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A METHOD FOR THE RECONSTRUCTION AND TEMPORAL EXTENSION OF CLIMATOLOGICAL TIME SERIES
Author(s) -
VALERO F.,
GONZALEZ J. F.,
DOBLAS F. J.,
GARCÍAMIGUEL J. A.
Publication year - 1996
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/(sici)1097-0088(199602)16:2<213::aid-joc996>3.0.co;2-7
Subject(s) - series (stratigraphy) , calibration , time series , climatology , extension (predicate logic) , period (music) , meteorology , statistics , computer science , mathematics , geography , geology , paleontology , physics , acoustics , programming language
A method for the reconstruction and temporal extension of climatological time series is provided. This method was focused on a combination of methods, including harmonic analysis, seasonal weights, and the Durbin–Watson (DW) regression method. The DW method has been modified in this paper and is described in detail because it represents a novel use of the original DW method. The method is applied to monthly means of daily wind‐run data sets recorded in two historical observatories (M series and A series) within the Parque del Retiro in Madrid (Spain) and covering different time periods with an overlapping period (1901–1919). The aim of the present study is to fill up to and to construct a historical time series ranging from 1867 to 1992. The proposed model is developed for the 1906–1919 calibration period and validated over the 1901–1905 verification period, which includes the hypothesis of constant ratio of variances. The verification results are almost as good as those for the calibration period. Hence, the M series was extended back to 1867, which results in the longest climatological wind‐run data‐set in Spain. Also, the reconstruction is shown to be reliable.