Hannah Christensen (she/her): Publications

Multifractal analysis for evaluating the representation of clouds in global km-scale models

Copernicus Publications (2024)

Authors:

Lilli Freischem, Philipp Weiss, Hannah Christensen, Philip Stier

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Understanding the atmospheric kinetic energy spectrum

Copernicus Publications (2024)

Authors:

Salah Kouhen, Benjamin Storer, Hussein Aluie, David Marshall, Hannah Christensen

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Improving and Assessing Organized Convection Parameterization in the Unified Model

Copernicus Publications (2024)

Authors:

Zhixiao Zhang, Hannah Christensen, Mark Muetzelfeldt, Tim Woollings, Bob Plant, Alison Stirling, Michael Whitall, Mitchell Moncrieff, Chih-Chieh Chen

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Multifractal Analysis for Evaluating the Representation of Clouds in Global Kilometre-Scale Models

(2024)

Authors:

Lilli Johanna Freischem, Philipp Weiss, Hannah Christensen, Philip Stier

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Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model

Geoscientific Model Development Copernicus Publications 16:15 (2023) 4501-4519

Authors:

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

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Hannah Christensen (she/her)

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Multifractal analysis for evaluating the representation of clouds in global km-scale models

Authors:

Understanding the atmospheric kinetic energy spectrum

Authors:

Improving and Assessing Organized Convection Parameterization in the Unified Model

Authors:

Multifractal Analysis for Evaluating the Representation of Clouds in Global Kilometre-Scale Models

Authors:

Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model

Authors:

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Hannah Christensen (she/her)

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Multifractal analysis for evaluating the representation of clouds in global km-scale models

Authors:

Understanding the atmospheric kinetic energy spectrum

Authors:

Improving and Assessing Organized Convection Parameterization in the Unified Model

Authors:

Multifractal Analysis for Evaluating the Representation of Clouds in Global Kilometre-Scale Models

Authors:

Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model

Authors: