activity
20232026
most citedFully fluorinated non-carbon compounds NF3 and SF6 as ideal technosignature gases

11 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

The Neuro-Physical Inverter: A Modular Framework for Magnetotelluric Inversion Coupling Ensemble Conditioning with Residual Learning

Jae Deok Kim, Sai Ravela, Rob. L. Evans

We present the Neuro-Physical Inverter (NPI), a modular, uncertainty-aware framework for geophysical inversion that couples ensemble-based conditioning with constrained residual le…

math.ST2026

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…

cs.LG2026

Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data

Kenneth Gee, Sai Ravela

Tropical cyclones are among the most consequential weather hazards, yet estimates of their risk are limited by the relatively short historical record. To extend these records, rese…

physics.ao-ph2025

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes

Grace Jiang, Jiangchao Qiu, Sai Ravela

Identifying tropical cyclones that generate destructive storm tides for risk assessment, such as from large downscaled storm catalogs for climate studies, is often intractable beca…

physics.ao-ph2024

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…

physics.ao-ph2024

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…

physics.ao-ph2023★ 1 cited

Bangladesh's Amplified Coastal Storm Tide Hazard from Tropical Cyclones and Rising Sea Levels in a Warming Climate

Jiangchao Qiu, Sai Ravela, Kerry Emanuel

The risk of extreme storm tides to Bangladesh's low-lying and densely populated coastal regions, already vulnerable to tropical cyclones, remains poorly quantified under a warming…

astro-ph.EP2023★ 11 cited

Fully fluorinated non-carbon compounds NF3 and SF6 as ideal technosignature gases

Sara Seager, Janusz J. Petkowski, Jingcheng Huang +3

Waste gas products from technological civilizations may accumulate in an exoplanet atmosphere to detectable levels. We propose nitrogen trifluoride (NF3) and sulfur hexafluoride (S…