skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling

Abstract

Climate simulations with more accurate process-level representation at finer resolutions (<100 km) are a pressing need in order to provide more detailed actionable information to policy makers regarding extreme events in a changing climate. Computational limitation is a major obstacle for building and running high-resolution (HR, here 0.25° average grid spacing at the Equator) models (HRMs). A more affordable path to HRMs is to use a global regionally refined model (RRM), which only simulates a portion of the globe at HR while the remaining is at low resolution (LR, 1°). In this study, we compare the Energy Exascale Earth System Model (E3SM) atmosphere model version 1 (EAMv1) RRM with the HR mesh over the contiguous United States (CONUS) to its corresponding globally uniform LR and HR configurations as well as to observations and reanalysis data. The RRM has a significantly reduced computational cost (roughly proportional to the HR mesh size) relative to the globally uniform HRM. Over the CONUS, we evaluate the simulation of important dynamical and physical quantities as well as various precipitation measures. Differences between the RRM and HRM over the HR region are predominantly small, demonstrating that the RRM reproduces the precipitation metrics of the HRM overmore » the CONUS. Further analysis based on RRM simulations with the LR vs. HR model parameters reveals that RRM performance is greatly influenced by the different parameter choices used in the LR and HR EAMv1. This is a result of the poor scale-aware behavior of physical parameterizations, especially for variables influencing sub-grid-scale physical processes. RRMs can serve as a useful framework to test physics schemes across a range of scales, leading to improved consistency in future E3SM versions. Applying nudging-to-observations techniques within the RRM framework also demonstrates significant advantages over a free-running configuration for use as a test bed and as such represents an efficient and more robust physics test bed capability. Our results provide additional confirmatory evidence that the RRM is an efficient and effective test bed for HRM development.« less

Authors:
ORCiD logo [1];  [1];  [1];  [2]; ORCiD logo [1];  [3]; ORCiD logo [3];  [4];  [1];  [4];  [1];  [2];  [5];  [4];  [4]; ORCiD logo [6];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. Univ. of California, Irvine, CA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1544808
Alternate Identifier(s):
OSTI ID: 1542742; OSTI ID: 1631697
Report Number(s):
SAND-2019-7807J; LLNL-JRNL-764721; PNNL-SA-141325
Journal ID: ISSN 1991-9603; 677219
Grant/Contract Number:  
AC04-94AL85000; AC52-07NA27344; A06-76RLO1830; AC02-05CH11231; AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Volume: 12; Journal Issue: 7; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Tang, Qi, Klein, Stephen A., Xie, Shaocheng, Lin, Wuyin, Golaz, Jean -Christophe, Roesler, Erika L., Taylor, Mark A., Rasch, Philip J., Bader, David C., Berg, Larry K., Caldwell, Peter, Giangrande, Scott E., Neale, Richard B., Qian, Yun, Riihimaki, Laura D., Zender, Charles S., Zhang, Yuying, and Zheng, Xue. Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling. United States: N. p., 2019. Web. doi:10.5194/gmd-12-2679-2019.
Tang, Qi, Klein, Stephen A., Xie, Shaocheng, Lin, Wuyin, Golaz, Jean -Christophe, Roesler, Erika L., Taylor, Mark A., Rasch, Philip J., Bader, David C., Berg, Larry K., Caldwell, Peter, Giangrande, Scott E., Neale, Richard B., Qian, Yun, Riihimaki, Laura D., Zender, Charles S., Zhang, Yuying, & Zheng, Xue. Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling. United States. doi:10.5194/gmd-12-2679-2019.
Tang, Qi, Klein, Stephen A., Xie, Shaocheng, Lin, Wuyin, Golaz, Jean -Christophe, Roesler, Erika L., Taylor, Mark A., Rasch, Philip J., Bader, David C., Berg, Larry K., Caldwell, Peter, Giangrande, Scott E., Neale, Richard B., Qian, Yun, Riihimaki, Laura D., Zender, Charles S., Zhang, Yuying, and Zheng, Xue. Mon . "Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling". United States. doi:10.5194/gmd-12-2679-2019. https://www.osti.gov/servlets/purl/1544808.
@article{osti_1544808,
title = {Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling},
author = {Tang, Qi and Klein, Stephen A. and Xie, Shaocheng and Lin, Wuyin and Golaz, Jean -Christophe and Roesler, Erika L. and Taylor, Mark A. and Rasch, Philip J. and Bader, David C. and Berg, Larry K. and Caldwell, Peter and Giangrande, Scott E. and Neale, Richard B. and Qian, Yun and Riihimaki, Laura D. and Zender, Charles S. and Zhang, Yuying and Zheng, Xue},
abstractNote = {Climate simulations with more accurate process-level representation at finer resolutions (<100 km) are a pressing need in order to provide more detailed actionable information to policy makers regarding extreme events in a changing climate. Computational limitation is a major obstacle for building and running high-resolution (HR, here 0.25° average grid spacing at the Equator) models (HRMs). A more affordable path to HRMs is to use a global regionally refined model (RRM), which only simulates a portion of the globe at HR while the remaining is at low resolution (LR, 1°). In this study, we compare the Energy Exascale Earth System Model (E3SM) atmosphere model version 1 (EAMv1) RRM with the HR mesh over the contiguous United States (CONUS) to its corresponding globally uniform LR and HR configurations as well as to observations and reanalysis data. The RRM has a significantly reduced computational cost (roughly proportional to the HR mesh size) relative to the globally uniform HRM. Over the CONUS, we evaluate the simulation of important dynamical and physical quantities as well as various precipitation measures. Differences between the RRM and HRM over the HR region are predominantly small, demonstrating that the RRM reproduces the precipitation metrics of the HRM over the CONUS. Further analysis based on RRM simulations with the LR vs. HR model parameters reveals that RRM performance is greatly influenced by the different parameter choices used in the LR and HR EAMv1. This is a result of the poor scale-aware behavior of physical parameterizations, especially for variables influencing sub-grid-scale physical processes. RRMs can serve as a useful framework to test physics schemes across a range of scales, leading to improved consistency in future E3SM versions. Applying nudging-to-observations techniques within the RRM framework also demonstrates significant advantages over a free-running configuration for use as a test bed and as such represents an efficient and more robust physics test bed capability. Our results provide additional confirmatory evidence that the RRM is an efficient and effective test bed for HRM development.},
doi = {10.5194/gmd-12-2679-2019},
journal = {Geoscientific Model Development (Online)},
issn = {1991-9603},
number = 7,
volume = 12,
place = {United States},
year = {2019},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 6 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Exploratory High-Resolution Climate Simulations using the Community Atmosphere Model (CAM)
journal, May 2014

