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Remote Sens. 2017, 9(5), 503; doi:10.3390/rs9050503

Evaluation of Error in IMERG Precipitation Estimates under Different Topographic Conditions and Temporal Scales over Mexico

Department of Physics, University Centre for Exact Sciences and Engineering, University of Guadalajara, Guadalajara 44430, Jalisco, Mexico
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Academic Editors: Gabriel Senay, Magaly Koch and Prasad S. Thenkabail
Received: 17 March 2017 / Revised: 13 May 2017 / Accepted: 17 May 2017 / Published: 19 May 2017
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Abstract

This study evaluates the precipitation product of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) over the Mexican region during the period between April 2014 and October 2015 using three different time scales for cumulative precipitation (hourly, daily and seasonal). Also, the IMERG data have been analyzed as a function of elevation given the rain gauges from the automatic meteorological stations network, located within the area of study, which are used as a reference. In the present study, continuous and categorical statistics are used to evaluate IMERG. It was found that IMERG showed better performance at the daily and seasonal time scale resolutions. While hourly precipitation estimates reached a mean correlation coefficient of 0.35, the daily and seasonal precipitation estimates achieved correlations over 0.51. In addition, the IMERG precipitation product was able to reproduce the diurnal and daily cycles of the average precipitation with a trend towards overestimating rain gauges. However, extreme precipitation events were highly underestimated, as shown by relative biases of −61% and −46% for the hourly and daily precipitation analysis, respectively. It was also found that IMERG tends to improve precipitation detection and to decrease magnitude errors over the higher terrain elevations of Mexico. View Full-Text
Keywords: Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG); satellite precipitation estimates; statistical analysis; remote sensing; Mexico Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG); satellite precipitation estimates; statistical analysis; remote sensing; Mexico
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mayor, Y.G.; Tereshchenko, I.; Fonseca-Hernández, M.; Pantoja, D.A.; Montes, J.M. Evaluation of Error in IMERG Precipitation Estimates under Different Topographic Conditions and Temporal Scales over Mexico. Remote Sens. 2017, 9, 503.

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