The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes
Cloud and shortwave radiation (SW) biases over the high-latitude Southern Ocean (SO) are persistent in many general circulation models (GCMs), and have been associated with large-scale circulation errors and uncertainties in cloud feedbacks in a warming climate. Physical processes below the grid-sca...
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Monash University. Faculty of Science. Earth, Atmosphere and Environment
2015
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ftmonashul:monash:165920 2023-05-15T18:24:51+02:00 The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes Mason, Shannon Principal Supervisor: Christian Jakob Supervisor: Steven Siems 2015 http://arrow.monash.edu.au/hdl/1959.1/1240493 eng eng Monash University. Faculty of Science. Earth, Atmosphere and Environment Open access: open access to thesis full text. This thesis is protected by copyright. Copyright in the thesis remains with the author. The Monash University Research Repository has a non-exclusive licence to publish and communicate this thesis online. Cloud Model evaluation Southern ocean thesis thesis(doctorate) 2015 ftmonashul 2017-10-02T22:35:22Z Cloud and shortwave radiation (SW) biases over the high-latitude Southern Ocean (SO) are persistent in many general circulation models (GCMs), and have been associated with large-scale circulation errors and uncertainties in cloud feedbacks in a warming climate. Physical processes below the grid-scale of GCMs are represented by parameterisations; to prioritise improvements in model physics there is a need to identify which processes are the major contributors to model error. A promising approach to process-oriented model evaluation is to identify cloud regimes from passive satellite observations, the occurrence of which are functions of the large-scale weather state. The aims of this thesis are, first, to expand upon approaches to identifying cloud regimes and their associated weather states, and to more fully characterise the vertical structure and thermodynamic phase of cloud regimes in the Southern Ocean. We then apply this observational knowledge to model evaluation, so as to develop a cloud regime-oriented framework for identifying and quantifying cloud and radiation errors in GCMs, and their associations with processes represented by model physics. In this thesis we present significant and original contributions to the knowledge of SO cloud from observations, and to the use of cloud regimes to evaluate model errors. We identify robust distinctions between key midtopped cloud regimes that have been associated with errors in the SO, and develop a methodology for using active satellite observations to quantify the subgrid-scale variability of cloud structures within cloud regimes. We develop a novel approach to identifying hybrid cloud regimes from both observations and a GCM, and demonstrate applications to quantifying the effects of changes to model parameterisations. We use the hybrid cloud regime approach to compare the development of cloud and radiation errors between timescales by evaluating short-term weather hindcasts and long-term climate simulations of the same GCM. Key methodological contributions to the use of cloud regimes for observations and model evaluation are demonstrated in the context of the high-latitude SO, with promising applications to ongoing efforts to address SO cloud errors in GCMs, and to investigate model errors in other contexts. Doctoral or Postdoctoral Thesis Southern Ocean Unknown Southern Ocean |
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English |
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Cloud Model evaluation Southern ocean |
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Cloud Model evaluation Southern ocean Mason, Shannon The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
topic_facet |
Cloud Model evaluation Southern ocean |
description |
Cloud and shortwave radiation (SW) biases over the high-latitude Southern Ocean (SO) are persistent in many general circulation models (GCMs), and have been associated with large-scale circulation errors and uncertainties in cloud feedbacks in a warming climate. Physical processes below the grid-scale of GCMs are represented by parameterisations; to prioritise improvements in model physics there is a need to identify which processes are the major contributors to model error. A promising approach to process-oriented model evaluation is to identify cloud regimes from passive satellite observations, the occurrence of which are functions of the large-scale weather state. The aims of this thesis are, first, to expand upon approaches to identifying cloud regimes and their associated weather states, and to more fully characterise the vertical structure and thermodynamic phase of cloud regimes in the Southern Ocean. We then apply this observational knowledge to model evaluation, so as to develop a cloud regime-oriented framework for identifying and quantifying cloud and radiation errors in GCMs, and their associations with processes represented by model physics. In this thesis we present significant and original contributions to the knowledge of SO cloud from observations, and to the use of cloud regimes to evaluate model errors. We identify robust distinctions between key midtopped cloud regimes that have been associated with errors in the SO, and develop a methodology for using active satellite observations to quantify the subgrid-scale variability of cloud structures within cloud regimes. We develop a novel approach to identifying hybrid cloud regimes from both observations and a GCM, and demonstrate applications to quantifying the effects of changes to model parameterisations. We use the hybrid cloud regime approach to compare the development of cloud and radiation errors between timescales by evaluating short-term weather hindcasts and long-term climate simulations of the same GCM. Key methodological contributions to the use of cloud regimes for observations and model evaluation are demonstrated in the context of the high-latitude SO, with promising applications to ongoing efforts to address SO cloud errors in GCMs, and to investigate model errors in other contexts. |
author2 |
Principal Supervisor: Christian Jakob Supervisor: Steven Siems |
format |
Doctoral or Postdoctoral Thesis |
author |
Mason, Shannon |
author_facet |
Mason, Shannon |
author_sort |
Mason, Shannon |
title |
The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
title_short |
The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
title_full |
The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
title_fullStr |
The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
title_full_unstemmed |
The process-oriented evaluation of Southern Ocean cloud and radiation errors in weather and climate models using cloud regimes |
title_sort |
process-oriented evaluation of southern ocean cloud and radiation errors in weather and climate models using cloud regimes |
publisher |
Monash University. Faculty of Science. Earth, Atmosphere and Environment |
publishDate |
2015 |
url |
http://arrow.monash.edu.au/hdl/1959.1/1240493 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_rights |
Open access: open access to thesis full text. This thesis is protected by copyright. Copyright in the thesis remains with the author. The Monash University Research Repository has a non-exclusive licence to publish and communicate this thesis online. |
_version_ |
1766205803347312640 |