A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions

A method that enables a mass-flux cumulus parameterization scheme (CPS) to work seamlessly in various model grids across CPS gray-zone resolutions is proposed. The convective cloud-base mass flux, convective inhibition, and convective detrainment in the simplified Arakawa–Schubert (SAS) scheme are m...

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Published inMonthly weather review Vol. 145; no. 2; pp. 583 - 598
Main Authors Kwon, Young Cheol, Hong, Song-You
Format Journal Article
LanguageEnglish
Published Washington American Meteorological Society 01.02.2017
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Abstract A method that enables a mass-flux cumulus parameterization scheme (CPS) to work seamlessly in various model grids across CPS gray-zone resolutions is proposed. The convective cloud-base mass flux, convective inhibition, and convective detrainment in the simplified Arakawa–Schubert (SAS) scheme are modified to be functions of the convective updraft fraction. The combination of two updraft fractions is used to modulate the cloud-base mass flux; the first one depends on the horizontal grid space and the other is a function of the grid-scale and convective vertical velocity. The convective inhibition and detrainment of hydrometeors are also modified to be a function of the grid-size-dependent convective updraft fraction. A set of sensitivity experiments with the Weather Research and Forecasting (WRF) Model is conducted for a heavy rainfall case over South Korea. The results show that the revised SAS CPS outperforms the original SAS. At 3 and 1 km, the precipitation core over South Korea is well reproduced by the experiments with the revised SAS scheme. On the contrary, the simulated precipitation is widespread in the case of the original SAS experiment and there are multiple spurious cores when the CPS is removed at those resolutions. The modified mass flux at the cloud base is found to play a major role in organizing the grid-scale precipitation at the convective core. A 1-month simulation at 3 km confirms that the revised scheme produces slightly better summer monsoonal precipitation results as compared to the typical model setup without CPS.
AbstractList A method that enables a mass-flux cumulus parameterization scheme (CPS) to work seamlessly in various model grids across CPS gray-zone resolutions is proposed. The convective cloud-base mass flux, convective inhibition, and convective detrainment in the simplified Arakawa–Schubert (SAS) scheme are modified to be functions of the convective updraft fraction. The combination of two updraft fractions is used to modulate the cloud-base mass flux; the first one depends on the horizontal grid space and the other is a function of the grid-scale and convective vertical velocity. The convective inhibition and detrainment of hydrometeors are also modified to be a function of the grid-size-dependent convective updraft fraction. A set of sensitivity experiments with the Weather Research and Forecasting (WRF) Model is conducted for a heavy rainfall case over South Korea. The results show that the revised SAS CPS outperforms the original SAS. At 3 and 1 km, the precipitation core over South Korea is well reproduced by the experiments with the revised SAS scheme. On the contrary, the simulated precipitation is widespread in the case of the original SAS experiment and there are multiple spurious cores when the CPS is removed at those resolutions. The modified mass flux at the cloud base is found to play a major role in organizing the grid-scale precipitation at the convective core. A 1-month simulation at 3 km confirms that the revised scheme produces slightly better summer monsoonal precipitation results as compared to the typical model setup without CPS.
A method that enables a mass-flux cumulus parameterization scheme (CPS) to work seamlessly in various model grids across CPS gray-zone resolutions is proposed. The convective cloud-base mass flux, convective inhibition, and convective detrainment in the simplified Arakawa-Schubert (SAS) scheme are modified to be functions of the convective updraft fraction. The combination of two updraft fractions is used to modulate the cloud-base mass flux; the first one depends on the horizontal grid space and the other is a function of the grid-scale and convective vertical velocity. The convective inhibition and detrainment of hydrometeors are also modified to be a function of the grid-size-dependent convective updraft fraction. A set of sensitivity experiments with the Weather Research and Forecasting (WRF) Model is conducted for a heavy rainfall case over South Korea. The results show that the revised SAS CPS outperforms the original SAS. At 3 and 1 km, the precipitation core over South Korea is well reproduced by the experiments with the revised SAS scheme. On the contrary, the simulated precipitation is widespread in the case of the original SAS experiment and there are multiple spurious cores when the CPS is removed at those resolutions. The modified mass flux at the cloud base is found to play a major role in organizing the grid-scale precipitation at the convective core. A 1-month simulation at 3 km confirms that the revised scheme produces slightly better summer monsoonal precipitation results as compared to the typical model setup without CPS.
