Spatial-temporal relation between stations used for filling missing rainfall data in Chone, Ecuador

Abstract:

In this study, the methodology of linear regression was used to complete the missing rainfall records of the Chone main climatological station from the information of six nearby stations with a similar temporality with the station of interest. The obtained data were validated by a run test and the double mass curve method. The objective of this study was to find a degree of relationship between the distances of the auxiliary stations to the Chone station (d) and the averages of the correlation coefficients (r) of the auxiliary stations obtained in the process of filling the missing data. Correlation coefficients (r) were obtained with values higher than 0.5, representing moderate and intense positive correlations. Finally, it was determined that the variables d and r were linearly related in inverse sense.

Año de publicación:

2018

Keywords:

• Missing data
• Run test
• Representativity
• linear regression

Fuente:

scopus