| Flash-flood forecasting in an Andean mountain catchment—development of a step-wise methodology based on the random forest algorithm P Muñoz, J Orellana-Alvear, P Willems, R Célleri Water 10 (11), 1519, 2018 | 100 | 2018 |
| From local to regional compound flood mapping with deep learning and data fusion techniques DF Muñoz, P Muñoz, H Moftakhari, H Moradkhani Science of the Total Environment 782, 146927, 2021 | 67 | 2021 |
| Effect of the resolution of tipping-bucket rain gauge and calculation method on rainfall intensities in an Andean mountain gradient P Muñoz, R Célleri, J Feyen Water 8 (11), 534, 2016 | 38 | 2016 |
| Influence of random forest hyperparameterization on short-term runoff forecasting in an andean mountain catchment P Contreras, J Orellana-Alvear, P Muñoz, J Bendix, R Célleri Atmosphere 12 (2), 238, 2021 | 26 | 2021 |
| Assessment of native radar reflectivity and radar rainfall estimates for discharge forecasting in mountain catchments with a random forest model J Orellana-Alvear, R Célleri, R Rollenbeck, P Muñoz, P Contreras, ... Remote Sensing 12 (12), 1986, 2020 | 22 | 2020 |
| Flood early warning systems using machine learning techniques: The case of the Tomebamba Catchment at the southern Andes of Ecuador P Muñoz, J Orellana-Alvear, J Bendix, J Feyen, R Célleri Hydrology 8 (4), 183, 2021 | 14 | 2021 |
| Fusing multisource data to estimate the effects of urbanization, sea level rise, and hurricane impacts on long-term wetland change dynamics DF Muñoz, P Muñoz, A Alipour, H Moftakhari, H Moradkhani, B Mortazavi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 14 | 2021 |
| Effect of the resolution of tipping-bucket rain gauge and calculation method on rainfall intensities in an andean mountain gradient. Water, 8 (11): 534 P Muñoz, R Célleri, J Feyen Online: http://bit. ly/2wi7k3H, 2016 | 6 | 2016 |
| Near-real-time satellite precipitation data ingestion into peak runoff forecasting models P Muñoz, G Corzo, D Solomatine, J Feyen, R Célleri Environmental Modelling & Software 160, 105582, 2023 | 5 | 2023 |
| Application of a machine learning technique for developing short-term flood and drought forecasting models in tropical mountainous catchments P Muñoz, J Orellana-Alvear, R Célleri Integrated Research on Disaster Risks: Contributions from the IRDR Young …, 2021 | 5 | 2021 |
| Long short-term memory networks for real-time runoff forecasting using remotely sensed data P Muñoz, DF Muñoz, J Orellana-Alvear, H Moftakhari, H Moradkhani, ... EGU General Assembly Conference Abstracts, EGU21-13900, 2021 | 3 | 2021 |
| Use of Near‐Real‐Time Satellite Precipitation Data and Machine Learning to Improve Extreme Runoff Modeling P Muñoz, GA Corzo Perez, DP Solomatine, J Feyen, R Célleri Advanced Hydroinformatics: Machine Learning and Optimization for Water …, 2024 | 1 | 2024 |
| Comparison of Machine Learning Techniques Powering Flood Early Warning Systems. Application to a catchment located in the Tropical Andes of Ecuador. P Munoz, J Orellana-Alvear, J Bendix, R Célleri EGU General Assembly Conference Abstracts, 4243, 2020 | 1 | 2020 |
| Enhancing Reservoir Management for Sustainable Hydropower Generation: A Machine Learning-Driven Approach in Response to Increasing Extreme Events in Ecuador MJ Merizalde, G Corzo, P Muñoz, P Guzmán, E Samaniego, R Célleri EGU24, 2024 | | 2024 |
| Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data J Álvarez-Estrella, P Muñoz, J Bendix, P Contreras, R Célleri Water 16 (7), 968, 2024 | | 2024 |
| Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin MJ Merizalde, P Muñoz, G Corzo, DF Muñoz, E Samaniego, R Célleri Frontiers in Water 5, 1233899, 2023 | | 2023 |
| Feature engineering strategies based on GIS and the SCS-CN method for improving hydrological forecasting in a complex mountain basin M José Merizalde, P Muñoz, G Corzo, R Célleri EGU General Assembly Conference Abstracts, EGU-10937, 2023 | | 2023 |
| Flood Early Warning Systems using Machine Learning Techniques. Application to a Catchment located in the Tropical Andes of Ecuador. P Muñoz, J Orellana-Alvear, J Bendix, R Célleri | | 2021 |
| Large-scale compound flood mapping with deep learning and data fusion techniques DF Muñoz, P Muñoz, H Moftakhari, H Moradkhani EGU General Assembly Conference Abstracts, EGU21-1454, 2021 | | 2021 |
| Influence of rainfall and boundary conditions complexity in the prediction power of surrogate urban flood models based on neural networks A González-Iñiguez, P Muñoz, P Willems | | 2021 |
Rolando Célleri AlvearProfesor, Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, EcuadorGeverifieerd e-mailadres voor ucuenca.edu.ec
