5 citations · 5 across the 2 of their papers we have counts for
3 papers
Generative Model Proposal based Particle Filtering for Data Assimilation
Chandni Nagda, Mayank Shrivastava, Gudrun Thorkelsdottir +3
Data assimilation models state dynamics conditioned on sequential observations, and has wide-ranging scientific applications. In the filtering setting, the goal is to model the pos…
Towards Causal Representations of Climate Model Data
Julien Boussard, Chandni Nagda, Julia Kaltenborn +5
Climate models, such as Earth system models (ESMs), are crucial for simulating future climate change based on projected Shared Socioeconomic Pathways (SSP) greenhouse gas emissions…
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh +6
Climate models have been key for assessing the impact of climate change and simulating future climate scenarios. The machine learning (ML) community has taken an increased interest…