Banca de DEFESA: JULIO CEZAR COSTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JULIO CEZAR COSTA
DATE: 10/05/2021
TIME: 16:00
LOCAL: meet.google.com/qsj-mezz-sfg
TITLE:

TREND OF THE SOUTH AMERICAN RANGE PERIOD BETWEEN 1981 TO 2019

KEY WORDS:

PCA; Cluster analysis; Precipitation; CHIRPS; South America.

PAGES: 120
BIG AREA: Ciências Humanas
AREA: Geografia
SUMMARY:

Among the elements of the climate system that influence socioeconomic activities, precipitation plays a fundamental role in tropical areas. Thus, excess or deficit in precipitation, which can last for days or months, impact the hydrological cycle and elements of the climate system. Thus, in order to analyze the homogeneity of time and space series for South America, it is important to highlight the precipitation period and three parameters: beginning, end and duration of the period. Thus, to increase the reliability of the results in the temporal analysis of precipitation studies, it is necessary to have good quality of the estimated data, as well as good availability and spatial distribution. In this context, this study has as main objective to analyze the spatial pattern of precipitation distribution for South America using the principal component technique. To evaluate CHIRPS, data from 183 meteorological stations from the National Institute of Meteorology (INMET) and the Center for Weather Forecast and Climate Studies (CPTEC) from 2000 to 2018 were used. The main component technique (ACP) was used to classify the South America in different climatic zones. The Liebmann method was used to determine the beginning, cessation and duration of the precipitation period for each classified region. For the validation of CHIRPS, the results indicate that all political regions of Brazil showed a high correlation with the stations of the INMET / CPTEC and CHIRPS (95.4%), yet, when considering the whole area of Brazil, the coefficient of determination is 97%, significant after p <0.05, t-student test. Spatially, the northwest of the state of Amazonas and the southwest of Pará showed the greatest differences between the data set compared. The CHIRPS estimates adjusted linearly with the INMET / CPTEC data showed a more accentuated agreement. Through the first 3 components of the ACP and, then, using cluster analysis, it was possible to generate 15 regions for South America. It was concluded that each region presented different patterns for periods of precipitation, regions 01, 03, 05 , 11 and 14 showed an increase in the duration of the precipitation period. While Regions 02 (in the two periods), 12, 13 and 15 showed a decline in the duration of the precipitation period.

BANKING MEMBERS:
Presidente - 2001758 - GABRIEL PEREIRA
Interna - 007.170.909-65 - FRANCIELLE DA SILVA CARDOZO - UFSJ
Externo à Instituição - ANDREWS JOSÉ DE LUCENA - UFRRJ
Externo à Instituição - MARIA ELISA SIQUEIRA SILVA - USP