Resumo

GALLEGOS-CEDILLO, Jesús; ARTEAGA-RAMIREZ, Ramón; VAZQUEZ-PENA, Mario Alberto  e  JUAREZ-MENDEZ, Juan. Estimation of missing daily precipitation and maximum and minimum temperature records in San Luis Potosí. Ing. agric. biosist. [online]. 2016, vol.8, n.1, pp.3-16.  Epub 31-Ago-2020. ISSN 2007-4026.  https://doi.org/10.5154/r.inagbi.2015.11.008.

Weather stations often have incomplete records for a certain period, due to the absence or replacement of the operator, recording device failures or operational negligence, thereby limiting the carrying out of agro-climatic and hydrological studies. Therefore, the aim of this study was to compare the deductive rational (DR), normal ratio (NR) and US National Weather Service’s inverse square distance (ISD) methods, and then select the best for estimating missing daily precipitation and maximum and minimum temperature records of the weather stations located in San Luis Potosi, Mexico. Six stations were analyzed, of which 15 % of the precipitation (1,489 of 9,862) and 25 % of the maximum and minimum temperature (1,489 of 5,844) information was eliminated. Missing data were generated with the ISD, DR and NR methods, and their evaluation was performed using the RMSE and Willmott index of agreement, d, statistical indices, which indicated that the ISD method has the Willmott index close to one and the mean standard error close to zero; consequently, it was the one used to estimate the missing data from 108 weather stations in San Luis Potosí.

Palavras-chave : statistical indices; normal ratio; deductive rational; inverse square distance.

        · resumo em Espanhol     · texto em Inglês | Espanhol     · Inglês ( pdf ) | Espanhol ( pdf )