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Author

Paúl Muñoz

Observed names: Munoz, Paul, Paul Munoz, Paul Muñoz
Observed institutions: Vrije Universiteit Brussel, University of Concepción, University of Cuenca, Politecnica Salesiana University, Virginia Tech, KU Leuven
ORCID: 0000-0002-8000-8840
Observed ORCID: 0000-0002-8000-8840
OpenAlex ID: A5027772992
From local to regional compound flood mapping with deep learning and data fusion techniques
2021 · David F. Muñoz, Paul Muñoz, et al. · The Science of The Total Environment · 171
Flash-Flood Forecasting in an Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm
2018 · Paul Muñoz, Johanna Orellana-Alvear, et al. · Water · 121
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Influence of Random Forest Hyperparameterization on Short-Term Runoff Forecasting in an Andean Mountain Catchment
2021 · Pablo Contreras, Johanna Orellana-Alvear, et al. · Atmosphere · 85
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Effect of the Resolution of Tipping-Bucket Rain Gauge and Calculation Method on Rainfall Intensities in an Andean Mountain Gradient
2016 · Paul Muñoz, Rolando Célleri, et al. · Water · 48
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Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment at the Southern Andes of Ecuador
2021 · Paul Muñoz, Johanna Orellana-Alvear, et al. · Hydrology · 43
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Impacts of irrigation expansion on moist-heat stress based on IRRMIP results
2025 · Yi Yao, Agnès Ducharne, et al. · Nature Communications · 31
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Fusing Multisource Data to Estimate the Effects of Urbanization, Sea Level Rise, and Hurricane Impacts on Long-Term Wetland Change Dynamics
2021 · David F. Munoz, Paul Munoz, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 25
Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model
2020 · Johanna Orellana-Alvear, Rolando Célleri, et al. · Remote Sensing · 25
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Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques
2025 · Samuel Daramola, David F. Muñoz, et al. · Water Resources Research · 22
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Near-real-time satellite precipitation data ingestion into peak runoff forecasting models
2022 · Paul Muñoz, Gerald Corzo, et al. · Environmental Modelling & Software · 21
Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin
2023 · María José Merizalde, Paul Muñoz, et al. · Frontiers in Water · 20
Wikimpacts 1.0: a new global climate impact database based on automated information extraction from Wikipedia
2026 · Ni Li, Wim Thiery, et al. · Natural hazards and earth system sciences · 8
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Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models
2024 · Paul Muñoz, David F. Muñoz, et al. · Natural Hazards · 7
Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data
2024 · Julio Álvarez-Estrella, Paul Muñoz, et al. · Water · 7
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Precipitation forecasting using random forest over an ecuadorian andes basin
2024 · Martín Montenegro, Rolando Célleri, et al. · Meteorology and Atmospheric Physics · 6
Application of a Machine Learning Technique for Developing Short-Term Flood and Drought Forecasting Models in Tropical Mountainous Catchments
2021 · Paul Muñoz, Johanna Orellana-Alvear, et al. · Disaster risk reduction · 5
Use of Near‐Real‐Time Satellite Precipitation Data and Machine Learning to Improve Extreme Runoff Modeling
2023 · Paul Muñoz, Gerald A. Corzo Perez, et al. · Special publications · 2
Use of near-real-time satellite precipitation data and machine learning to improve extreme runoff modeling
2021 · Paul Muñoz, Gerald Augusto Corzo Perez, et al. · 2
Long Short-Term Memory Networks for Real-Time Runoff Forecasting using Remotely Sensed Data
2021 · Paul Muñoz, David F. Muñoz, et al. · EGU General Assembly Conference Abstracts · 2
Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-net convolutional neural network modelling approach
2025 · Mateo Vélez-Hernández, Paul Muñoz, et al. · Environmental Modelling & Software · 1
Comparison of Machine Learning Techniques Powering Flood Early Warning Systems. Application to a catchment located in the Tropical Andes of Ecuador.
2020 · Paul Munoz, Johanna Orellana-Alvear, et al. · 1
Climate-aware reliability assessment of distribution networks using Monte Carlo simulation and deep neural network forecasting
2026 · Alexander Aguila Téllez, Narayanan Krishnan, et al. · International Journal of Electrical Power & Energy Systems
Wikimpacts — A global climate impact database based on automated information extraction from Wikipedia
2026 · Li, Ni, Thiery, Wim, et al. · Bolin Centre Database
Bridging the Data Latency Gap for Real-Time Precipitation Monitoring: A U-Net CNN Approach Using GOES-16 in the Tropical Andes
2026 · Mateo Velez, Paul Muñoz, et al. · EGU General Assembly Conference Abstracts
Evaluating the three-cornered hat method for hourly satellite precipitation fusion in hydrological forecasting: A case study in a Tropical Andean Basin
2026 · Patricio Luna Abril, Paul Muñoz, et al. · Journal of Hydrology Regional Studies
Works count: 46
Citation count: 653
H-index: 11
I10-index: 11
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