SciELO - Scientific Electronic Library Online

 
vol.6 número3Una estimación de la responsabilidad social empresarial en empresas hortofrutícolas de Baja California, MéxicoAnálisis químico-morfológico comparativo de accesiones de Jatropha curcas L. del estado de Veracruz índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Revista mexicana de ciencias agrícolas

versión impresa ISSN 2007-0934

Resumen

TORO TRUJILLO, Ana María; ARTEAGA RAMIREZ, Ramón; VAZQUEZ PENA, Mario Alberto  y  IBANEZ CASTILLO, Laura Alicia. Fill of daily series of precipitation, minimum and maximum temperature from the northern region of Urabá Antioquia. Rev. Mex. Cienc. Agríc [online]. 2015, vol.6, n.3, pp.577-588. ISSN 2007-0934.

Agroclimatic studies require the use of time series of meteorological variables, which generally present missing data limiting its use, so filling methods are used. The purpose of this study was to determine the reliability of filling methods: US National Weather Servicie (WS), rational deductive (RD), multiple regression (MR) and linear regression (LR) and from them use the best to fill the data series of precipitation, maximum and minimum temperature during the period 2006-2009 of the stations located in the northern area on b anana axis from Urabá Antoquia. The base station was Pïsta Indira, and Uniban, Turbo, Aeropuerto and Prado Mar stations were used as neighbors. Standard error was made with: square root of the mean squared error (RCCME), coefficient of determination (R2), mean absolute error (MAE), relative error (RE) and Willmott’s concordance index (d). RM and RL methods presented similar RCCME and MAE to those of WS, which would lead to have similar errors but due to R2 of the first were 0.8 and the index (d) for WS was higher or similar to the other method, the latter was used to fill in the series.

Palabras llave : deductive; inverse distance; regression.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons