Hannah Christensen
Scholar

Hannah Christensen

Google Scholar ID: 2dWCHjMAAAAJ
University of Oxford
Weather & Climate PredictionUncertainty quantificationMachine LearningModel development
Citations & Impact
All-time
Citations
3,586
 
H-index
23
 
i10-index
30
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Research Experience
  • Leads the Atmospheric Processes research group at Oxford
  • Leads the international Model Uncertainty-Model Intercomparison Project (MUMIP), a joint initiative of the World Weather and World Climate Research Programmes
  • Serves as Associate Editor for the Journal of Advances in Modeling Earth Systems (JAMES)
  • Contributed to Chapter 4 of the IPCC AR6 report on 'Future global climate: scenario-based projections and near-term information'
  • Member of the International Commission on Dynamical Meteorology (ICDM), under the International Union of Geodesy and Geophysics (IUGG)
Background
  • Associate Professor in Physical Climate, Department of Physics, University of Oxford
  • David Richards Tutorial Fellow at Wadham College
  • Research focuses on the role of uncertain small-scale processes on weather, seasonal, and climate timescales
  • Combines theoretical ideas, observational analysis, and a hierarchy of models—from simple dynamical systems to complex global circulation models
  • Core research theme: uncertainty quantification in modeling and prediction
  • Actively applies advanced machine learning tools to climate and weather modeling problems
  • Co-leads the University of Oxford Intelligent Earth Centre for Doctoral Training (CDT)