| Wave energy assessment in the central-south coast of Chile F Lucero, PA Catalán, Á Ossandón, J Beyá, A Puelma, L Zamorano Renewable Energy 114, 120-131, 2017 | 41 | 2017 |
| Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis Á Ossandón, B Rajagopalan, W Kleiber Journal of Hydrology 600, 126499, 2021 | 25 | 2021 |
| A Bayesian hierarchical network model for daily streamflow ensemble forecasting A Ossandon, B Rajagopalan, U Lall, JS Nanditha, V Mishra Water Resources Research 57 (9), e2021WR029920, 2021 | 15 | 2021 |
| A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow Á Ossandón, MI Brunner, B Rajagopalan, W Kleiber Hydrology and Earth System Sciences 26 (1), 149-166, 2022 | 12 | 2022 |
| A Bayesian Hierarchical Model Combination Framework for Real‐Time Daily Ensemble Streamflow Forecasting Across a Rainfed River Basin Á Ossandón, B Rajagopalan, AD Tiwari, T Thomas, V Mishra Earth's Future 10 (12), e2022EF002958, 2022 | 6 | 2022 |
| A Bayesian hierarchical framework for postprocessing daily streamflow simulations across a river network A Ossandon, N JS, PA Mendoza, B Rajagopalan, V Mishra Journal of Hydrometeorology 23 (6), 947-963, 2022 | 4 | 2022 |
| A space-time Bayesian hierarchical modeling framework for projection of seasonal streamflow extremes A Ossandon, MI Brunner, B Rajagopalan, W Kleiber Hydrology and Earth System Sciences, 2021 | 3 | 2021 |
| Caracterización del Recurso Energético del Oleaje en la Zona Centro-Sur de Chile ÁH Ossandón Álvarez M.Sc. Thesis, Universidad Tecnica Federico Santa Maria, 2014 | 3* | 2014 |
| Selección de Climas de Oleaje Mediante Métodos de Agrupamiento F Lucero, Á Ossandon, PA Catalán XXI Congreso Chileno de Ingeniería Hidráulica, 2013 | 2 | 2013 |
| Snow persistence and snow line elevation trends in a snowmelt-driven basin in the central Andes and their correlations with hydroclimatic variables F Aranda, D Medina, L Castro, Á Ossandón, R Ovalle, RP Flores, ... Remote Sensing 15 (23), 5556, 2023 | | 2023 |
| Forecasting magnitude and frequency of seasonal streamflow extremes using a Bayesian hierarchical framework Á Ossandón, B Rajagopalan, W Kleiber Water Resources Research 59 (7), e2022WR033194, 2023 | | 2023 |
| A space-time Bayesian Hierarchical modeling approach for streamflow extremes in the Krishna River basin of South India SSSP Thota, Á Ossandón, B Rajagopalan, S Regonda Authorea Preprints, 2022 | | 2022 |
| Experimental daily ensemble streamflow forecasting system using physical model output in a Bayesian hierarchical framework Á Ossandón, B Rajagopalan, A Tiwari, V Mishra Authorea Preprints, 2022 | | 2022 |
| Spatial-temporal Bayesian hierarchical model for summer monsoon precipitation extremes over India W Kleiber, Á Ossandón, B Rajagopalan Authorea Preprints, 2022 | | 2022 |
| Bayesian hierarchical frameworks for modeling and forecasting streamflow and extremes in rainfed river networks AH Ossandón University of Colorado Boulder, 2022 | | 2022 |
| A space–time Bayesian hierarchical modeling framework for projection of seasonal high flow risk ÁH Ossandón, B Rajagopalan Frontiers in Hydrology 2022, 405-05, 2022 | | 2022 |
| Bayesian Hierarchical Modeling Approaches for Hydroclimate Risk Assessment and Management B Rajagopalan, A Ossandon, M Brunner, W Kleiber, V Mishra AGU Fall Meeting Abstracts 2021, H44G-08, 2021 | | 2021 |
| A Coupled Physical-Statistical Model for Daily Streamflow Forecasting JS Nanditha, ÁH Ossandón, B Rajagopalan, V Mishra AGU Fall Meeting 2020, 2020 | | 2020 |
| A Bayesian Hierarchical Network Model for Daily Streamflow Forecasting ÁH Ossandón, B Rajagopalan, U Lall, V Mishra, JS Nanditha AGU Fall Meeting 2020, 2020 | | 2020 |
| A Space-Time Modeling Framework for Projection of Seasonal Streamflow Extremes W Kleiber, ÁH Ossandón, B Rajagopalan, MI Brunner AGU Fall Meeting 2020, 2020 | | 2020 |
Balaji RajagopalanProfessor, Department of Civil, Env. and Arch. Engineering, University of Colorado, Boulder, CO, USAVerified email at colorado.edu
