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contributor authorSerra, Yolande L.;Rowe, Angela;Adams, David K.;Kiladis, George N.
date accessioned2022-01-30T17:51:14Z
date available2022-01-30T17:51:14Z
date copyright10/5/2020 12:00:00 AM
date issued2020
identifier issn0022-4928
identifier otherjasd200008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264058
description abstractThe 2014–15 Observations and Modeling of the Green Ocean Amazon (GOAmazon) field campaign over the central Amazon near Manaus, Brazil, occurred in coordination with the larger Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud-Resolving Modeling and to the Global Precipitation Measurement (CHUVA) project across Brazil. These programs provide observations of convection over the central Amazon on diurnal to annual time scales. In this study, we address the question of how Kelvin waves, observed in satellite observations of deep cloud cover over the GOAmazon region during the 2014–15 time period, modulate the growth, type, and organization of convection over the central Amazon. The answer to this question has implications for improved predictability of organized systems over the region and representation of convection and its growth on local to synoptic scales in global models. Our results demonstrate that Kelvin waves are strong modulators of synoptic-scale low- to midlevel free-tropospheric moisture, integrated moisture convergence, and surface heat fluxes. These regional modifications of the environment impact the local diurnal cycle of convection, favoring the development of mesoscale convective systems. As a result, localized rainfall is also strongly modulated, with the majority of rainfall in the GOAmazon region occurring during the passage of these systems.
publisherAmerican Meteorological Society
titleKelvin Waves during GOAmazon and Their Relationship to Deep Convection
typeJournal Paper
journal volume77
journal issue10
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-20-0008.1
journal fristpage3533
journal lastpage3550
treeJournal of the Atmospheric Sciences:;2020:;volume( 77 ):;issue: 010
contenttypeFulltext


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