MODELADO DE REGÍMENES CLIMÁTICOS ESPACIO TEMPORALES EN LA SIERRA CENTRAL ECUATORIANA MEDIANTE CLÚSTERING DINÁMICO UTILIZANDO DATOS DE TEMPERATURA Y PRECIPITACIÓN DE LA NASA

Geovanny Miranda; Cristina Ramos

doi:10.47187/perf.v1i34.364

Authors

Geovanny Miranda Escuela Superior Politécnica de Chimborazo, Informática y Electrónica, Riobamba, Ecuador
Cristina Ramos Escuela Superior Politécnica de Chimborazo, Ciencias, Riobamba, Ecuador

DOI:

https://doi.org/10.47187/perf.v1i34.364

Keywords:

Dynamic clúster, precipitation, temperature, climate, ecosystem, tropical andes

Abstract

Climate change has been evident in the Central Sierra of Ecuador, where the complex Andean topography is affected by climatic variations. This study used daily spatial data of maximum temperature (CHIRTS) and precipitation (CHIRPS) to identify and model the region's climate regimes using dynamic clustering. The technique demonstrated high cluster separation efficiency, based on temperature and precipitation classification indices of 0.98% and 0.99%. Four climate types (WT) were identified in terms of temperature and precipitation. WT2 presented moderate thermal conditions, but not the extremes characteristic of regions such as the Coast and the Amazon. WT4 also presented frequent low temperatures and scarce occurrence of extreme thermal events, a climate regime characteristic of the Central Sierra, especially in high mountain areas. Precipitation was observed to be infrequent but constant in Andean areas (WT1), while WT2 and WT3 presented scarce but frequent precipitation in more arid regions such as the Coast and Southern Sierra. The findings contribute to a spatial and temporal understanding of the region's climate, which is essential for environmental planning and climate change management.

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