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Title: Impact of Physics Parameterization Ordering in a Global Atmosphere Model

Abstract

Because weather and climate models must capture a wide variety of spatial and temporal scales, they rely heavily on parameterizations of subgrid-scale processes. The goal of this study is to demonstrate that the assumptions used to couple these parameterizations have an important effect on the climate of version 0 of the Energy Exascale Earth System Model (E3SM) General Circulation Model (GCM), a close relative of version 1 of the Community Earth System Model (CESM1). Like most GCMs, parameterizations in E3SM are sequentially split in the sense that parameterizations are called one after another with each subsequent process feeling the effect of the preceding processes. This coupling strategy is noncommutative in the sense that the order in which processes are called impacts the solution. By examining a suite of 24 simulations with deep convection, shallow convection, macrophysics/microphysics, and radiation parameterizations reordered, process order is shown to have a big impact on predicted climate. In particular, reordering of processes induces differences in net climate feedback that are as big as the intermodel spread in phase 5 of the Coupled Model Intercomparison Project. One reason why process ordering has such a large impact is that the effect of each process is influenced bymore » the processes preceding it. Where output is written is therefore an important control on apparent model behavior. Application of k-means clustering demonstrates that the positioning of macro/microphysics and shallow convection plays a critical role on the model solution.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Lawrence Livermore National LaboratoryLivermore CA USA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1422431
Alternate Identifier(s):
OSTI ID: 1425706; OSTI ID: 1432960
Report Number(s):
LLNL-JRNL-730895
Journal ID: ISSN 1942-2466
Grant/Contract Number:  
DE‐AC52‐07NA27344; AC52-07NA27344
Resource Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 10 Journal Issue: 2; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING

Citation Formats

Donahue, Aaron S., and Caldwell, Peter M. Impact of Physics Parameterization Ordering in a Global Atmosphere Model. United States: N. p., 2018. Web. doi:10.1002/2017MS001067.
Donahue, Aaron S., & Caldwell, Peter M. Impact of Physics Parameterization Ordering in a Global Atmosphere Model. United States. doi:10.1002/2017MS001067.
Donahue, Aaron S., and Caldwell, Peter M. Fri . "Impact of Physics Parameterization Ordering in a Global Atmosphere Model". United States. doi:10.1002/2017MS001067.
@article{osti_1422431,
title = {Impact of Physics Parameterization Ordering in a Global Atmosphere Model},
author = {Donahue, Aaron S. and Caldwell, Peter M.},
abstractNote = {Because weather and climate models must capture a wide variety of spatial and temporal scales, they rely heavily on parameterizations of subgrid-scale processes. The goal of this study is to demonstrate that the assumptions used to couple these parameterizations have an important effect on the climate of version 0 of the Energy Exascale Earth System Model (E3SM) General Circulation Model (GCM), a close relative of version 1 of the Community Earth System Model (CESM1). Like most GCMs, parameterizations in E3SM are sequentially split in the sense that parameterizations are called one after another with each subsequent process feeling the effect of the preceding processes. This coupling strategy is noncommutative in the sense that the order in which processes are called impacts the solution. By examining a suite of 24 simulations with deep convection, shallow convection, macrophysics/microphysics, and radiation parameterizations reordered, process order is shown to have a big impact on predicted climate. In particular, reordering of processes induces differences in net climate feedback that are as big as the intermodel spread in phase 5 of the Coupled Model Intercomparison Project. One reason why process ordering has such a large impact is that the effect of each process is influenced by the processes preceding it. Where output is written is therefore an important control on apparent model behavior. Application of k-means clustering demonstrates that the positioning of macro/microphysics and shallow convection plays a critical role on the model solution.},
doi = {10.1002/2017MS001067},
journal = {Journal of Advances in Modeling Earth Systems},
number = 2,
volume = 10,
place = {United States},
year = {2018},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
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DOI: 10.1002/2017MS001067

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Works referenced in this record:

Some numerical properties of approaches to physics–dynamics coupling for NWP
journal, January 2006

  • Dubal, Mark; Wood, Nigel; Staniforth, Andrew
  • Quarterly Journal of the Royal Meteorological Society, Vol. 132, Issue 614
  • DOI: 10.1256/qj.05.49

Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model
journal, December 2013

  • Bogenschutz, Peter A.; Gettelman, Andrew; Morrison, Hugh
  • Journal of Climate, Vol. 26, Issue 23
  • DOI: 10.1175/JCLI-D-13-00075.1

