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Title: Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators

Abstract

This study systematically evaluates clouds simulated by the Energy Exascale Earth System Model Atmosphere Model version 1 (EAMv1) against satellite cloud observations. Both low- (1°) and high- (0.25°) resolution EAMv1 configurations generally underestimate clouds in low latitudes and midlatitudes and overestimate clouds in the Arctic, although the error is smaller in the high-resolution model. The underestimate of clouds is due to the underestimate of optically thin to intermediate clouds, as EAMv1 generally overestimates optically intermediate to thick clouds. Other model errors include the largely underpredicted marine stratocumulus along the coasts and high clouds over the tropical deep convection regions. The underestimate of thin clouds results in too much longwave radiation being emitted to space and too little shortwave radiation being reflected back to space, while the overestimate of optically intermediate and thick clouds leads to too little longwave radiation being emitted to space and too much shortwave radiation being reflected back to space. EAMv1 shows better skill in reproducing the observed distribution of clouds and their properties and has smaller radiatively relevant errors in the distribution of clouds than most of the CFMIP1 and CFMIP2 models. It produces more supercooled liquid cloud fraction than CAM5 and most CMIP5 models primarilymore » due to a new ice nucleation scheme and secondarily due to a reduction of the ice deposition growth rate.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [1]
  1. Lawrence Livermore National Laboratory Livermore CA USA
  2. Brookhaven National Laboratory Upton NY USA
  3. Pacific Northwest National Laboratory Richland WA USA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1511058
Alternate Identifier(s):
OSTI ID: 1511060; OSTI ID: 1548373
Report Number(s):
LLNL-JRNL-760883
Journal ID: ISSN 1942-2466
Grant/Contract Number:  
DE‐AC02‐05CH11231; 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: 11 Journal Issue: 5; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhang, Yuying, Xie, Shaocheng, Lin, Wuyin, Klein, Stephen A., Zelinka, Mark, Ma, Po‐Lun, Rasch, Philip J., Qian, Yun, Tang, Qi, and Ma, Hsi‐Yen. Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators. United States: N. p., 2019. Web. doi:10.1029/2018MS001562.
Zhang, Yuying, Xie, Shaocheng, Lin, Wuyin, Klein, Stephen A., Zelinka, Mark, Ma, Po‐Lun, Rasch, Philip J., Qian, Yun, Tang, Qi, & Ma, Hsi‐Yen. Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators. United States. doi:10.1029/2018MS001562.
Zhang, Yuying, Xie, Shaocheng, Lin, Wuyin, Klein, Stephen A., Zelinka, Mark, Ma, Po‐Lun, Rasch, Philip J., Qian, Yun, Tang, Qi, and Ma, Hsi‐Yen. Fri . "Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators". United States. doi:10.1029/2018MS001562.
@article{osti_1511058,
title = {Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators},
author = {Zhang, Yuying and Xie, Shaocheng and Lin, Wuyin and Klein, Stephen A. and Zelinka, Mark and Ma, Po‐Lun and Rasch, Philip J. and Qian, Yun and Tang, Qi and Ma, Hsi‐Yen},
abstractNote = {This study systematically evaluates clouds simulated by the Energy Exascale Earth System Model Atmosphere Model version 1 (EAMv1) against satellite cloud observations. Both low- (1°) and high- (0.25°) resolution EAMv1 configurations generally underestimate clouds in low latitudes and midlatitudes and overestimate clouds in the Arctic, although the error is smaller in the high-resolution model. The underestimate of clouds is due to the underestimate of optically thin to intermediate clouds, as EAMv1 generally overestimates optically intermediate to thick clouds. Other model errors include the largely underpredicted marine stratocumulus along the coasts and high clouds over the tropical deep convection regions. The underestimate of thin clouds results in too much longwave radiation being emitted to space and too little shortwave radiation being reflected back to space, while the overestimate of optically intermediate and thick clouds leads to too little longwave radiation being emitted to space and too much shortwave radiation being reflected back to space. EAMv1 shows better skill in reproducing the observed distribution of clouds and their properties and has smaller radiatively relevant errors in the distribution of clouds than most of the CFMIP1 and CFMIP2 models. It produces more supercooled liquid cloud fraction than CAM5 and most CMIP5 models primarily due to a new ice nucleation scheme and secondarily due to a reduction of the ice deposition growth rate.},
doi = {10.1029/2018MS001562},
journal = {Journal of Advances in Modeling Earth Systems},
number = 5,
volume = 11,
place = {United States},
year = {2019},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1029/2018MS001562

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Cited by: 8 works
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Works referenced in this record:

A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODIS
journal, January 2010

  • Marchand, Roger; Ackerman, Thomas; Smyth, Mike
  • Journal of Geophysical Research, Vol. 115, Issue D16
  • DOI: 10.1029/2009JD013422

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

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


Advances in Understanding Clouds from ISCCP
journal, November 1999


Stratospheric ozone in 3-D models: A simple chemistry and the cross-tropopause flux
journal, June 2000

  • McLinden, C. A.; Olsen, S. C.; Hannegan, B.
  • Journal of Geophysical Research: Atmospheres, Vol. 105, Issue D11
  • DOI: 10.1029/2000JD900124

Sensitivity Study on the Influence of Cloud Microphysical Parameters on Mixed-Phase Cloud Thermodynamic Phase Partitioning in CAM5
journal, February 2016


A Diagnostic PDF Cloud Scheme to Improve Subtropical Low Clouds in NCAR Community Atmosphere Model ( CAM 5)
journal, February 2018

