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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 Lab. (LLNL), Livermore, CA (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
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; 949736
Grant/Contract Number:  
AC52-07NA27344; DE‐AC02‐05CH11231; DE‐AC52‐07NA27344
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
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. Mon . "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},
issn = {1942-2466},
number = 5,
volume = 11,
place = {United States},
year = {2019},
month = {4}
}

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

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Cited by: 3 works
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