Analysis of Parallel versus Sequential Splittings for Time-Stepping Physical Parameterizations
journal, January 2004


Estimating Shortwave Radiative Forcing and Response in Climate Models
journal, June 2007

  • Taylor, K. E.; Crucifix, M.; Braconnot, P.
  • Journal of Climate, Vol. 20, Issue 11
  • DOI: 10.1175/JCLI4143.1

Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5
journal, July 2013


Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models
journal, January 2008

  • Iacono, Michael J.; Delamere, Jennifer S.; Mlawer, Eli J.
  • Journal of Geophysical Research, Vol. 113, Issue D13
  • DOI: 10.1029/2008JD009944

Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5
journal, January 2012

  • Liu, X.; Easter, R. C.; Ghan, S. J.
  • Geoscientific Model Development, Vol. 5, Issue 3
  • DOI: 10.5194/gmd-5-709-2012

An Analysis of Operator Splitting Techniques in the Stiff Case
journal, June 2000


Cloud Feedback Processes in a General Circulation Model
journal, April 1988


A PDF-Based Model for Boundary Layer Clouds. Part I: Method and Model Description
journal, December 2002


A Simple Comparison of Four Physics–Dynamics Coupling Schemes
journal, December 2002


CAM-SE: A scalable spectral element dynamical core for the Community Atmosphere Model
journal, November 2011

  • Dennis, John M.; Edwards, Jim; Evans, Katherine J.
  • The International Journal of High Performance Computing Applications, Vol. 26, Issue 1
  • DOI: 10.1177/1094342011428142

Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models
journal, September 2015

  • McCoy, Daniel T.; Hartmann, Dennis L.; Zelinka, Mark D.
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 18
  • DOI: 10.1002/2015JD023603

Inference of Climate Sensitivity from Analysis of Earth's Energy Budget
journal, June 2016


Inclusion of Ice Microphysics in the NCAR Community Atmospheric Model Version 3 (CAM3)
journal, September 2007

  • Liu, Xiaohong; Penner, Joyce E.; Ghan, Steven J.
  • Journal of Climate, Vol. 20, Issue 18
  • DOI: 10.1175/JCLI4264.1

Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud
journal, April 2009

  • Klein, Stephen A.; McCoy, Renata B.; Morrison, Hugh
  • Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 641
  • DOI: 10.1002/qj.416

Mechanisms of Low Cloud–Climate Feedback in Idealized Single-Column Simulations with the Community Atmospheric Model, Version 3 (CAM3)
journal, September 2008


Adjustments in the Forcing-Feedback Framework for Understanding Climate Change
journal, February 2015

  • Sherwood, Steven C.; Bony, Sandrine; Boucher, Olivier
  • Bulletin of the American Meteorological Society, Vol. 96, Issue 2
  • DOI: 10.1175/BAMS-D-13-00167.1

The Dynamical Core, Physical Parameterizations, and Basic Simulation Characteristics of the Atmospheric Component AM3 of the GFDL Global Coupled Model CM3
journal, July 2011

  • Donner, Leo J.; Wyman, Bruce L.; Hemler, Richard S.
  • Journal of Climate, Vol. 24, Issue 13
  • DOI: 10.1175/2011JCLI3955.1

Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model
journal, January 2010

  • Gettelman, A.; Liu, X.; Ghan, S. J.
  • Journal of Geophysical Research, Vol. 115, Issue D18
  • DOI: 10.1029/2009JD013797

Advanced Two-Moment Bulk Microphysics for Global Models. Part I: Off-Line Tests and Comparison with Other Schemes
journal, February 2015


Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
journal, July 1997

  • Mlawer, Eli J.; Taubman, Steven J.; Brown, Patrick D.
  • Journal of Geophysical Research: Atmospheres, Vol. 102, Issue D14
  • DOI: 10.1029/97JD00237

Cloud optical thickness feedbacks in the CO 2 climate problem
journal, January 1984

  • Somerville, Richard C. J.; Remer, Lorraine A.
  • Journal of Geophysical Research, Vol. 89, Issue D6
  • DOI: 10.1029/JD089iD06p09668

Analysis of the numerics of physics–dynamics coupling
journal, October 2002

  • Staniforth, Andrew; Wood, Nigel; Côté, Jean
  • Quarterly Journal of the Royal Meteorological Society, Vol. 128, Issue 586
  • DOI: 10.1256/qj.02.25

