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Open AccessArticle

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

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Facultad de Ingeniería Civil, Universidad Autónoma de Nuevo León, Av. Universidad s/n, Ciudad Universitaria, San Nicolás de los Garza 66455, Mexico
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Unidad Académica de Ingeniería, Universidad Autónoma de Zacatecas, Av. Ramón López Velarde, 801, Zacatecas 98000, Mexico
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Departamento de Ingeniería Civil y Minas, Universidad de Sonora, Blvd. Luis Encinas y Calle Rosales, Hermosillo 83000, Mexico
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Cuerpo Académico de Ingeniería Civil Sustentable y Tecnología de Materiales, Universidad Autónoma del Estado de Hidalgo, Carr. Pachuca-Tulancingo km 4.5 Col. Carboneras, Mineral de la Reforma 42184, Mexico
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Author to whom correspondence should be addressed.
Water 2019, 11(8), 1722; https://doi.org/10.3390/w11081722
Received: 2 July 2019 / Revised: 10 August 2019 / Accepted: 13 August 2019 / Published: 19 August 2019
(This article belongs to the Section Hydrology)
Satellite-based precipitation (SBP) products with global coverage have the potential to overcome the lack of information in places where there are no rain gauges to perform hydrological analyses; however, it is necessary to evaluate the reliability of the SBP products. In this study, we evaluated the performance of the Climate Prediction Center morphing technique with corrected bias (CMORPH-CRT) product in 14 sites in Mexico. The evaluation was carried out using two approaches: (1) using categorical metrics that include indicators of probability of detection (POD), false alarm rate (FAR), critical success index (CSI), and frequency bias index (FBI); and (2) through statistical indicators such as the mean absolute error (MAE), root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC). The analysis was carried out with two levels of temporal aggregation: 30 min and daily. The results indicate that the CMORPH-CRT product overestimates the number of precipitation events in most cases since FBI values greater than 1 in 78.6% of analyzed stations were obtained. Also, we obtained CC values in the range of 0.018 to 0.625, which implied weak to moderate correlations, and found that in all stations, the CMORPH-CRT product overestimates the precipitation (RB > 0). View Full-Text
Keywords: satellite-based precipitation products; CMORPH; Mexico; categorical metrics; accuracy evaluation satellite-based precipitation products; CMORPH; Mexico; categorical metrics; accuracy evaluation
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Bruster-Flores, J.L.; Ortiz-Gómez, R.; Ferriño-Fierro, A.L.; Guerra-Cobián, V.H.; Burgos-Flores, D.; Lizárraga-Mendiola, L.G. Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates. Water 2019, 11, 1722.

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