GC065
Perturbed Physics Experiments (PPEs) in Earth System Modeling

Session ID#: 78421

Session Description:
The use of Perturbed Physics Experiments (PPEs) is growing in all aspects of Earth System Modeling (e.g., atmosphere, ocean, land surface, hydrology) to understand how model behavior is affected by incomplete representation of Earth System processes. This approach is being used in diverse contexts – in model parameter calibration (selecting “good” parts of parameter space), to aid deeper understanding of model processes, to explore model uncertainty. The PPEs are also combined with multi-model ensembles (e.g., CMIP5) to inform climate projection outcomes. Recently, there is a growing interest in multi-model PPEs to understand contributions to model differences arising from uncertain parameters and from differing model structures. We invite contributions on designing, conducting and analyzing PPEs, based on single or multiple models, to identify key parameters and processes that affect model behavior, to guide model tuning, to identify structural deficiencies in models, and to establish emergent constraints.
Index Terms:

1622 Earth system modeling [GLOBAL CHANGE]
1942 Machine learning [INFORMATICS]
3365 Subgrid-scale (SGS) parameterization [ATMOSPHERIC PROCESSES]
4430 Complex systems [NONLINEAR GEOPHYSICS]


Primary Convener:  Sihan Li, Oxford e-Research Centre, Oxford University, Oxford, United Kingdom
Conveners:  Ambarish Karmalkar, University of Massachusetts Amherst, Amherst, MA, United States and Linnia Hawkins, Oregon State University, Corvallis, OR, United States
Primary Liaison:  Sihan Li, Oxford e-Research Centre, Oxford University, Oxford, United Kingdom
 
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Identifying Physical Drivers of Climate and Land-surface Biases in a Regional Climate Model Using Perturbed Parameter Ensembles (549123)
Linnia R Hawkins1, Sihan Li2, David E Rupp3, Philip Mote3 and Sparrow Sarah2, (1)Oregon State University, CEOAS, Corvallis, OR, United States, (2)Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, (3)Oregon State University, Corvallis, OR, United States
 
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Sihan Li1, Linnia Hawkins2, Sparrow Sarah3, David E Rupp2, Philip Mote2 and Friederike Elly Luise Otto4, (1)University of Oxford, Environmental Change Institute, School of Geography and the Environment, Oxford, United Kingdom, (2)Oregon State University, Corvallis, OR, United States, (3)Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, (4)University of Oxford, Oxford, United Kingdom