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Title: Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign

Abstract

Regional cloud permitting model simulations of cloud populations observed during the 2011 ARM Madden Julian Oscillation Investigation Experiment/ Dynamics of Madden-Julian Experiment (AMIE/DYNAMO) field campaign are evaluated against radar and ship-based measurements. Sensitivity of model simulated surface rain rate statistics to parameters and parameterization of hydrometeor sizes in five commonly used WRF microphysics schemes are examined. It is shown that at 2 km grid spacing, the model generally overestimates rain rate from large and deep convective cores. Sensitivity runs involving variation of parameters that affect rain drop or ice particle size distribution (more aggressive break-up process etc) generally reduce the bias in rain-rate and boundary layer temperature statistics as the smaller particles become more vulnerable to evaporation. Furthermore significant improvement in the convective rain-rate statistics is observed when the horizontal grid-spacing is reduced to 1 km and 0.5 km, while it is worsened when run at 4 km grid spacing as increased turbulence enhances evaporation. The results suggest modulation of evaporation processes, through parameterization of turbulent mixing and break-up of hydrometeors may provide a potential avenue for correcting cloud statistics and associated boundary layer temperature biases in regional and global cloud permitting model simulations.

Authors:
 [1];  [1];  [1];  [1];  [1];  [2];  [3]
+ Show Author Affiliations
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Science Systems and Applications, Inc., Lanham, MD (United States)
  3. National Center for Atmospheric Research, Boulder, CO (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1166681
Report Number(s):
PNNL-SA-100601
Journal ID: ISSN 2169-8996; KP1703010
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Geophysical Research: Atmospheres (Online)
Additional Journal Information:
Journal Volume: 119; Journal Issue: 21; Journal ID: ISSN 2169-8996
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; clouds; high resolution simulations; Madden-Julian Oscillation; AMIE/DYNAMO

Citation Formats

Hagos, Samson M., Feng, Zhe, Burleyson, Casey D., Lim, Kyo-Sun, Long, Charles N., Wu, Di, and Thompson, Gregory. Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign. United States: N. p., 2014. Web. doi:10.1002/2014JD022143.
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Hagos, Samson M., Feng, Zhe, Burleyson, Casey D., Lim, Kyo-Sun, Long, Charles N., Wu, Di, & Thompson, Gregory. Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign. United States. https://doi.org/10.1002/2014JD022143
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Hagos, Samson M., Feng, Zhe, Burleyson, Casey D., Lim, Kyo-Sun, Long, Charles N., Wu, Di, and Thompson, Gregory. 2014. "Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign". United States. https://doi.org/10.1002/2014JD022143.
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@article{osti_1166681,
title = {Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign},
author = {Hagos, Samson M. and Feng, Zhe and Burleyson, Casey D. and Lim, Kyo-Sun and Long, Charles N. and Wu, Di and Thompson, Gregory},
abstractNote = {Regional cloud permitting model simulations of cloud populations observed during the 2011 ARM Madden Julian Oscillation Investigation Experiment/ Dynamics of Madden-Julian Experiment (AMIE/DYNAMO) field campaign are evaluated against radar and ship-based measurements. Sensitivity of model simulated surface rain rate statistics to parameters and parameterization of hydrometeor sizes in five commonly used WRF microphysics schemes are examined. It is shown that at 2 km grid spacing, the model generally overestimates rain rate from large and deep convective cores. Sensitivity runs involving variation of parameters that affect rain drop or ice particle size distribution (more aggressive break-up process etc) generally reduce the bias in rain-rate and boundary layer temperature statistics as the smaller particles become more vulnerable to evaporation. Furthermore significant improvement in the convective rain-rate statistics is observed when the horizontal grid-spacing is reduced to 1 km and 0.5 km, while it is worsened when run at 4 km grid spacing as increased turbulence enhances evaporation. The results suggest modulation of evaporation processes, through parameterization of turbulent mixing and break-up of hydrometeors may provide a potential avenue for correcting cloud statistics and associated boundary layer temperature biases in regional and global cloud permitting model simulations.},
doi = {10.1002/2014JD022143},
url = {https://www.osti.gov/biblio/1166681}, journal = {Journal of Geophysical Research: Atmospheres (Online)},
issn = {2169-8996},
number = 21,
volume = 119,
place = {United States},
year = {Wed Nov 12 00:00:00 EST 2014},
month = {Wed Nov 12 00:00:00 EST 2014}
}
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Journal Article:
https://doi.org/10.1002/2014JD022143
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