Hannah M. Christensen

Author

Also Known As

Christensen, Hannah, Christensen, Hannah M, Christensen, Hannah M., Christensen, Hannah Mary, Christensen, Hans Michael, H Christensen, H. Christensen, H. M. Christensen, H.M. Christensen, Hannah Christensen

125

Publications

Citations

H-Index

Concepts

All Affiliations

University of Oxford NSF National Center for Atmospheric Research European Centre for Medium-Range Weather Forecasts National Centre for Atmospheric Science University of Reading

About

Hannah M. Christensen is an author at University of Oxford specializing in engineering, earth science, and climate modeling.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	25	1.7K
2	Medicine	5	5	315
3	Management	2	2	54
4	Health Sciences	1	1	23
5	Allergy	1	1	23

Hannah M. Christensen

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Machine learning and artificial intelligence to aid climate change research and preparedness Chris Huntingford, Elizabeth S. Jeffers, Michael B. Bonsall, Environmental Research Letters	2019	430
Stochastic Parameterization: Toward a New View of Weather and Climate Models Judith Berner, Ulrich Achatz, Lauriane Batté, Bulletin of the American Meteorological Society	2016	408
Stochastic representations of model uncertainties at ECMWF: state of the art and future vision Martin Leutbecher, Sarah‐Jane Lock, Pirkka Ollinaho, Quarterly Journal of the Royal Meteorological Society EngineeringStochastic RepresentationsClimate ModelingEarth System ScienceInitial Uncertainties	2017	261
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian, Journal of Advances in Modeling Earth Systems Artificial IntelligenceGan ParameterizationEngineeringMachine LearningParameterization	2020	202
The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale Malcolm Roberts, Pier Luigi Vidale, C. A. Senior, Bulletin of the American Meteorological Society Climate SimulationFuture Climatic ChangeEngineeringClimate ModelingGlobal High Resolution	2018	178
Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI Matthew Chantry, Hannah M. Christensen, Peter Dueben, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolWeather Forecasting	2021	169
Myelodysplasia and acute megakaryoblastic leukemia in down's syndrome Alvin Zipursky, Paul S. Thorner, Étienne de Harven, Leukemia Research Down SyndromeHematological MalignancyMixed-phenotype Acute LeukemiaAcute Megakaryoblastic LeukemiaHematology	1994	147
A novel approach for scanning electron microscopy of colloidal gold-labeled cell surfaces. Étienne de Harven, R. Leung, Hannah M. Christensen The Journal of Cell Biology Immunocytochemical TechniqueEngineeringMicroscopyNovel ApproachBiomedical Engineering	1984	116
Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model Paolo Davini, Jost von Hardenberg, Susanna Corti, Geoscientific model development EngineeringClimate ModelingEarth System ScienceEnsemble SimulationsEarth Science	2017	106
Pushing the frontiers in climate modelling and analysis with machine learning Veronika Eyring, William D. Collins, Pierre Gentine, Nature Climate Change Future Climatic ChangeEngineeringMachine LearningData ScienceMachine Learning Tool	2024	103

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