An approach to quality analysis, gap filling and homogeneity of monthly rainfall series

• Autor(a) principal: Santos, Janaina Cassiano dos
• Data de Publicação: 2021
• Outros Autores: Lyra, Gustavo Bastos, Abreu, Marcel Carvalho, Menezes, Daniel Carlos de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Engenharia na Agricultura
• Texto Completo: https://periodicos.ufv.br/reveng/article/view/11738
• topic: Rainfall; Climatology; Data set

The aim was to propose an approach for the consistency of monthly rainfall climatic series. The methodology was applied to series (1961-2010) of rainfall from meteorological stations located in the state of Rio de Janeiro (RJ) and on the border of the states of São Paulo, Minas Gerais and Espírito Santo with RJ. The data were submitted to quality analysis (physical limits, climatic limits and spatio-temporal tendency) and filling of gaps by the simple linear regression method, associated with the prediction band (p <0.05 and 0.01), in addition to the Z-score(3, 4 or 5). Subsequently, homogeneity analysis was applied to continuous series, using the accumulated residue method. The selected stations presented a coefficient of determination (r²) between the station series and the reference series greater than 0.70 after filling gaps. After homogeneity analysis, five of the nine final series were homogeneous (p > 0.9), in the others the break point of homogeneity was identified and the simple linear regression method was applied in its homogenization. This approach was effective to consist of the precipitation series and makes it possible to use these data in climate studies.