most citedEfficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques

18 citations · 18 across the 2 of their papers we have counts for

collaborators

2 papers

physics.ao-ph2022

A Spatiotemporal-Aware Climate Model Ensembling Method for Improving Precipitation Predictability

Ming Fan, Dan Lu, Deeksha Rastogi +1

Multimodel ensembling has been widely used to improve climate model predictions, and the improvement strongly depends on the ensembling scheme. In this work, we propose a Bayesian…

stat.ML2019★ 18 cited

Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques

Dan Lu, Daniel Ricciuto

Improving predictive understanding of Earth system variability and change requires data-model integration. Efficient data-model integration for complex models requires surrogate mo…