  • Qin, Yi; Lin, Yanluan; Xu, Shiming
  • Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 2
  • DOI: 10.1002/2017MS001095

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


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


An Analysis of the Short-Term Cloud Feedback Using MODIS Data
journal, July 2013


Ubiquitous low‐level liquid‐containing Arctic clouds: New observations and climate model constraints from CALIPSO‐GOCCP
journal, October 2012

  • Cesana, G.; Kay, J. E.; Chepfer, H.
  • Geophysical Research Letters, Vol. 39, Issue 20
  • DOI: 10.1029/2012GL053385

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

Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model
journal, January 2008

  • Chepfer, H.; Bony, S.; Winker, D.
  • Geophysical Research Letters, Vol. 35, Issue 15
  • DOI: 10.1029/2008GL034207

The ‘too few, too bright’ tropical low-cloud problem in CMIP5 models: TOO FEW TOO BRIGHT LOW-CLOUDS
journal, November 2012

  • Nam, C.; Bony, S.; Dufresne, J. -L.
  • Geophysical Research Letters, Vol. 39, Issue 21
  • DOI: 10.1029/2012GL053421

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

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


Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth
journal, June 2012

  • Zelinka, Mark D.; Klein, Stephen A.; Hartmann, Dennis L.
  • Journal of Climate, Vol. 25, Issue 11
  • DOI: 10.1175/JCLI-D-11-00249.1

Evaluating and improving cloud phase in the Community Atmosphere Model version 5 using spaceborne lidar observations: CAM Cloud Phase Evaluation with CALIPSO
journal, April 2016

  • Kay, Jennifer E.; Bourdages, Line; Miller, Nathaniel B.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 8
  • DOI: 10.1002/2015JD024699

Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations
journal, January 2011

  • Liu, Xiaohong; Xie, Shaocheng; Boyle, James
  • Journal of Geophysical Research, Vol. 116
  • DOI: 10.1029/2011JD015889

Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5
journal, January 2014


Evaluation of the cloud thermodynamic phase in a climate model using CALIPSO-GOCCP: CALIPSO-GOCCP CLOUD THERMODYNAMIC PHASE
journal, July 2013

  • Cesana, Grégory; Chepfer, Hélène
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 14
  • DOI: 10.1002/jgrd.50376

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels
journal, June 2012

  • Zelinka, Mark D.; Klein, Stephen A.; Hartmann, Dennis L.
  • Journal of Climate, Vol. 25, Issue 11
  • DOI: 10.1175/JCLI-D-11-00248.1

Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions
journal, February 2015


Stratocumulus Clouds in Southeastern Pacific Simulated by Eight CMIP5–CFMIP Global Climate Models
journal, April 2014


Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements
journal, January 2010

  • Hu, Yongxiang; Rodier, Sharon; Xu, Kuan-man
  • Journal of Geophysical Research, Vol. 115
  • DOI: 10.1029/2009JD012384

Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization
journal, August 2013


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

Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements
journal, January 2005


Using Probability Density Functions to Derive Consistent Closure Relationships among Higher-Order Moments
journal, April 2005

  • Larson, Vincent E.; Golaz, Jean-Christophe
  • Monthly Weather Review, Vol. 133, Issue 4
  • DOI: 10.1175/MWR2902.1

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

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

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

Evaluating cloud tuning in a climate model with satellite observations: EVALUATION OF CLOUD TUNING
journal, August 2013

  • Suzuki, Kentaroh; Golaz, Jean-Christophe; Stephens, Graeme L.
  • Geophysical Research Letters, Vol. 40, Issue 16
  • DOI: 10.1002/grl.50874

Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE
journal, January 2008

  • Xie, Shaocheng; Boyle, James; Klein, Stephen A.
  • Journal of Geophysical Research, Vol. 113, Issue D4
  • DOI: 10.1029/2007JD009225

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

Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition-4.0 Data Product
journal, January 2018


Insights from a refined decomposition of cloud feedbacks: REFINED CLOUD FEEDBACK DECOMPOSITION
journal, September 2016

  • Zelinka, Mark D.; Zhou, Chen; Klein, Stephen A.
  • Geophysical Research Letters, Vol. 43, Issue 17
  • DOI: 10.1002/2016GL069917

Evaluation of tropical cloud and precipitation statistics of Community Atmosphere Model version 3 using CloudSat and CALIPSO data
journal, January 2010

  • Zhang, Y.; Klein, S. A.; Boyle, J.
  • Journal of Geophysical Research, Vol. 115, Issue D12
  • DOI: 10.1029/2009JD012006

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

    Works referencing / citing this record:

    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

    Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling
    journal, January 2019

    • Tang, Qi; Klein, Stephen A.; Xie, Shaocheng
    • Geoscientific Model Development, Vol. 12, Issue 7
    • DOI: 10.5194/gmd-12-2679-2019

    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

    Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling
    journal, January 2019

    • Tang, Qi; Klein, Stephen A.; Xie, Shaocheng
    • Geoscientific Model Development, Vol. 12, Issue 7
    • DOI: 10.5194/gmd-12-2679-2019

    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

    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

    Improved Simulation of the QBO in E3SMv1
    journal, November 2019

    • Richter, Jadwiga H.; Chen, Chih‐Chieh; Tang, Qi
    • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 11
    • DOI: 10.1029/2019ms001763

    The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution
    journal, December 2019

    • Caldwell, Peter M.; Mametjanov, Azamat; Tang, Qi
    • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 12
    • DOI: 10.1029/2019ms001870