Bayes-GRACE

Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data

BAYESIAN FRAMEWORKS

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 in future.

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.

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AAU Space Group - Researchers

Ehsan Forootan

Professor

Department of Planning

Phone: +45 9940 7012
Email: efo@plan.aau.dk

PROJECT NAME

Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data

SHORT TITLE

Bayes-GRACE

PROJECT STATUS

Completed

EFFECTIVE START/END DATE

October 2017 - May 2021

PROJECT PARTNERS

  • Aalborg University
  • Cardiff University