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.