24 citations · 41 across the 15 of their papers we have counts for
7 papers · 1 filter
Learning to forecast diagnostic parameters using pre-trained weather embedding
Peetak P. Mitra, Vivek Ramavajjala
Data-driven weather prediction (DDWP) models are increasingly becoming popular for weather forecasting. However, while operational weather forecasts predict a wide variety of weath…
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns
Subhashis Hazarika, Haruki Hirasawa, Sookyung Kim +6
Clouds have a significant impact on the Earth's climate system. They play a vital role in modulating Earth's radiation budget and driving regional changes in temperature and precip…
Verification against in-situ observations for Data-Driven Weather Prediction
Vivek Ramavajjala, Peetak P. Mitra
Data-driven weather prediction models (DDWPs) have made rapid strides in recent years, demonstrating an ability to approximate Numerical Weather Prediction (NWP) models to a high d…
Improving CFD simulations by local machine-learned correction
Peetak Mitra, Majid Haghshenas, Niccolo Dal Santo +2
High-fidelity computational fluid dynamics (CFD) simulations for design space explorations can be exceedingly expensive due to the cost associated with resolving the finer scales.…
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay +6
The availability of training data remains a significant obstacle for the implementation of machine learning in scientific applications. In particular, estimating how a system might…
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem
Haruki Hirasawa, Sookyung Kim, Peetak Mitra +6
Marine cloud brightening (MCB) is a proposed climate intervention technology to partially offset greenhouse gas warming and possibly avoid crossing climate tipping points. The impa…
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
Feras A. Batarseh, Priya L. Donti, Ján Drgoňa +14
Climate change is one of the most pressing challenges of our time, requiring rapid action across society. As artificial intelligence tools (AI) are rapidly deployed, it is therefor…