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contributor authorAdams, David K.
contributor authorBarbosa, Henrique M. J.
contributor authorGaitán De Los Ríos, Karen Patricia
date accessioned2017-06-09T17:34:08Z
date available2017-06-09T17:34:08Z
date copyright2017/01/01
date issued2016
identifier issn0027-0644
identifier otherams-87329.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230986
description abstracteep atmospheric convection, which covers a large range of spatial scales during its evolution, continues to be a challenge for models to replicate, particularly over land in the tropics. Specifically, the shallow-to-deep convective transition and organization on the mesoscale are often not properly represented in coarse-resolution models. High-resolution models offer insights on physical mechanisms responsible for the shallow-to-deep transition. Model verification, however, at both coarse and high resolution requires validation and, hence, observational metrics, which are lacking in the tropics. Here a straightforward metric derived from the Amazon Dense GNSS Meteorological Network (~100 km ? 100 km) is presented based on a spatial correlation decay time scale during convective evolution on the mesoscale. For the shallow-to-deep transition, the correlation decay time scale is shown to be around 3.5 h. This novel result provides a much needed metric from the deep tropics for numerical models to replicate.
publisherAmerican Meteorological Society
titleA Spatiotemporal Water Vapor–Deep Convection Correlation Metric Derived from the Amazon Dense GNSS Meteorological Network
typeJournal Paper
journal volume145
journal issue1
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-16-0140.1
journal fristpage279
journal lastpage288
treeMonthly Weather Review:;2016:;volume( 145 ):;issue: 001
contenttypeFulltext


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