  • Bacmeister, Julio T.; Wehner, Michael F.; Neale, Richard B.
  • Journal of Climate, Vol. 27, Issue 9
  • DOI: 10.1175/JCLI-D-13-00387.1

Improving the diurnal cycle of convection in GCMs
journal, December 2011

  • Stratton, R. A.; Stirling, A. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 138, Issue 666
  • DOI: 10.1002/qj.991

Uncertainty Quantification in Climate Modeling and Projection
journal, May 2016

  • Qian, Yun; Jackson, Charles; Giorgi, Filippo
  • Bulletin of the American Meteorological Society, Vol. 97, Issue 5
  • DOI: 10.1175/BAMS-D-15-00297.1

The Effect of Global Warming on Severe Thunderstorms in the United States
journal, March 2015


On the potential of assimilating meteorological analyses in a global climate model for the purpose of model validation
journal, July 1996

  • Jeuken, A. B. M.; Siegmund, P. C.; Heijboer, L. C.
  • Journal of Geophysical Research: Atmospheres, Vol. 101, Issue D12
  • DOI: 10.1029/96JD01218

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

The atmospheric hydrologic cycle in the ACME v0.3 model
journal, July 2017

  • Terai, Christopher R.; Caldwell, Peter M.; Klein, Stephen A.
  • Climate Dynamics, Vol. 50, Issue 9-10
  • DOI: 10.1007/s00382-017-3803-x

Summarizing multiple aspects of model performance in a single diagram
journal, April 2001

  • Taylor, Karl E.
  • Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D7
  • DOI: 10.1029/2000JD900719

Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator: EVALUATING CLOUDS IN CLIMATE MODELS
journal, February 2013

  • Klein, Stephen A.; Zhang, Yuying; Zelinka, Mark D.
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 3
  • DOI: 10.1002/jgrd.50141

