Open AccessAn approach to quality analysis, gap filling and homogeneity of monthly rainfall series
Author(s) -
Janaína Cassiano dos Santos,
Guilherme Bastos Lyra,
Marcel Carvalho Abreu,
Daniel Carlos de Menezes
Publication year - 2021
Publication title -
engenharia na agricultura
Language(s) - English
Resource type - Journals
eISSN - 2175-6813
pISSN - 1414-3984
DOI - 10.13083/reveng.v29i1.11738
Subject(s) - homogeneity (statistics) , homogeneous , series (stratigraphy) , regression , linear regression , simple linear regression , regression analysis , statistics , mathematics , time series , geology , paleontology , combinatorics
The aim of this work was to propose a method for the consistency of climatic series of monthly rainfall using a supervised and unsupervised approach. The methodology was applied for the series (1961-2010) of rainfall from weather stations located in the State of Rio de Janeiro (RJ) and in the borders with the states of São Paulo, Minas Gerais and Espírito Santo with the State of Rio de Janeiro. The data were submitted to quality analysis (physical and climatic limit and, space-time tendency) and gap filling, based on simple linear regression analysis, associated with the prediction band (p 0.9). In the other series, the homogeneity break points were identified and the simple linear regression method was applied for their homogenization. The proposed method was effective to consist of the rainfall series and allows the use of these data in climate studies.