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Hydrological Monitoring and Forecasting

Advanced technologies for predicting and monitoring hydrological conditions.

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Faculty

Joaquín Meza

Assistant Professor

Eng. MSc, PhD in Civil and Environmental Engineering, University of California, Davis, USA

Álvaro Ossandón

Assistant Professor

Eng. MSc, PhD in Civil Engineering, University of Colorado at Boulder, USA

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 (se abre en otra pestaña)

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 (se abre en otra pestaña)
  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 (se abre en otra pestaña)

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 (se abre en otra pestaña)

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 (se abre en otra pestaña)

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 (se abre en otra pestaña)

2019

  1. A multiple-parameter methodology for placement of tsunami sensor networks
    Joaquin Meza; Patricio Catalan y Hiroaki Tsushima
    Pure and Applied Geophysicsdoi:10.1007/s00024-019-02381-3 (se abre en otra pestaña)