RT journal article
T1 A multimethod interpolation approach for mapping the spatial distribution of rainfall in southwest Iberian Peninsula.
A1 Ruiz Ortiz, Verónica
A1 Fernández, Helena Maria
A1 Granja Martins, Fernando M.
A1 Vélez Nicolás, Mercedes
A1 Isidoro, Jorge M.G.P.
A1 García López, Santiago
A2 Biología
A2 Ciencias de la Tierra
A2 Ingeniería Industrial e Ingeniería Civil
K1 rainfall
K1 inverse distance weight
K1 spline
K1 universal kriging
K1 multilinear regression
K1 southwestern Iberian Peninsula
AB Eight spatial interpolation models were used to map the spatial distribution of precipitation in thesouthwestern sector of the Iberian Peninsula (22330 km2) over 40 years (1980/1981–2019/2020).Rainfall data from 103 meteorological stations were used to generate the interpolation models, namelyinverse distance weight (IDW) with 6, 12 and 24 points, regression spline (RS), thin spline (TS), universalkriging with spherical and Gaussian variogram (UK_Sphe and UK_gauss, respectively) and multilinearregression (MR), based on physiographic and geographic variables. Furthermore, 32 rainfall stations wereused to assess the performance of the previous methods through 7 statistical metrics Ordinary LeastSquares (OLS), Root Mean Square Error (RMSE), Normalized root mean square error (NRMSE), Coefficientof determination (R2), Nash-Sutcliffe efficiency coefficient (NSE), Mean Absolute Error (Bias and MAE).Based on these metrics, UK_gauss and IDW_6 provided the best adjustments, whereas MR presented thehighest errors. All methods were suitable to predict the spatial distribution of rainfall, but adjustments are conditioned by the features of the study area, gauge density and gauge spatial distribution.
PB Taylor and Francis
SN 2150-3435
YR 2024
FD 2024
LK http://hdl.handle.net/10498/34737
UL http://hdl.handle.net/10498/34737
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026