Bayes-GRACE
Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data
Bayes-GRACE
Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data
In this project Bayesian data-model fusion frameworks are developed to merge satellite gravity data with models. Open access data are already dessiminated (doi:10.1016/j.advwatres.2020.103528 & doi:10.1016/j.scitotenv.2020.143579) and the codes will be published.
The project is a UK-based research project between Aalborg University and Cardiff University. Aalborg University with researcher Ehsan Forootan contributes with supervising a PhD student for implementing Bayesian data-model fusion frameworks.
Project Facts
PROJECT NAME
Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data (Bayes-GRACE)
EFFECTIVE START/END DATE
October 2017 - May 2021
PROJECT PARTNERS
- Aalborg University
- Cardiff University
AAU Space Group