Publications

Peer-reviewed articles

1. Vélez-Hernández, M., Muñoz, P., Samaniego, E., Merizalde, M. J., & Célleri, R. (2025). Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-Net convolutional neural network modelling approach. . Environmental Modelling & Software, 106457.
2. Daramola, S., Muñoz, D. F., Muñoz, P., Saksena, S., & Irish, J. L. (2025). Predicting the Evolution of Extreme Water Levels With Long Short-Term Memory Station-Based Approximated Models and Transfer Learning Techniques . Water Resources Research, 61,e2024WR039054.
3. Yao, Y., Ducharne, A., Cook, B. I., ..., Muñoz, P.,... & Thiery, W. (2025). Impacts of irrigation expansion on moist-heat stress based on IRRMIP results . Nature Communications, 16(1), 1045.
4. Montenegro, M., Célleri, R., Orellana-Alvear, J., Muñoz, P., & Córdova, M. (2025). Precipitation forecasting using random forest over an ecuadorian andes basin . Meteorology and Atmospheric Physics, 137(1), 1-12.
5. Muñoz, P., Muñoz, D. F., Orellana-Alvear, J., & Célleri, R. (2024). Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models . Natural Hazards, 1-23.
6. Álvarez-Estrella, J., Muñoz, P., Bendix, J., Contreras, P., & Célleri, R. (2024). Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data . Water, 16(7), 968.
7. Muñoz, P., Corzo, G., Solomatine, D., Feyen, J., & Célleri, R. (2023). Near-real-time satellite precipitation data ingestion into peak runoff forecasting models . Environmental Modelling & Software, 160, 105582.
8. Merizalde, M. J., Muñoz, P., Muñoz, D. F., Corzo, G., Samaniego, E., & Célleri, R. (2023). Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin . Frontiers in Water.
9. Muñoz, P., Orellana-Alvear, J., Bendix, J., Feyen, J., & Célleri, R. (2021). Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment in the Southern Andes of Ecuador . Hydrology, 8(4), 183.
10. Muñoz, D. F., Muñoz, P., Alipour, A., Moftakhari, H., Moradkhani, H., & Mortazavi, B. (2021). Fusing multi-source data to estimate the effects of urbanization, sea level rise, and hurricane impacts on long-term wetland change dynamics . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
11. Contreras, P., Orellana-Alvear, J., Muñoz, P., Bendix, J., & Célleri, R. (2021). Influence of Random Forest Hyperparameterization on Short-Term Runoff Forecasting in an Andean Mountain Catchment . Atmosphere, 12(2), 238.
12. Muñoz, D. F., Muñoz, P., Moftakhari, H., & Moradkhani, H. (2021). From local to regional compound flood mapping with deep learning and data fusion techniques . Science of the Total Environment, 782, 146927.
13. Orellana-Alvear, J., Célleri, R., Rollenbeck, R., Muñoz, P., Contreras, P., & Bendix, J. (2020). Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model . Remote Sensing, 12(12), 1986.
14. Muñoz, P., Orellana-Alvear, J., Willems, P., & Célleri, R. (2018). Flash-Flood Forecasting in an Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm . Water, 10, 1519.
15. Muñoz, P., Célleri, R., & Feyen, J. (2016). Effect of the Resolution of Tipping-Bucket Rain Gauge and Calculation Method on Rainfall Intensities in an Andean Mountain Gradient . Water, 8, 534.

Peer-reviewed book chapters

1. Muñoz, P., Corzo, G., Solomatine, D., Feyen, J., & Célleri, R. (2023). Use of Near-Real-Time Satellite Precipitation Data and Machine Learning to Improve Extreme Runoff Modeling . AGU Books: Hydroinformatics. Accepted.
2. Muñoz, P., Orellana-Alvear, J., & Célleri, R. (2021). Application of a Machine Learning Technique for Developing Short-Term Flood and Drought Forecasting Models in Tropical Mountainous Catchments . In Integrated Research on Disaster Risks (pp. 11-35). Springer, Cham.