Hannah Christensen (she/her): Publications

New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models

Authors:

Andrew J Nicoll, Hannah M Christensen, Chris Huntingford, Doug Smith

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Parametrization in Weather and Climate Models

Oxford Research Encyclopedias, Climate Science

Authors:

Hannah Christensen, Laure Zanna

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Spin-up in humidity and temperature and its consequences for convective diagnostics: a Model Uncertainty Model Intercomparison Project experiment

Authors:

Edward Groot, Hannah Christensen, Xia Sun, Kathryn Newman, Wahiba Lfarh, Romain Roehrig, Lisa Bengtsson, Julia Simonson, Keith Williams, Hugo Lambert

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Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model

Authors:

Raghul Parthipan, Hannah M Christensen, J Scott Hosking, Damon J Wischik

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Using reliability diagrams to interpret the ‘signal-to-noise paradox’ in seasonal forecasts of the winter North Atlantic Oscilation

Authors:

Kristian Strommen, Molly MacRae, Hannah Christensen

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Hannah Christensen (she/her)

Research theme

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New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models

Authors:

Parametrization in Weather and Climate Models

Authors:

Spin-up in humidity and temperature and its consequences for convective diagnostics: a Model Uncertainty Model Intercomparison Project experiment

Authors:

Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model

Authors:

Using reliability diagrams to interpret the ‘signal-to-noise paradox’ in seasonal forecasts of the winter North Atlantic Oscilation

Authors:

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Hannah Christensen (she/her)

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New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models

Authors:

Parametrization in Weather and Climate Models

Authors:

Spin-up in humidity and temperature and its consequences for convective diagnostics: a Model Uncertainty Model Intercomparison Project experiment

Authors:

Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model

Authors:

Using reliability diagrams to interpret the ‘signal-to-noise paradox’ in seasonal forecasts of the winter North Atlantic Oscilation

Authors: