Identification and characterization of drought/wet events homogeneous environments based on regional climate simulations


Autoria(s): Fernandes, Diego Simoes; Kruger, Luiz Fernando; Heinemann, Alexandre Bryan; da Rocha, Rosmeri Porfirio
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

30/10/2013

30/10/2013

2012

Resumo

The objective of this study was to identify and characterize homogeneous environments based on the probability of drought/wet occurrence in the central-northern Brazil, considering Rondonia, Mato Grosso, Goias and Tocantins States. The drought index denominated the moisture anomaly Z-index (Z-index) was used. The input climate data for the drought index was generated by the regional climate model RegCM3 for the period from 1975 to 1989. As result of cluster analysis, it was identified 13 homogeneous environments. These environments were characterized based on the probability of drought/wet, relative density of drought/wet occurrence, annual rainfall variability and probability of drought occurrence during the rainy season (October to March). The Mato Grosso State had the highest number of homogeneous environments and the environment 11, located at southwest of this State had the highest probability of drought occurrence, 9%. The environment 10, located at the extreme east of Goias State, showed the lowest median for the total annual rainfall. The climatic event with the highest probability of occurrence in the study area is close to normal or normality moisture.

Identificador

BRAGANTIA, CAMPINAS, v. 71, n. 2, supl. 1, Part 2, pp. 290-298, APR-JUN, 2012

0006-8705

http://www.producao.usp.br/handle/BDPI/36816

10.1590/S0006-87052012005000014

http://dx.doi.org/10.1590/S0006-87052012005000014

Idioma(s)

por

Publicador

INST AGRONOMICO

CAMPINAS

Relação

BRAGANTIA

Direitos

closedAccess

Copyright INST AGRONOMICO

Palavras-Chave #DROUGHT #PALMER MOISTURE ANOMALY INDEX (Z-INDEX) #REGIONAL CLIMATE MODEL #UPLAND RICE #VARIABILITY #SEVERITY #BRAZIL #INDEX #SPI #AGRICULTURE, MULTIDISCIPLINARY #GEOLOGY
Tipo

article

original article

publishedVersion