Systematic land climate and evapotranspiration biases in CMIP5 simulations: CMIP5 BIASES
journal, January 2014

  • Mueller, B.; Seneviratne, S. I.
  • Geophysical Research Letters, Vol. 41, Issue 1
  • DOI: 10.1002/2013GL058055

A seasonal and diurnal climatology of precipitation organization in the southeastern United States: Precipitation Organization in Southeastern USA
journal, January 2015

  • Rickenbach, Thomas M.; Nieto-Ferreira, Rosana; Zarzar, Christopher
  • Quarterly Journal of the Royal Meteorological Society, Vol. 141, Issue 690
  • DOI: 10.1002/qj.2500

Stratospheric variability and tropospheric ozone
journal, January 2009

  • Hsu, Juno; Prather, Michael J.
  • Journal of Geophysical Research, Vol. 114, Issue D6
  • DOI: 10.1029/2008JD010942

Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators
journal, May 2019

  • Zhang, Yuying; Xie, Shaocheng; Lin, Wuyin
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 5
  • DOI: 10.1029/2018MS001562

Precipitation Estimation from the ARM Distributed Radar Network during the MC3E Campaign
journal, September 2014

  • Giangrande, Scott E.; Collis, Scott; Theisen, Adam K.
  • Journal of Applied Meteorology and Climatology, Vol. 53, Issue 9
  • DOI: 10.1175/JAMC-D-13-0321.1

On the Correspondence between Short- and Long-Time-Scale Systematic Errors in CAM4/CAM5 for the Year of Tropical Convection
journal, November 2012


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

The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
journal, July 2019

  • Golaz, Jean‐Christophe; Caldwell, Peter M.; Van Roekel, Luke P.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
  • DOI: 10.1029/2018MS001603

Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model
journal, January 2016


Exploring a Variable-Resolution Approach for Simulating Regional Climate in the Rocky Mountain Region Using the VR-CESM: VR-CESM Simulation in the Rocky Mountains
journal, October 2017

  • Wu, Chenglai; Liu, Xiaohong; Lin, Zhaohui
  • Journal of Geophysical Research: Atmospheres, Vol. 122, Issue 20
  • DOI: 10.1002/2017JD027008

Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function
journal, July 2019

  • Xie, Shaocheng; Wang, Yi‐Chi; Lin, Wuyin
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
  • DOI: 10.1029/2019MS001702

Causes of model dry and warm bias over central U.S. and impact on climate projections
journal, October 2017


Changes in the Distribution of Rain Frequency and Intensity in Response to Global Warming
journal, November 2014


Regional Climate Simulations With the Community Earth System Model
journal, June 2018

  • Gettelman, A.; Callaghan, P.; Larson, V. E.
  • Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 6
  • DOI: 10.1002/2017MS001227

Reconciling Simulated and Observed Views of Clouds: MODIS, ISCCP, and the Limits of Instrument Simulators
journal, July 2012


Precipitation Characteristics in Eighteen Coupled Climate Models
journal, September 2006


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


A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges
journal, May 2015

  • Prein, Andreas F.; Langhans, Wolfgang; Fosser, Giorgia
  • Reviews of Geophysics, Vol. 53, Issue 2
  • DOI: 10.1002/2014RG000475

The simulation of the diurnal cycle of convective precipitation over land in a global model
journal, October 2004

  • Bechtold, P.; Chaboureau, J. -P.; Beljaars, A.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 130, Issue 604
  • DOI: 10.1256/qj.03.103

Representing Equilibrium and Nonequilibrium Convection in Large-Scale Models
journal, February 2014

  • Bechtold, Peter; Semane, Noureddine; Lopez, Philippe
  • Journal of the Atmospheric Sciences, Vol. 71, Issue 2
  • DOI: 10.1175/JAS-D-13-0163.1

Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization
journal, June 2011


Aquaplanet Experiments Using CAM’s Variable-Resolution Dynamical Core
journal, July 2014

  • Zarzycki, Colin M.; Levy, Michael N.; Jablonowski, Christiane
  • Journal of Climate, Vol. 27, Issue 14
  • DOI: 10.1175/JCLI-D-14-00004.1

The spectral element method (SEM) on variable-resolution grids: evaluating grid sensitivity and resolution-aware numerical viscosity
journal, January 2014

