Hannah Christensen (she/her): Publications

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&#8201;km up to 16&#8201;km). The project includes more than 120 simulations in both a historical scenario (1979&#8211;2008) and a climate change projection (2039&#8211;2068), together with coupled transient runs (1850&#8211;2100). A total of 20.4&#8201;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&#8201;PBytes of output data have been produced on SuperMUC IBM Petascale System at the Leibniz Supercomputing Center (LRZ) in Garching, Germany. About 140&#8201;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 &#8211; 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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Error in ERA5 2m Temperature identified using GraphCast

Quarterly Journal of the Royal Meteorological Society Wiley

Authors:

Hannah Christensen, Jack Barker, Bobby Antonio, Massimo Bonavita, Mohamed Dahoui, Patricia de Rosnay

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High Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7

Authors:

Malcolm John Roberts, Kevin A Reed, Qing Bao, Joseph J Barsugli, Suzana J Camargo, Louis-Philippe Caron, Ping Chang, Cheng-Ta Chen, Hannah M Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S Fučkar, Shabeh ul Hasson, Helene T Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai-Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia-Ying Tu, Paul A Ullrich, Pier Luigi Vidale, Michael F Wehner, Colin M Zarzycki, Bosong Zhang, Wei Zhang, Ming Zhao

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Interpretable Deep Learning for Probabilistic MJO Prediction

Authors:

Antoine Delaunay, Hannah Christensen

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Hannah Christensen (she/her)

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Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations

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Continuous Structural Parameterization: A method for representing different model parameterizations within one structure demonstrated for atmospheric convection

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Error in ERA5 2m Temperature identified using GraphCast

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High Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7

Authors:

Interpretable Deep Learning for Probabilistic MJO Prediction

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Hannah Christensen (she/her)

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Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations

Authors:

Abstract:

Continuous Structural Parameterization: A method for representing different model parameterizations within one structure demonstrated for atmospheric convection

Authors:

Error in ERA5 2m Temperature identified using GraphCast

Authors:

High Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7

Authors:

Interpretable Deep Learning for Probabilistic MJO Prediction

Authors: