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Evaluation of Multi-Satellite Rainfall Measured and Automatic Rain Gauges

Author(s): Claudia Lizeth Garcia Perez; Joel Hernandez Bedolla; Sonia Tatiana Sanchez Quispe

Linked Author(s): SONIA TATIANA SANCHEZ QUISPE

Keywords: Rainfall; Multi-satellite; Rain gauges

Abstract: In Mexico, there is not a correct measurement of climatological variables because of insufficient instruments and measurement techniques. The information most used for analysis comes from meteorological stations. The records that do exist are on daily scales, so it is imperative to have more discretized scales, in the order of hours and minutes. Therefore, it is necessary to use precipitation information from satellite databases. Satellite measurements can provide a unique macroscale view of precipitation patterns that cannot be obtained with ground-based point observations, and the databases also have small time scales. The objective of this paper was to compare precipitation information from multiple satellites (TRMM, GOES and GPM) with respect to automatic meteorological and pluviometric stations (Ooapas and CONAGUA) for the city of Morelia Michoacan, to verify the reliability of the estimated data obtained directly from the respective databases. Then, mean, standard deviation, skewness and correlation statistics at different time scales were used for the multi-satellite and weather station measurements. A low correlation was found between the satellite information and the measured information, which showed that the series follow different rates of variation in the precipitation data. Therefore, it is recommended to make a bias correction to the satellite precipitation series that can represent the variation of precipitation appropriately, which can complement the ground measurements of this variable. It is understood that satellite measurements are an indirect measure of precipitation, so they tend to be overestimated or underestimated depending on the area being analyzed.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0484-cd

Year: 2023

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