and the coast in the Carolinas during the summer months. The interaction of these two circulations causes additional convection in this coastal region. Accurate representation of mesoscale convection is difficult as numerical models have problems with the prediction of the timing, amount, and location of precipitation. To address this issue, the authors have incorporated modifications to the Kain?Fritsch (KF) convective parameterization scheme and evaluated these mesoscale interactions using a high-resolution numerical model. The modifications include changes to the subgrid-scale cloud formulation, the convective turnover time scale, and the formulation of the updraft entrainment rates. The use of a grid-scaling adjustment parameter modulates the impact of the KF scheme as a function of the horizontal grid spacing used in a simulation. Results indicate that the impact of this modified cumulus parameterization scheme is more effective on domains with coarser grid sizes. Other results include a decrease in surface and near-surface temperatures in areas of deep convection (due to the inclusion of the effects of subgrid-scale clouds on the radiation), improvement in the timing of convection, and an increase in the strength of deep convection.
publisherAmerican Meteorological Society
titleSensitivities of Summertime Mesoscale Circulations in the Coastal Carolinas to Modifications of the Kain–Fritsch Cumulus Parameterization
typeJournal Paper
journal volume145
journal issue11
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-16-0047.1
journal fristpage4381
journal lastpage4399
treeMonthly Weather Review:;2017:;volume( 145 ):;issue: 011
contenttypeFulltext


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