Análisis espaciotemporal de estimaciones de precipitación y temperaturas de Chirps y Worldclim en la cuenca del río Sonora, México

Contextualization: The precipitation and temperature estimates in the Sonora River Basin, Mexico, are analyzed using Chirps and WorldClim raster data. These platforms help compensate for the lack of data due to low or nonexistent instrumentation, providing valuable information for territorial planning and decision-making. Knowledge Gap: Despite the information generated from remote sensors that facilitate the interpolation and estimation of climate variables in areas without direct measurements, uncertainties persist regarding the accuracy of interpolated raster data compared to ground-based climatological records, especially in regions with low station density and diverse geographical features. Purpose: The main objective is to assess the accuracy of Chirps precipitation estimates and WorldClim maximum and minimum temperature estimates using monthly records from 19 climatological stations in the Sonora River Basin during the period 1981–2013. Methodology: Data from Chirps and WorldClim were collected and compared with climatological station records using the Percentage Bias (PBIAS) and the Standard Deviation Ratio (RSR). R programming routines were used for analysis. Results and Conclusions: The results show that Chirps and WorldClim estimates exhibit a "Good" to "Very Good" fit. However, cases of underestimation and overestimation were identified, primarily in temperature estimates. Temperature estimates showed a high degree of accuracy, whereas precipitation estimates displayed greater dispersion. Raster-based data platforms are reliable for climate studies and planning in the region.