@MastersThesis{Galetti:2023:AnMuPa,
author = "Galetti, Giovana Deponte",
title = "An{\'a}lise multi-modelos do papel da umidade do solo nos
padr{\~o}es de seca da Am{\'e}rica do Sul",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2023",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2023-03-17",
keywords = "umidade do solo, secas, modelos de superf{\'{\i}}cie, soil
moisture, droughts, land surface model.",
abstract = "Considerada como uma importante vari{\'a}vel para o ciclo de
{\'a}gua e energia, a Umidade do Solo (US) desempenha um papel
fundamental nas intera{\c{c}}{\~o}es entre a superf{\'{\i}}cie
terrestre e a atmosfera. O objetivo dessa disserta{\c{c}}{\~a}o
foi realizar uma an{\'a}lise multimodelos do papel da US nos
padr{\~o}es de secas da Am{\'e}rica do Sul assim como verificar
a sensibilidade destes modelos com a adi{\c{c}}{\~a}o da
for{\c{c}}ante de radia{\c{c}}{\~a}o. Os objetivos
espec{\'{\i}}ficos foram (a) analisar os padr{\~o}es de US e
sua rela{\c{c}}{\~a}o com as for{\c{c}}antes atmosf{\'e}ricas,
sendo elas o Global Data Assimilation System (GDAS), o
Multi-satellitE Retrievals for GPM (MERGE) e Clouds and the Earths
Radiant Energy System (CERES) durante os {\'u}ltimos 20 anos
sobre a Am{\'e}rica do Sul utilizando as simula{\c{c}}{\~o}es
multimodelos do South American Land Data Assimilation System
{{(SALDAS);}} (b) avaliar a destreza das simula{\c{c}}{\~o}es do
SALDAS durante o per{\'{\i}}odo de estudo com
rela{\c{c}}{\~a}o {\`a} refer{\^e}ncias de modelagem offline,
modelagem acoplada e observa{\c{c}}{\~a}o de sat{\'e}lite:
Global Land Data Assimilation (GLDAS), Rean{\'a}lise do ECMWF
Reanalysis v5 (ERA-5) e European Space Agency Climate Change
Initiative (ESA-CCI) {{respectivamente;}} (c) Analisar a destreza
dos modelos de superf{\'{\i}}cie para os eventos de seca
ocorridos durante este per{\'{\i}}odo. Para gerar os campos de
US foram utilizados tr{\^e}s modelos de superf{\'{\i}}cie,
sendo eles o National Oceanic and Atmospheric Administration-
Multiparameterization (Noah-MP), Catchment Land Surface Model
(CLSM-F2.5) e o Integrated BIosphere Simulator (IBIS) que foram
for{\c{c}}ados com diferentes dados de entrada (GDAS, MERGE e
CERES). Os resultados foram comparados com o ERA-5, ESA-CCI e
GLDAS, para avaliar a destreza do SALDAS atrav{\'e}s de
estat{\'{\i}}sticas como: coeficiente de correla{\c{c}}{\~a}o
de Pearson, raiz quadrada do erro m{\'e}dio, desvio das
m{\'e}dias, desvio padr{\~a}o e foi feito o diagrama de Taylor.
Para fazer a compara{\c{c}}{\~a}o com os eventos de seca, foram
utilizados os dados de SPI-1 disponibilizados pelo Centro de
Previs{\~a}o do Tempo e Estudos Clim{\'a}ticos do Instituto
Nacional de Pesquisas Espaciais (CPTEC/INPE). Como resultados,
foram obtidos que os diferentes modelos respondem de forma bem
diversa {\`a} varia{\c{c}}{\~o}es nos campos de
radia{\c{c}}{\~a}o e precipita{\c{c}}{\~a}o, mas de forma
geral a inclus{\~a}o do CERES e MERGE trouxeram impactos
positivos nas simula{\c{c}}{\~o}es num{\'e}ricas. Quanto
{\`a}s compara{\c{c}}{\~o}es com as bases de dados de
refer{\^e}ncia, os modelos num{\'e}ricos apresentaram boa
performance, principalmente quando comparados com o GLDAS. Em
rela{\c{c}}{\~a}o {\`a}s secas, houve boa destreza dos modelos
em estimar os padr{\~o}es de seca nos diversos eventos estudados
neste trabalho, incluindo per{\'{\i}}odo, intensidade e
extens{\~a}o. ABSTRACT: Considered as an important variable for
the water and energy cycle, Soil Moisture (SM) makes a fundamental
role in the interactions between the Earths surface and the
atmosphere. The aim of this dissertation was to perform a
multi-model analysis of the role of US in drought patterns in
South America as well as to verify the sensitivity of these models
with the addition of radiation forcing. The specific objectives
were (a) to analyze the SM patterns and their relationship with
atmospheric forcings, namely the Global Data Assimilation System
(GDAS), the Multi-satellite Retrievals for GPM (MERGE) and Clouds
and the Earths Radiant Energy System (CERES) over the last 20
years over South America using the multi-model simulations of the
South American Land Data Assimilation System {{(SALDAS);}} (b)
evaluate the ability of the SALDAS simulations during the study
period with respect to offline modeling, coupled modeling and
satellite observation references: Global Land Data Assimilation
(GLDAS), ECMWF Reanalysis v5 (ERA-5) and European Space Agency
Climate Change Initiative (ESA-CCI) {{respectively;}} (c) Analyze
the ability of surface models for drought events that occurred
during this period. To generate the US fields, three surface
models were used, namely the National Oceanic and Atmospheric
Administration-Multiparameterization (Noah-MP), Catchment Land
Surface Model (CLSM-F2.5) and the Integrated BIosphere Simulator
(IBIS) that were forced with different input data (GDAS, MERGE and
CERES). The results were compared with the ERA-5, ESA-CCI and
GLDAS, to evaluate the skill of SALDAS through statistics such as:
Pearsons correlation coefficient, square root of the mean error,
mean deviation, standard deviation and the diagram was made from
Taylor. To make the comparison with drought events, SPI-1 data
provided by the Center for Weather Forecast and Climatic Studies
of the National Institute for Space Research (CPTEC/INPE) were
used. As a result, it was obtained that the different models
respond very differently to variations in the radiation and
precipitation fields, but in general the inclusion of CERES and
MERGE brought positive impacts in the numerical simulations. As
for comparisons with the reference databases, the numerical models
performed well, especially when compared with the GLDAS. With
regard to droughts, the models were good at estimating drought
patterns in the different events studied in this work, including
period, intensity and extension.",
committee = "Reyes Fernandez, Julio Pablo (presidente) and Gon{\c{c}}alves,
Luis Gustavo Gon{\c{c}}alves De (orientador) and Kubota, Paulo
Yoshio and Gomes, Heliofabio Barros",
englishtitle = "Multi-model analysis of the role of soil moisture in drought
patterns in South America",
language = "pt",
pages = "116",
ibi = "8JMKD3MGP3W34T/48RK8BB",
url = "http://urlib.net/ibi/8JMKD3MGP3W34T/48RK8BB",
targetfile = "publicacao.pdf",
urlaccessdate = "05 maio 2024"
}