Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics
Abstract
The ultimate goal of this study is to improve the representation of convective transport by cumulus parameterization for mesoscale and climate models. As Part 1 of the study, we perform extensive evaluations of cloud-resolving simulations of a squall line and mesoscale convective complexes in midlatitude continent and tropical regions using the Weather Research and Forecasting model with spectral bin microphysics (SBM) and with two double-moment bulk microphysics schemes: a modified Morrison (MOR) and Milbrandt and Yau (MY2). Compared to observations, in general, SBM gives better simulations of precipitation and vertical velocity of convective cores than MOR and MY2 and therefore will be used for analysis of scale dependence of eddy transport in Part 2. We report the common features of the simulations for all convective systems are (1) the model tends to overestimate convection intensity in the middle and upper troposphere, but SBM can alleviate much of the overestimation and reproduce the observed convection intensity well; (2) the model greatly overestimates Ze in convective cores, especially for the weak updraft velocity; and (3) the model performs better for midlatitude convective systems than the tropical system. The modeled mass fluxes of the midlatitude systems are not sensitive to microphysics schemes butmore »
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Air Resources Board, Sacramento, CA (United States)
- NASA Langley Research Center, Hampton, VA (United States)
- McGill Univ., Montreal, QC (Canada)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Univ. of North Dakota, Grand Forks, ND (United States)
- Univ. of California, La Jolla, CA (United States). Scripps Inst. of Oceanography
- Nanjing Univ. of Information Science and Technology (China)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC); National Aeronautics and Space Administration (NASA)
- OSTI Identifier:
- 1391863
- Alternate Identifier(s):
- OSTI ID: 1402190
- Grant/Contract Number:
- AC02-06CH11357; AC06-76RLO1830; SC0008468
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 120; Journal Issue: 8; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; cumulus parameterization; scale aware; deep convection; cloud‐resolving models; bin and bulk microphysics
Citation Formats
Fan, Jiwen, Liu, Yi-Chin, Xu, Kuan-Man, North, Kirk, Collis, Scott, Dong, Xiquan, Zhang, Guang J., Chen, Qian, Kollias, Pavlos, and Ghan, Steven J. Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics. United States: N. p., 2015.
Web. doi:10.1002/2014JD022142.
Fan, Jiwen, Liu, Yi-Chin, Xu, Kuan-Man, North, Kirk, Collis, Scott, Dong, Xiquan, Zhang, Guang J., Chen, Qian, Kollias, Pavlos, & Ghan, Steven J. Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics. United States. https://doi.org/10.1002/2014JD022142
Fan, Jiwen, Liu, Yi-Chin, Xu, Kuan-Man, North, Kirk, Collis, Scott, Dong, Xiquan, Zhang, Guang J., Chen, Qian, Kollias, Pavlos, and Ghan, Steven J. Thu .
"Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics". United States. https://doi.org/10.1002/2014JD022142. https://www.osti.gov/servlets/purl/1391863.
@article{osti_1391863,
title = {Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics},
author = {Fan, Jiwen and Liu, Yi-Chin and Xu, Kuan-Man and North, Kirk and Collis, Scott and Dong, Xiquan and Zhang, Guang J. and Chen, Qian and Kollias, Pavlos and Ghan, Steven J.},
abstractNote = {The ultimate goal of this study is to improve the representation of convective transport by cumulus parameterization for mesoscale and climate models. As Part 1 of the study, we perform extensive evaluations of cloud-resolving simulations of a squall line and mesoscale convective complexes in midlatitude continent and tropical regions using the Weather Research and Forecasting model with spectral bin microphysics (SBM) and with two double-moment bulk microphysics schemes: a modified Morrison (MOR) and Milbrandt and Yau (MY2). Compared to observations, in general, SBM gives better simulations of precipitation and vertical velocity of convective cores than MOR and MY2 and therefore will be used for analysis of scale dependence of eddy transport in Part 2. We report the common features of the simulations for all convective systems are (1) the model tends to overestimate convection intensity in the middle and upper troposphere, but SBM can alleviate much of the overestimation and reproduce the observed convection intensity well; (2) the model greatly overestimates Ze in convective cores, especially for the weak updraft velocity; and (3) the model performs better for midlatitude convective systems than the tropical system. The modeled mass fluxes of the midlatitude systems are not sensitive to microphysics schemes but are very sensitive for the tropical case indicating strong microphysics modification to convection. Cloud microphysical measurements of rain, snow, and graupel in convective cores will be critically important to further elucidate issues within cloud microphysics schemes},
doi = {10.1002/2014JD022142},
journal = {Journal of Geophysical Research: Atmospheres},
number = 8,
volume = 120,
place = {United States},
year = {Thu Mar 26 00:00:00 EDT 2015},
month = {Thu Mar 26 00:00:00 EDT 2015}
}
Web of Science
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