Research

Publications

Articles in indexed journals and presentations at national and international conferences. Names with a dotted underline are students.

32 articles31 presentations Download BibTeX (.bib)

Articles

2026

  1. Semi-Bayesian Space-Time Hierarchical Framework for Modeling and Prediction of Seasonal and Extreme Precipitation in the U.S. Northern Great Plains
    Samba Siva Sai Prasad Thota; Balaji Rajagopalan; Imtiaz Rangwala; Álvaro Ossandón
    Water Resources Researchdoi:10.1029/2025wr041467 (opens in a new tab)

2025

  1. Study of teleconnection between hydrological variables and climatological variables in a headwater basin of the Maipo River for forecast model application
    Javiera Montalva; Álvaro Ossandón; Lina Castro
    Tecnología y ciencias del aguadoi:10.24850/j-tyca-2025-04-04 (opens in a new tab)
  2. Bayesian hierarchical network model for forecasting daily river stage for rainfed river networks
    Naman K. Rastogi; Balaji Rajagopalan; Álvaro Ossandón
    Journal of Hydrologydoi:10.1016/j.jhydrol.2025.132894 (opens in a new tab)

2023

  1. Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework
    Álvaro Ossandón; Balaji Rajagopalan; William Kleiber
    Water Resources Researchdoi:10.1029/2022WR033194 (opens in a new tab)

2022

  1. A Bayesian Hierarchical Model Combination Framework for Real-Time Daily Ensemble Streamflow Forecasting Across a Rainfed River Basin
    Álvaro Ossandón; Balaji Rajagopalan; Amar Deep Tiwari; Thomas Thomas; Vimal Mishra
    Earth's Futuredoi:10.1029/2022EF002958 (opens in a new tab)

2021

  1. A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting
    Álvaro Ossandón; Balaji Rajagopalan; Upmanu Lall; J. S. Nanditha; Vimal Mishra
    Water Resources Researchdoi:10.1029/2021WR029920 (opens in a new tab)

2019

  1. A multiple-parameter methodology for placement of tsunami sensor networks
    Joaquin Meza; Patricio Catalan; Hiroaki Tsushima
    Pure and Applied Geophysicsdoi:10.1007/s00024-019-02381-3 (opens in a new tab)