Author Hong, Song-You
Kwon, Young Cheol
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Cites_doi 10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2
10.1175/MWR-D-13-00100.1
10.1175/MWR-D-15-0311.1
10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
10.1002/qj.28
10.1175/WAF-D-14-00060.1
10.1175/1520-0493(1998)126<2599:CTFFAM>2.0.CO;2
10.1175/MWR3199.1
10.5194/acp-11-3731-2011
10.1080/07055900.1995.9649539
10.1175/2009MWR2750.1
10.1175/MWR-D-15-0005.1
10.5065/D68S4MVH
10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
10.1007/s00703-014-0312-x
10.1175/1520-0493(1999)127<1967:ACOTDM>2.0.CO;2
10.1175/1520-0493(1997)125<1931:APCSFO>2.0.CO;2
10.1029/2008JD009944
10.1029/97JD00237
10.1175/2011BAMS3224.1
10.1175/1520-0469(1974)031<1232:FSOTPO>2.0.CO;2
10.1175/JAS-D-12-0330.1
10.1175/WAF-D-13-00143.1
10.2151/jmsj.2004.1469
10.1175/WAF-D-11-00147.1
10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2
10.5194/acp-14-5233-2014
10.14383/cri.2014.9.4.269
10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2
10.1007/s00382-014-2301-7
10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2
10.1175/JAS-D-13-0163.1
10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
10.1175/1520-0493(1993)121<0764:PEOAUB>2.0.CO;2
10.1175/MWR-D-11-00046.1
10.1002/2015JD023337
10.1175/WAF-D-10-05038.1
10.1007/s00703-009-0050-7
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References Kain, J. S. (bib27) 1990; 47
Grell, G. A. (bib15) 1993; 121
Hong, S.-Y. (bib22) 2006; 134
Wang, Y.-C. (bib42) 2015; 120
Hong, S.-Y. (bib21) 2004; 132
Hong, S.-Y. (bib23) 2013
Ghan, S. J. (bib13) 1999; 127
Skamarock, W. C. (bib40) 2008
Zheng, Y. (bib45) 2016; 144
Arakawa, A. (bib2) 1974; 31
Kuell, V. (bib30) 2007; 133
Zhao, Q. (bib44) 1997; 125
Grell, G. A. (bib16) 2014; 14
Moon, J.-Y. (bib35) 2014; 9
Arakawa, A. (bib3) 2013; 70
Arakawa, A. (bib1) 2004; 17
Gomes, J. L. (bib14) 2010; 106
Kain, J. S. (bib26) 2004; 43
Fowler, L. D. (bib11) 2016; 144
Mlawer, E. J. (bib34) 1997; 102
Pan, H.-L. (bib37) 2014
Tiedtke, M. (bib41) 1989; 117
Arakawa, A. (bib4) 2011; 11
Schwartz, C. S. (bib39) 2014; 142
Hong, S.-Y. (bib18) 2004; 82
Kuo, H. L. (bib31) 1974; 31
Jang, J. (bib25) 2014; 124
Hong, S.-Y. (bib20) 2012; 93
Clark, A. J. (bib9) 2012; 27
Bechtold, P. (bib5) 2014; 71
Lim, K.-S. S. (bib32) 2014; 29
Betts, A. (bib6) 1986; 112
Chen, F. (bib8) 2001; 129
Pan, H.-L. (bib36) 1995
Qiao, F. (bib38) 2014; 45
Koo, M.-S. (bib29) 2009; 45
McMillen, J. D. (bib33) 2015; 30
Ek, M. B. (bib10) 2003; 108
Gerard, L. (bib12) 2009; 137
Hong, S.-Y. (bib19) 1998; 126
Iacono, M. J. (bib24) 2008; 113
Han, J. (bib17) 2011; 26
Zhang, G. J. (bib43) 1995; 33
Bryan, G. H. (bib7) 2012; 140
References_xml – volume: 17
  start-page: 2493
  year: 2004
  ident: bib1
  article-title: The cumulus parameterization problem: Past, present, and future
  doi: 10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2
– volume: 142
  start-page: 716
  year: 2014
  ident: bib39
  article-title: Convection-permitting forecasts initialized with continuously cycling limited-area 3DVAR, ensemble Kalman filter, and “hybrid” variational–ensemble data assimilation systems
  doi: 10.1175/MWR-D-13-00100.1
– volume: 144
  start-page: 2285
  year: 2016
  ident: bib11
