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Hannah Christensen (she/her)

Associate Professor

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Atmospheric processes
Hannah.Christensen@physics.ox.ac.uk
Telephone: 01865 (2)72908
Atmospheric Physics Clarendon Laboratory, room F52
  • About
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  • Publications

Aerodynamic Stability and the Growth of Triangular Snow Crystals

The Microscope McCrone Research Institute 4:57 (2009) 157-163

Authors:

KG Libbrecht, HM Arnold

Abstract:

We describe laboratory-grown snow crystals that exhibit a triangular, plate-like morphology, and we show that the occurrence of these crystals is much more frequent than one would expect from random growth perturbations of the more-typical hexagonal forms. We then describe an aerodynamic model that explains the formation of these crystals. A single growth perturbation on one facet of a hexagonal plate leads to air flow around the crystal that promotes the growth of alternating facets. Aerodynamic effects thus produce a weak growth instability that can cause hexagonal plates to develop into triangular plates. This mechanism solves a very old puzzle, as observers have been documenting the unexplained appearance of triangular snow crystals in nature for nearly two centuries.

Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization

Journal of Advances in Modelling Earth Systems

Authors:

Hannah Christensen, Zhixiao Zhang, Mark Muetzelfeldt, Tim Woollings, Robert Plant, Alison Stirling, Michael Whitall, Mitch Moncrieff, Chih-Chih Chen, Zhe Feng
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Can Weather Patterns Contribute to Predicting Winter Flood Magnitudes Using Machine Learning?

Authors:

Emma Ford, Manuela I Brunner, Hannah Christensen, Louise Slater
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Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations

Geoscientific Model Development European Geosciences Union

Authors:

Paolo Davini, Jost von Hardenberg, Susanna Corti, Hannah M Christensen, Stephan Juricke, Aneesh Subramanian, Peter AG Watson, Antje Weisheimer, Tim N Palmer

Abstract:

<p><strong>Abstract.</strong> The Climate SPHINX (Stochastic Physics HIgh resolutioN eXperiments) project is a comprehensive set of ensemble simulations aimed at evaluating the sensitivity of present and future climate to model resolution and stochastic parameterisation. The EC-Earth Earth-System Model is used to explore the impact of stochastic physics in a large ensemble of 30-year climate integrations at five different atmospheric horizontal resolutions (from 125 km up to 16 km). The project includes more than 120 simulations in both a historical scenario (1979–2008) and a climate change projection (2039–2068), together with coupled transient runs (1850–2100). A total of 20.4 million core hours have been used, made available from a single year grant from PRACE (the Partnership for Advanced Computing in Europe), and close to 1.5 PBytes of output data have been produced on SuperMUC IBM Petascale System at the Leibniz Supercomputing Center (LRZ) in Garching, Germany. About 140 TBytes of post-processed data are stored on the CINECA supercomputing center archives and are freely accessible to the community thanks to an EUDAT Data Pilot project. This paper presents the technical and scientific setup of the experiments, including the details on the forcing used for the simulations performed, defining the SPHINX v1.0 protocol. In addition, an overview of preliminary results is given: an improvement in the simulation of Euro-Atlantic atmospheric blocking following resolution increases is observed. It is also shown that including stochastic parameterisation in the low resolution runs helps to improve some aspects of the tropical climate – specifically the Madden-Julian Oscillation and the tropical rainfall variability. These findings show the importance of representing the impact of small scale processes on the large scale climate variability either explicitly (with high resolution simulations) or stochastically (in low resolution simulations).</p>
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Continuous Structural Parameterization: A method for representing different model parameterizations within one structure demonstrated for atmospheric convection

Authors:

Francis Hugo Lambert, Peter Challenor, Neil T Lewis, Douglas J McNeall, Nathan E Owen, Ian Boutle, Hannah Christensen, Richard Keane, Alison Stirling, Mark J Webb, Nathan J Mayne
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