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Title: Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2014JD022142· OSTI ID:1391863
 [1];  [2];  [3]; ORCiD logo [4];  [5];  [6];  [7];  [8];  [1]; ORCiD logo [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Air Resources Board, Sacramento, CA (United States)
  3. NASA Langley Research Center, Hampton, VA (United States)
  4. McGill Univ., Montreal, QC (Canada)
  5. Argonne National Lab. (ANL), Argonne, IL (United States)
  6. Univ. of North Dakota, Grand Forks, ND (United States)
  7. Univ. of California, La Jolla, CA (United States). Scripps Inst. of Oceanography
  8. Nanjing Univ. of Information Science and Technology (China)

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

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
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)
Grant/Contract Number:
AC02-06CH11357; AC06-76RLO1830; SC0008468
OSTI ID:
1391863
Alternate ID(s):
OSTI ID: 1402190
Journal Information:
Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 8; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 53 works
Citation information provided by
Web of Science

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Cited By (5)

Are atmospheric updrafts a key to unlocking climate forcing and sensitivity? journal January 2016
Comparison of Simulations of Updraft Mass Fluxes and Their Response to Increasing Aerosol Concentration between a Bin Scheme and a Bulk Scheme in a Deep-Convective Cloud System journal June 2019
The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations journal September 2019
Estimation of liquid water path below the melting layer in stratiform precipitation systems using radar measurements during MC3E journal January 2019
Are atmospheric updrafts a key to unlocking climate forcing and sensitivity? text January 2016

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