On the numerical stability of surface–atmosphere coupling in weather and climate models
journal, January 2017

  • Beljaars, Anton; Dutra, Emanuel; Balsamo, Gianpaolo
  • Geoscientific Model Development, Vol. 10, Issue 2
  • DOI: 10.5194/gmd-10-977-2017

A cloudy planetary boundary layer oscillation arising from the coupling of turbulence with precipitation in climate simulations
journal, August 2017

  • Zheng, X.; Klein, S. A.; Ma, H. ‐Y.
  • Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 4
  • DOI: 10.1002/2017MS000993

Multimodel assessment of the upper troposphere and lower stratosphere: Tropics and global trends
journal, January 2010

  • Gettelman, A.; Hegglin, M. I.; Son, S. -W.
  • Journal of Geophysical Research, Vol. 115
  • DOI: 10.1029/2009JD013638

Sensitivity of remote aerosol distributions to representation of cloud–aerosol interactions in a global climate model
journal, January 2013

  • Wang, H.; Easter, R. C.; Rasch, P. J.
  • Geoscientific Model Development, Vol. 6, Issue 3
  • DOI: 10.5194/gmd-6-765-2013

Effects of Convective Momentum Transport on the Atmospheric Circulation in the Community Atmosphere Model, Version 3
journal, April 2008


A parameterization of aerosol activation: 2. Multiple aerosol types
journal, March 2000

  • Abdul-Razzak, Hayder; Ghan, Steven J.
  • Journal of Geophysical Research: Atmospheres, Vol. 105, Issue D5
  • DOI: 10.1029/1999JD901161

Global-mean radiative feedbacks and forcing in atmosphere-only and coupled atmosphere-ocean climate change experiments
journal, June 2014

  • Ringer, Mark A.; Andrews, Timothy; Webb, Mark J.
  • Geophysical Research Letters, Vol. 41, Issue 11
  • DOI: 10.1002/2014GL060347

Integrating Cloud Processes in the Community Atmosphere Model, Version 5
journal, September 2014

  • Park, Sungsu; Bretherton, Christopher S.; Rasch, Philip J.
  • Journal of Climate, Vol. 27, Issue 18
  • DOI: 10.1175/JCLI-D-14-00087.1

Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity
journal, January 2016

  • Caldwell, Peter M.; Zelinka, Mark D.; Taylor, Karl E.
  • Journal of Climate, Vol. 29, Issue 2
  • DOI: 10.1175/JCLI-D-15-0352.1

The Impact of Convection on ENSO: From a Delayed Oscillator to a Series of Events
journal, November 2008

  • Neale, Richard B.; Richter, Jadwiga H.; Jochum, Markus
  • Journal of Climate, Vol. 21, Issue 22
  • DOI: 10.1175/2008JCLI2244.1

Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM
journal, January 2013

  • Wan, H.; Rasch, P. J.; Zhang, K.
  • Geoscientific Model Development, Vol. 6, Issue 3
  • DOI: 10.5194/gmd-6-861-2013

The effect of time steps and time-scales on parametrization suites
journal, August 2012

  • Williamson, David L.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 139, Issue 671
  • DOI: 10.1002/qj.1992

A New Moist Turbulence Parameterization in the Community Atmosphere Model
journal, June 2009


Mixed Parallel–Sequential-Split Schemes for Time-Stepping Multiple Physical Parameterizations
journal, April 2005

  • Dubal, Mark; Wood, Nigel; Staniforth, Andrew
  • Monthly Weather Review, Vol. 133, Issue 4
  • DOI: 10.1175/MWR2893.1

Atmospheric component of the MPI-M Earth System Model: ECHAM6: ECHAM6
journal, April 2013

  • Stevens, Bjorn; Giorgetta, Marco; Esch, Monika
  • Journal of Advances in Modeling Earth Systems, Vol. 5, Issue 2
  • DOI: 10.1002/jame.20015

Processes controlling Southern Ocean shortwave climate feedbacks in CESM: CESM SOUTHERN OCEAN CLIMATE feedbacks
journal, January 2014

  • Kay, J. E.; Medeiros, B.; Hwang, Y. -T.
  • Geophysical Research Letters, Vol. 41, Issue 2
  • DOI: 10.1002/2013GL058315

Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models
journal, January 1990

  • Cess, R. D.; Potter, G. L.; Blanchet, J. P.
  • Journal of Geophysical Research, Vol. 95, Issue D10
  • DOI: 10.1029/JD095iD10p16601