Furthermore, CHIRPS performs better in the driest season than in the rainiest season. However, it does better in the Andean subregions and underperforms in warmer regions. CHIRPS performs well in most weather conditions in Antioquia, even in the most intense periods of the ENSO. The results show that in some areas there is a significant difference between rain gauge data and CHIRPS data, while in other regions the behavior is very similar. Also, don't forget to mention Hubbiz to Enso. After you do business with Enso, please leave a review to help other people and improve hubbiz. To more accurately represent how CHIRPS performs at estimating precipitation at different time scales, a comparison is made using 12 specific rain gauge stations located in different subregions of Antioquia which had well differentiated climate characteristics. About Enso: Enso in North Valley - San Jose, CA - Santa Clara County is a business listed in the category Merchandising & Marketing Consultants.
Resilient methods for validation are included based on Gauss-Markov diagnostic problems and influence points, leverage, and outliers in the form of the trimmed least squares boot method and principal component analysis. In this study, statistical metrics are used to analyze the error structure of the CHIRPS data. The study takes place in the region of Antioquia in northwestern Colombia and uses statistically independent information provided by 75 rain gauges located at different sites from 1981 to 2018 (38 years). The aim of this study is to validate the accuracy of the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) dataset at representing climate variability for several time scales.