  article-title: Analyzing the Grell–Freitas convection scheme from hydrostatic to nonhydrostatic scales within a global model
  doi: 10.1175/MWR-D-15-0311.1
– volume: 132
  start-page: 103
  year: 2004
  ident: bib21
  article-title: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation
  doi: 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
– volume: 112
  start-page: 693
  year: 1986
  ident: bib6
  article-title: A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX and arctic air-mass data sets
– year: 2014
  ident: bib37
– volume: 133
  start-page: 479
  year: 2007
  ident: bib30
  article-title: Towards a new hybrid cumulus parametrization scheme for use in non-hydrostatic weather prediction models
  doi: 10.1002/qj.28
– volume: 30
  start-page: 136
  year: 2015
  ident: bib33
  article-title: Impact of microphysics parameterizations on simulations of the 27 October 2010 Great Salt Lake–effect snowstorm
  doi: 10.1175/WAF-D-14-00060.1
– volume: 126
  start-page: 2599
  year: 1998
  ident: bib19
  article-title: Convective trigger function for a mass flux cumulus parameterization scheme
  doi: 10.1175/1520-0493(1998)126<2599:CTFFAM>2.0.CO;2
– volume: 134
  start-page: 2318
  year: 2006
  ident: bib22
  article-title: A new vertical diffusion package with an explicit treatment of entrainment processes
  doi: 10.1175/MWR3199.1
– volume: 11
  start-page: 3731
  year: 2011
  ident: bib4
  article-title: Toward unification of the multiscale modeling of the atmosphere
  doi: 10.5194/acp-11-3731-2011
– year: 2013
  ident: bib23
– volume: 33
  start-page: 407
  year: 1995
  ident: bib43
  article-title: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model
  doi: 10.1080/07055900.1995.9649539
– volume: 137
  start-page: 3960
  year: 2009
  ident: bib12
  article-title: Cloud and precipitation parameterization in a meso-gamma-scale operational weather prediction model
  doi: 10.1175/2009MWR2750.1
– volume: 144
  start-page: 833
  year: 2016
  ident: bib45
  article-title: Improving high-resolution weather forecasts using the Weather Research and Forecasting (WRF) Model with an updated Kain–Fritsch scheme
  doi: 10.1175/MWR-D-15-0005.1
– year: 2008
  ident: bib40
  doi: 10.5065/D68S4MVH
– volume: 43
  start-page: 170
  year: 2004
  ident: bib26
  article-title: The Kain–Fritsch convective parameterization: An update
  doi: 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
– volume: 124
  start-page: 113
  year: 2014
  ident: bib25
  article-title: Quantitative forecast experiment of a heavy rainfall event over Korea in a global model: Horizontal resolution versus lead time issues
  doi: 10.1007/s00703-014-0312-x
– volume: 127
  start-page: 1967
  year: 1999
  ident: bib13
  article-title: A comparison of three different modeling strategies for evaluating cloud and radiation parameterizations
  doi: 10.1175/1520-0493(1999)127<1967:ACOTDM>2.0.CO;2
– volume: 125
  start-page: 1931
  year: 1997
  ident: bib44
  article-title: A prognostic cloud scheme for operational NWP models
  doi: 10.1175/1520-0493(1997)125<1931:APCSFO>2.0.CO;2
– volume: 113
  start-page: D13103
  year: 2008
  ident: bib24
  article-title: Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models
  doi: 10.1029/2008JD009944
– volume: 102
  start-page: 16 663
  year: 1997
  ident: bib34
