8 citations · 8 across the 5 of their papers we have counts for
5 papers
Ensemble-Conditional Gaussian Processes (Ens-CGP): Representation, Geometry, and Inference
Sai Ravela, Jae Deok Kim, Kenneth Gee +4
We formulate Ensemble-Conditional Gaussian Processes (Ens-CGP), a finite-dimensional synthesis that centers ensemble-based inference on the conditional Gaussian law. Conditional Ga…
Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate
Anamitra Saha, Sai Ravela
As climate change drives an increase in global extremes, it is critical for Bangladesh, a nation highly vulnerable to these impacts, to assess future risks for effective adaptation…
Rapid Statistical-Physical Adversarial Downscaling Reveals Bangladesh's Rising Rainfall Risk in a Warming Climate
Anamitra Saha, Sai Ravela
In Bangladesh, a nation vulnerable to climate change, accurately quantifying the risk of extreme weather events is crucial for planning effective adaptation and mitigation strategi…
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data
Joaquin Salas, Anamitra Saha, Sai Ravela
Flooding is one of the most disastrous natural hazards, responsible for substantial economic losses. A predictive model for flood-induced financial damages is useful for many appli…
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning
Anamitra Saha, Sai Ravela
Modeling the risk of extreme weather events in a changing climate is essential for developing effective adaptation and mitigation strategies. Although the available low-resolution…