Optimization of Sensor Networks for Improving Climate Model Predictions

Release Date: 12 September 2018

Lead Investigator

Daniel Ricciuto

Research Organization

Oak Ridge National Laboratory

Abstract

This project aims to develop and apply new UQ methods to the coupled land-atmosphere system with the goal of quantifying predictive uncertainty in regional to global scale climate variable while leveraging new HPC architectures.