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contributor authorSenf, Fabian
contributor authorKlocke, Daniel
contributor authorBrueck, Matthias
date accessioned2019-09-19T10:04:45Z
date available2019-09-19T10:04:45Z
date copyright5/21/2018 12:00:00 AM
date issued2018
identifier othermwr-d-17-0378.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261285
description abstractAbstractDeep moist convection is an inherently multiscale phenomenon with organization processes coupling convective elements to larger-scale structures. A realistic representation of the tropical dynamics demands a simulation framework that is capable of representing physical processes across a wide range of scales. Therefore, storm-resolving numerical simulations at 2.4 km have been performed covering the tropical Atlantic and neighboring parts for 2 months. The simulated cloud fields are combined with infrared geostationary satellite observations, and their realism is assessed with the help of object-based evaluation methods. It is shown that the simulations are able to develop a well-defined intertropical convergence zone. However, marine convective activity measured by the cold cloud coverage is considerably underestimated, especially for the winter season and the western Atlantic. The spatial coupling across the resolved scales leads to simulated cloud number size distributions that follow power laws similar to the observations, with slopes steeper in winter than summer and slopes steeper over ocean than over land. The simulated slopes are, however, too steep, indicating too many small and too few large tropical cloud cells. It is also discussed that the number of larger cells is less influenced by multiday variability of environmental conditions. Despite the identified deficits, the analyzed simulations highlight the great potential of this modeling framework for process-based studies of tropical deep convection.
publisherAmerican Meteorological Society
titleSize-Resolved Evaluation of Simulated Deep Tropical Convection
typeJournal Paper
journal volume146
journal issue7
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-17-0378.1
journal fristpage2161
journal lastpage2182
treeMonthly Weather Review:;2018:;volume 146:;issue 007
contenttypeFulltext


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