The state of Jalisco presents a high climatic diversity due to its geographical location and its varied landscape. The recorded data, from 1961 to present date, have several problems, the most important is the large amount of missing data. To circumvent this issue, a two-stage method for estimating missing data is proposed; the first uses an unsupervised algorithm; hence it does not require historical data. The second uses supervised interpolation for correcting the error from the first one.
Pag. 130-147, 01-Aug, 587 kB