EventsThe 4th International Electronic Conference on Atmospheric Sciences
Published
with-doi10.3390/ecas2021-10341 (registering DOI)
This submission belongs to the session S5. Meteorology of the event The 4th International Electronic Conference on Atmospheric Sciences
Published date
22 Jun, 2021
Academic Editor
author-avatarAnthony Lupo
Citation
Maykel Marquez-Mijares, Lisandra Fundora-Jiménez, Carlos Javier Gamboa-Villafruela, José Carlos Fernández-Álvarez, Albenis Pérez-Alarcón, Alfo José Batista-Leyva, Evaluation of Gridded GPM Precipitation Dataset over Cuba., in Proceedings of The 4th International Electronic Conference on Atmospheric Sciences, 16 July–31 July 2021, MDPI: Basel, Switzerland, doi: 10.3390/ecas2021-10341
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Evaluation of Gridded GPM Precipitation Dataset over Cuba.

Lisandra Fundora-Jiménez 1
Carlos Javier Gamboa-Villafruela 1
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Alfo José Batista-Leyva 1
1. Instituto Superior de Tecnologías y Ciencias Aplicadas. Universidad de La Habana. Cuba.
2. Environmental Physics Laboratory, CIM-UVigo, Universidad de Vigo, Ourense, España.
Abstract

Precipitation measurement is essential for most environmental studies, such as drought monitoring, watershed operations and water hazard management. The development of satellite products has improved their applicability in environmental models and could offer an alternative to gauge-based precipitation data, particularly in areas where there is not a sufficient number of meteorological stations, but they need to be evaluated in different areas using data terrestrial as references. This research aims to carry out a validation of the product of Integrated Recoveries from Multiple Satellites (IMERG) of global precipitation measurement (GPM) for the network of meteorological stations in Havana, Cuba. The study focused on investigating the performance of GPM IMERG (Early) products every 30 minutes by comparing them with rain gauge data on land at meteorological stations (2014-2020). The performance of the GPM IMERG was evaluated using different interpolation methods and performing a statistical analysis. The results obtained allow to choose the best interpolating method, as well as to evaluate the temporal and spatial precision of the satellite data. Further work will expand the findings and methods to the Cuban meteorological stations network.

Keywords
data terrestrial
GPM-IMERG dataset
statistical analysis
interpolation methods
Manuscript
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