  • Guba, O.; Taylor, M. A.; Ullrich, P. A.
  • Geoscientific Model Development, Vol. 7, Issue 6
  • DOI: 10.5194/gmd-7-2803-2014

A multiresolution method for climate system modeling: application of spherical centroidal Voronoi tessellations
journal, November 2008


Regional assessment of the parameter-dependent performance of CAM4 in simulating tropical clouds: REGIONAL TROPICAL CLOUDS IN CAM4
journal, July 2012

  • Zhang, Yuying; Xie, Shaocheng; Covey, Curt
  • Geophysical Research Letters, Vol. 39, Issue 14
  • DOI: 10.1029/2012GL052184

A multidecadal simulation of Atlantic tropical cyclones using a variable-resolution global atmospheric general circulation model
journal, August 2014

  • Zarzycki, Colin M.; Jablonowski, Christiane
  • Journal of Advances in Modeling Earth Systems, Vol. 6, Issue 3
  • DOI: 10.1002/2014MS000352

Introduction to CAUSES: Description of Weather and Climate Models and Their Near‐Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains
journal, March 2018

  • Morcrette, C. J.; Van Weverberg, K.; Ma, H. ‐Y.
  • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 5
  • DOI: 10.1002/2017JD027199

Technical Note: On the use of nudging for aerosol–climate model intercomparison studies
journal, January 2014


COSP: Satellite simulation software for model assessment
journal, August 2011

  • Bodas-Salcedo, A.; Webb, M. J.; Bony, S.
  • Bulletin of the American Meteorological Society, Vol. 92, Issue 8
  • DOI: 10.1175/2011BAMS2856.1

Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5: ESTIMATES OF AEROSOL INDIRECT EFFECTS
journal, December 2012

  • Kooperman, Gabriel J.; Pritchard, Michael S.; Ghan, Steven J.
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D23
  • DOI: 10.1029/2012JD018588

CAUSES: On the Role of Surface Energy Budget Errors to the Warm Surface Air Temperature Error Over the Central United States
journal, March 2018

  • Ma, H. ‐Y.; Klein, S. A.; Xie, S.
  • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 5
  • DOI: 10.1002/2017JD027194

Changes in precipitation with climate change
journal, March 2011


National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans
journal, October 2011

  • Zhang, Jian; Howard, Kenneth; Langston, Carrie
  • Bulletin of the American Meteorological Society, Vol. 92, Issue 10
  • DOI: 10.1175/2011BAMS-D-11-00047.1

Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model
journal, October 2018

  • Xie, Shaocheng; Lin, Wuyin; Rasch, Philip J.
  • Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 10
  • DOI: 10.1029/2018MS001350

Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1)
journal, January 2018

  • Zhang, Kai; Rasch, Philip J.; Taylor, Mark A.
  • Geoscientific Model Development, Vol. 11, Issue 5
  • DOI: 10.5194/gmd-11-1971-2018

CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains
journal, April 2018

  • Van Weverberg, K.; Morcrette, C. J.; Petch, J.
  • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 7
  • DOI: 10.1002/2017JD027188

Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty
journal, January 2012

  • Loeb, Norman G.; Lyman, John M.; Johnson, Gregory C.
  • Nature Geoscience, Vol. 5, Issue 2
  • DOI: 10.1038/ngeo1375

The Changing Character of Twenty-First-Century Precipitation over the Western United States in the Variable-Resolution CESM
journal, September 2017


Improving the global precipitation record: GPCP Version 2.1
journal, January 2009

  • Huffman, George J.; Adler, Robert F.; Bolvin, David T.
  • Geophysical Research Letters, Vol. 36, Issue 17
  • DOI: 10.1029/2009GL040000

The Low-Level Jet over the Southern Great Plains Determined from Observations and Reanalyses and Its Impact on Moisture Transport
journal, September 2015


A More Powerful Reality Test for Climate Models
journal, May 2016


The Midlatitude Continental Convective Clouds Experiment (MC3E)
journal, September 2016

  • Jensen, M. P.; Petersen, W. A.; Bansemer, A.
  • Bulletin of the American Meteorological Society, Vol. 97, Issue 9
  • DOI: 10.1175/BAMS-D-14-00228.1

