@PhDThesis{Schmengler:2021:AsObDe,
author = "Schmengler, Moacir",
title = "Aspectos observacionais e de modelagem da rela{\c{c}}{\~a}o
entre a camada limite noturna e a convec{\c{c}}{\~a}o profunda
na Amaz{\^o}nia Central",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2021",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2021-03-04",
keywords = "camada limite noturna, Amaz{\^o}nia, precipita{\c{c}}{\~a}o,
convec{\c{c}}{\~a}o profunda, turbul{\^e}ncia, nocturnal
boundary layer, Amazon, precipitation, deep convection,
turbulence, BAM global model.",
abstract = "A forma{\c{c}}{\~a}o da convec{\c{c}}{\~a}o profunda na
Amaz{\^o}nia ainda n{\~a}o est{\'a} bem compreendida, existindo
uma defici{\^e}ncia da sua representa{\c{c}}{\~a}o nos
processos f{\'{\i}}sicos dos modelos num{\'e}ricos de
previs{\~a}o de tempo e clima. Uma hip{\'o}tese explorada foi:
que os diferentes regimes de escoamento noturnos afetam as
condi{\c{c}}{\~o}es atmosf{\'e}ricas diurnas. Pois, a
gera{\c{c}}{\~a}o mec{\^a}nica de turbul{\^e}ncia pelo
cisalhamento do vento durante a noite e a destrui{\c{c}}{\~a}o
t{\'e}rmica pela estabilidade, faz com que ocorram diferentes
regimes de escoamento na Camada Limite Noturna (CLN). O objetivo
deste trabalho foi investigar a import{\^a}ncia da CLN na
ocorr{\^e}ncia ou n{\~a}o das nuvens convectivas durante o
decorrer do dia na regi{\~a}o central da Amaz{\^o}nia,
atrav{\'e}s de um estudo observacional e de modelagem. Para a
parte observacional foram usados os dados do experimento GOAmazon
2014/5, e para a parte de modelagem foi utilizado o modelo global
BAM (Brazilian Global Atmospheric model). Os resultados mais
importantes s{\~a}o: i) Os dados de vento de radiossondagens, de
dados de Radar Dopler e experimentos de modelagem mostram que
existe uma clara rela{\c{c}}{\~a}o entre os valores de vento
horizontal e de umidade no topo e acima da CLN com a
forma{\c{c}}{\~a}o ou n{\~a}o de nuvens convectivas profundas
durante o decorrer do dia e ii) os experimentos de modelagem,
mostram que os ventos fracos e altos valores de umidade acima da
CLN (na Camada Residual), assim como a ocorr{\^e}ncia de chuvas
intensas na Amaz{\^o}nia Central, podem estar associados ao
transporte vertical turbulento noturno e, tamb{\'e}m, a fatores
de grandes escala. ABSTRACT: The formation of deep convection in
the Amazon is not yet well understood. There is a deficiency of
its representation in the physical processes of numerical models
of weather and climate forecasting. It is hypothesized here that
the different flow regimes at night affect the daytime atmospheric
conditions, as the mechanical generation of turbulence by wind
shear at night and thermal destruction by stability causes
different flow regimes to occur in the Nocturnal Boundary Layer
(NBL). The aim of this study was to investigate the importance of
the NBL in the occurrence or not of deep convection during the day
in the central region of the Amazon through an observational and
modeling study. For the observational part, we used the GOAmazon
2014/5 experiment data, and for the modeling part, the CPTEC
global model BAM (Brazilian Global Atmospheric Model). The most
important results are listed here: i) radiosondes wind data,
Doppler data, and modeling experiments, show that there is a clear
relationship between horizontal wind intensity and humidity above
NBL with the formation or not of deep convective clouds during the
day and ii) modeling experiments show that weak winds and high
humidity values above the NBL (in the residual layer), as well as
the occurrence of heavy rainfall in the Central Amazon during the
day, are associated with vertical turbulent mixing during the
night as well as with large-scale factors.",
committee = "Fisch, Gilberto Fernando (presidente) and Bonatti, Jos{\'e} Paulo
(orientador) and Figueroa, Silvio Nilo (orientador) and Kubota,
Paulo Yoshio and Costa, Felipe Denardin and Acevedo, Otavio
Costa",
englishtitle = "Observational and modeling aspects of the relationship between the
nocturnal boundary layer and deep convection in Central Amazon",
language = "pt",
pages = "93",
ibi = "8JMKD3MGP3W34R/44AS3RL",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/44AS3RL",
targetfile = "publicacao.pdf",
urlaccessdate = "2024, Apr. 28"
}