
U.K. Rainfall Data: A Long-Term Persistence Approach
Author(s) -
Luis A. Gil-Alaña
Publication year - 2012
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/jamc-d-11-0201.1
Subject(s) - persistence (discontinuity) , term (time) , climatology , environmental science , seasonality , econometrics , meteorology , atmospheric sciences , statistics , mathematics , geography , geology , physics , geotechnical engineering , quantum mechanics
This paper looks at the analysis of U.K. monthly rainfall data from a long-term persistence viewpoint. Different modeling approaches are considered, taking into account the strong dependence and the seasonality in the data. The results indicate that the most appropriate model is the one that presents cyclical long-run dependence with the order of integration being positive though small, and the cycles having a periodicity of about a year.