PM
Académico · Postgrado UdeC
PAUL ANDRES MUÑOZ PAUTA
Doctor en Recursos Hídricos
Universidad de Cuenca
paulmunoz@udec.cl-
Evaluating the three-cornered hat method for hourly satellite precipitation fusion in hydrological forecasting: A case study in a Tropical Andean Basin
JOURNAL OF HYDROLOGY-REGIONAL STUDIES 2026 ARTÍCULO WOS - SCOPUS AUTOR
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Variable renewables fortify Ecuador's power system against recurrences of drought-driven energy crises
NATURE WATER 2026 ARTÍCULO WOS - SCOPUS AUTOR
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Wikimpacts 1.0: a new global climate impact database based on automated information extraction from Wikipedia
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 2026 ARTÍCULO WOS - SCOPUS AUTOR
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Reducing Latency in Satellite-Based Precipitation Estimates Using GOES-16 and Machine Learning
JOURNAL OF HYDROLOGIC ENGINEERING 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-net convolutional neural network modelling approach
ENVIRONMENTAL MODELLING & SOFTWARE 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Predicting the Evolution of Extreme Water Levels With Long Short-Term Memory Station-Based Approximated Models and Transfer Learning Techniques
WATER RESOURCES RESEARCH 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Impacts of irrigation expansion on moist-heat stress based on IRRMIP results
NATURE COMMUNICATIONS 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Precipitation forecasting using random forest over an ecuadorian andes basin
METEOROLOGY AND ATMOSPHERIC PHYSICS 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models
NATURAL HAZARDS 2025 ARTÍCULO WOS - SCOPUS AUTOR
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Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data
WATER 2024 ARTÍCULO WOS - SCOPUS AUTOR
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Use of Near-Real-Time Satellite Precipitation Data and Machine Learning to Improve Extreme Runoff Modeling
SIN REVISTA 2024 CAPÍTULO DE LIBRO AUTOR -
Near-real-time satellite precipitation data ingestion into peak runoff forecasting models
ENVIRONMENTAL MODELLING & SOFTWARE 2023 ARTÍCULO WOS - SCOPUS AUTOR
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Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin
FRONTIERS IN WATER 2023 ARTÍCULO EMERGENTE - SCOPUS AUTOR