Banca de QUALIFICAÇÃO: AURILENE BARROS DOS SANTOS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : AURILENE BARROS DOS SANTOS
DATE: 01/03/2023
TIME: 15:00
LOCAL: sala de aula NSA
TITLE:

Modeling the Biosphere-Atmosphere Interaction in the Amazon Forest: Use of MERRA-2 reanalysis applied
to SiB4

KEY WORDS:

Energy flux, model, Amazon.

PAGES: 40
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SPECIALTY: Meteorologia Aplicada
SUMMARY:

Experiments with general circulation models (GCMs) demonstrate that atmospheric circulation is highly sensitive to surface–atmosphere interaction mechanisms and that variations in vegetation characteristics in a region have a significant impact on climate at a local, regional and global scale. For this reason, to understand the processes
associated with biosphere-atmosphere interactions is extremely important. Therefore, surface models were developed that describe processes of energy, mass, and momentum transfer in the soil-plant-atmosphere system.
These models are formulated to represent a vegetated surface, being necessary to calibrate them for each type of biome (vegetation and soil). Among the various known models, the Simple Biosphere Model version 4 (SiB4)
stands out, which, by combining biogeochemical, biophysical and phenological processes, predicts soil and
vegetation moisture states, water and energy balances on the land surface and the terrestrial carbon cycle. It 

should be noted that such models require the definition of the physical state of the atmosphere, which exerts a
direct influence on surface fluxes. The definition of this state is given by the determination of the atmospheric
boundary conditions that act as initialization forcings and, in general, come from experimental meteorological
stations. However, the network of meteorological stations in the Amazon is sparse. In addition, failures in
experimental data are common, caused by power outages, human error or sensor problems. As a solution to
supply the lack of meteorological data, some data sources can be adopted, such as general circulation models and reanalysis data. Thus, the objective of this research is to evaluate the use of the Merra-2 reanalysis data as input data for SiB4 model to obtain energy and CO2 fluxes over a forest area. The main purpose of this evaluation is to verify if it is feasible to carry out a simulation of energy fluxes in SiB4 using reanalysis data. We implemented this approach and evaluated performance by comparing simulation results with observed data. The results showed that SiB4 was able to simulate the seasonal variation of energy fluxes satisfactorily. Thus, we conclude that it is feasible to use reanalysis data as atmospheric boundary conditions in SiB4 for simulations of energy fluxes.

COMMITTEE MEMBERS:
Interno - 1549120 - RODRIGO DA SILVA
Externo ao Programa - 2375444 - THEOMAR TRINDADE DE ARAUJO TIBURTINO NEVES - UFOPAExterno ao Programa - 2160992 - RAPHAEL PABLO TAPAJOS SILVA - UFOPA