Research
Research Themes
Theme 1: Global Warming and Hydro-climatic Extremes
Global warming is altering the characteristics of extreme hydro-climatic events including heavy storms, droughts, heatwaves and wildfires. We aim to understand these changes both in the observational record and future climate model projections using advanced data analytic tools of machine learning and statistical analysis. A main science question in our group is how can we detect robust signals of change in extreme events that are an impact-relevant in order to inform climate change adaptation.
Ombadi, M. et al., Nature 2023
A warming-induced reduction in snow fraction amplifies rainfall extremes
Tags: Climate Extremes
Theme 2: Hydrologic Remote Sensing
How can we utilize remotely-sensed observations, specifically satellite-based estimates of precipitation, to inform engineering design and climate change studies? How can we improve the retrieval of precipitation estimates from satellites using advanced data-driven approaches? Our research in this theme is driven by these questions.
Ombadi, M. et al., Water Resources Research 2018
Ombadi, M. et al., Journal of Hydrometeorlogy 2021
Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin
Tags: Remote Sensing for Water Sustainability
Ombadi, M. et al., Atmospheric Research 2021
How much Information on Precipitation is Contained in Satellite Infrared Imagery?
Tags: Remote Sensing for Water Sustainability, Data Science for Water Sustainability
Nguyen, P., Ombadi, M., et al., Hydrology & Earth System Science 2018
The PERSIANN family of global satellite precipitation data: a review and evaluation of products
Nguyen, P., Ombadi, M., et al., Journal of Hydrometeorology 2021
Theme 3: Machine Learning and AI for Hydrologic Applications
How can we utilize remotely-sensed observations, specifically satellite-based estimates of precipitation, to inform engineering design and climate change studies? How can we improve the retrieval of precipitation estimates from satellites using advanced data-driven approaches? Our research in this theme is driven by these questions.
Ombadi, M. et al., Water Resources Research 2020
Evaluation of methods for causal discovery in hydrometeorological systems
Ombadi, M. & Varadharajan, C.
Water Research 2022
Ombadi, M. et al., Journal of Hydrology 2021
Complexity of hydrologic basins: A chaotic dynamics perspective