Diurnal Spatial Variability of Great Plains Summer Precipitation Related to the Dynamics of the Low-Level Jet
journal, May 2014

  • Pu, Bing; Dickinson, Robert E.
  • Journal of the Atmospheric Sciences, Vol. 71, Issue 5
  • DOI: 10.1175/JAS-D-13-0243.1

A compatible and conservative spectral element method on unstructured grids
journal, August 2010


The ERA-Interim reanalysis: configuration and performance of the data assimilation system
journal, April 2011

  • Dee, D. P.; Uppala, S. M.; Simmons, A. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 137, Issue 656
  • DOI: 10.1002/qj.828

Precipitation Partitioning, Tropical Clouds, and Intraseasonal Variability in GFDL AM2
journal, August 2013


The GCM-Oriented CALIPSO Cloud Product (CALIPSO-GOCCP)
journal, January 2010

  • Chepfer, H.; Bony, S.; Winker, D.
  • Journal of Geophysical Research, Vol. 115
  • DOI: 10.1029/2009JD012251

Observed and model-simulated diurnal cycles of precipitation over the contiguous United States
journal, March 1999

  • Dai, Aiguo; Giorgi, Filippo; Trenberth, Kevin E.
  • Journal of Geophysical Research: Atmospheres, Vol. 104, Issue D6
  • DOI: 10.1029/98JD02720

Interactions between cumulus convection and its environment as revealed by the MC3E sounding array: Convection with its environment
journal, October 2014

  • Xie, Shaocheng; Zhang, Yunyan; Giangrande, Scott E.
  • Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 20
  • DOI: 10.1002/2014JD022011

Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction
journal, December 2004

  • Phillips, Thomas J.; Potter, Gerald L.; Williamson, David L.
  • Bulletin of the American Meteorological Society, Vol. 85, Issue 12
  • DOI: 10.1175/BAMS-85-12-1903

Constructing Three-Dimensional Multiple-Radar Reflectivity Mosaics: Examples of Convective Storms and Stratiform Rain Echoes
journal, January 2005

  • Zhang, Jian; Howard, Kenneth; Gourley, J. J.
  • Journal of Atmospheric and Oceanic Technology, Vol. 22, Issue 1
  • DOI: 10.1175/JTECH-1689.1

Role of eastward propagating convection systems in the diurnal cycle and seasonal mean of summertime rainfall over the U.S. Great Plains
journal, January 2006

  • Jiang, Xianan; Lau, Ngar-Cheung; Klein, Stephen A.
  • Geophysical Research Letters, Vol. 33, Issue 19
  • DOI: 10.1029/2006GL027022

On the Correspondence between Mean Forecast Errors and Climate Errors in CMIP5 Models
journal, February 2014


Dreary state of precipitation in global models: MODEL AND OBSERVED PRECIPITATION
journal, December 2010

  • Stephens, Graeme L.; L'Ecuyer, Tristan; Forbes, Richard
  • Journal of Geophysical Research: Atmospheres, Vol. 115, Issue D24
  • DOI: 10.1029/2010JD014532

Experimental Tropical Cyclone Forecasts Using a Variable-Resolution Global Model
journal, October 2015

  • Zarzycki, Colin M.; Jablonowski, Christiane
  • Monthly Weather Review, Vol. 143, Issue 10
  • DOI: 10.1175/MWR-D-15-0159.1

An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models: AN IMPROVED HINDCAST APPROACH
journal, November 2015

  • Ma, H. -Y.; Chuang, C. C.; Klein, S. A.
  • Journal of Advances in Modeling Earth Systems, Vol. 7, Issue 4
  • DOI: 10.1002/2015MS000490

Corridors of Warm Season Precipitation in the Central United States
journal, September 2006

  • Tuttle, John D.; Davis, Chris A.
  • Monthly Weather Review, Vol. 134, Issue 9
  • DOI: 10.1175/MWR3188.1

Relationships between soil moisture and summer precipitation over the Great Plains and the Southwest
journal, January 2003


Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations
journal, September 2014

  • Cheruy, F.; Dufresne, J. L.; Hourdin, F.
  • Geophysical Research Letters, Vol. 41, Issue 18
  • DOI: 10.1002/2014GL061145

Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations
journal, December 2018

  • Qian, Yun; Wan, Hui; Yang, Ben
  • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 23
  • DOI: 10.1029/2018JD028927

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

Evaluation of aerosol direct radiative forcing in MIRAGE
journal, March 2001

  • Ghan, Steven; Laulainen, Nels; Easter, Richard
  • Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D6
  • DOI: 10.1029/2000JD900502

Characterizing Sierra Nevada Snowpack Using Variable-Resolution CESM
journal, January 2016

  • Rhoades, Alan M.; Huang, Xingying; Ullrich, Paul A.
  • Journal of Applied Meteorology and Climatology, Vol. 55, Issue 1
  • DOI: 10.1175/JAMC-D-15-0156.1

An Overview of the Atmospheric Component of the Energy Exascale Earth System Model
journal, August 2019

  • Rasch, P. J.; Xie, S.; Ma, P. ‐L.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 8
  • DOI: 10.1029/2019MS001629

    Works referencing / citing this record:

    Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty
    journal, January 2012

    • Loeb, Norman G.; Lyman, John M.; Johnson, Gregory C.
    • Nature Geoscience, Vol. 5, Issue 2
    • DOI: 10.1038/ngeo1375

    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

    Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization
    journal, June 2011


    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

    Improving the diurnal cycle of convection in GCMs
    journal, December 2011

    • Stratton, R. A.; Stirling, A. J.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 138, Issue 666
    • DOI: 10.1002/qj.991

    Technical Note: On the use of nudging for aerosol–climate model intercomparison studies
    journal, January 2014


    The spectral element method (SEM) on variable-resolution grids: evaluating grid sensitivity and resolution-aware numerical viscosity
    journal, January 2014

    • Guba, O.; Taylor, M. A.; Ullrich, P. A.
    • Geoscientific Model Development, Vol. 7, Issue 6
    • DOI: 10.5194/gmd-7-2803-2014

    The atmospheric hydrologic cycle in the ACME v0.3 model
    journal, July 2017

    • Terai, Christopher R.; Caldwell, Peter M.; Klein, Stephen A.
    • Climate Dynamics, Vol. 50, Issue 9-10
    • DOI: 10.1007/s00382-017-3803-x

    Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model
    journal, January 2016


    Causes of model dry and warm bias over central U.S. and impact on climate projections
    journal, October 2017


    A compatible and conservative spectral element method on unstructured grids
    journal, August 2010


    The ERA-Interim reanalysis: configuration and performance of the data assimilation system
    journal, April 2011

    • Dee, D. P.; Uppala, S. M.; Simmons, A. J.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 137, Issue 656
    • DOI: 10.1002/qj.828

    The simulation of the diurnal cycle of convective precipitation over land in a global model
    journal, October 2004

    • Bechtold, P.; Chaboureau, J. -P.; Beljaars, A.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 130, Issue 604
    • DOI: 10.1256/qj.03.103

    Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1)
    journal, January 2018

    • Zhang, Kai; Rasch, Philip J.; Taylor, Mark A.
    • Geoscientific Model Development, Vol. 11, Issue 5
    • DOI: 10.5194/gmd-11-1971-2018

    The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
    journal, July 2019

    • Golaz, Jean‐Christophe; Caldwell, Peter M.; Van Roekel, Luke P.
    • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
    • DOI: 10.1029/2018ms001603

    A multiresolution method for climate system modeling: application of spherical centroidal Voronoi tessellations
    journal, November 2008


    Changes in precipitation with climate change
    journal, March 2011


    Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator: EVALUATING CLOUDS IN CLIMATE MODELS
    journal, February 2013

    • Klein, Stephen A.; Zhang, Yuying; Zelinka, Mark D.
    • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 3
    • DOI: 10.1002/jgrd.50141

    A seasonal and diurnal climatology of precipitation organization in the southeastern United States: Precipitation Organization in Southeastern USA
    journal, January 2015

    • Rickenbach, Thomas M.; Nieto-Ferreira, Rosana; Zarzar, Christopher
    • Quarterly Journal of the Royal Meteorological Society, Vol. 141, Issue 690
    • DOI: 10.1002/qj.2500

    CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains
    journal, April 2018

    • Van Weverberg, K.; Morcrette, C. J.; Petch, J.
    • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 7
    • DOI: 10.1002/2017jd027188