  article-title: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
  doi: 10.1029/97JD00237
– volume: 93
  start-page: ES6
  year: 2012
  ident: bib20
  article-title: Next-generation numerical weather prediction: Bridging parameterization, explicit clouds, and large eddies
  doi: 10.1175/2011BAMS3224.1
– volume: 31
  start-page: 1232
  year: 1974
  ident: bib31
  article-title: Further studies of the parameterization of the influence of cumulus convection on large-scale flow
  doi: 10.1175/1520-0469(1974)031<1232:FSOTPO>2.0.CO;2
– volume: 70
  start-page: 1977
  year: 2013
  ident: bib3
  article-title: A unified representation of deep moist convection in numerical modeling of the atmosphere. Part I
  doi: 10.1175/JAS-D-12-0330.1
– volume: 29
  start-page: 1143
  year: 2014
  ident: bib32
  article-title: Simulation of the summer monsoon rainfall over East Asia using the NCEP GFS cumulus parameterization at different horizontal resolutions
  doi: 10.1175/WAF-D-13-00143.1
– volume: 82
  start-page: 1469
  year: 2004
  ident: bib18
  article-title: Comparison of heavy rainfall mechanisms in Korea and the central US
  doi: 10.2151/jmsj.2004.1469
– volume: 108
  start-page: 8851
  year: 2003
  ident: bib10
  article-title: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale eta model
– volume: 27
  start-page: 1090
  year: 2012
  ident: bib9
  article-title: Forecasting tornado pathlengths using a three-dimensional object identification algorithm applied to convection-allowing forecasts
  doi: 10.1175/WAF-D-11-00147.1
– volume: 47
  start-page: 2784
  year: 1990
  ident: bib27
  article-title: A one-dimensional entraining/detraining plume model and its application in convective parameterization
  doi: 10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2
– year: 1995
  ident: bib36
– volume: 14
  start-page: 5233
  year: 2014
  ident: bib16
  article-title: A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling
  doi: 10.5194/acp-14-5233-2014
– volume: 9
  start-page: 269
  year: 2014
  ident: bib35
  article-title: A study on the characteristics of summer rainfall over South Korea in recent 5 years
  doi: 10.14383/cri.2014.9.4.269
– volume: 117
  start-page: 1779
  year: 1989
  ident: bib41
  article-title: A comprehensive mass flux scheme for cumulus parameterization in large-scale models
  doi: 10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2
– volume: 45
  start-page: 727
  year: 2014
  ident: bib38
  article-title: Effects of cumulus parameterizations on predictions of summer flood in the central United States
  doi: 10.1007/s00382-014-2301-7
– volume: 31
  start-page: 674
  year: 1974
  ident: bib2
  article-title: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I
  doi: 10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2
– volume: 71
  start-page: 734
  year: 2014
  ident: bib5
  article-title: Representing equilibrium and nonequilibrium convection in large-scale models
  doi: 10.1175/JAS-D-13-0163.1
– volume: 129
  start-page: 569
  year: 2001
  ident: bib8
  article-title: Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system. Part I: Model implementation and sensitivity
  doi: 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
– volume: 121
  start-page: 764
  year: 1993
  ident: bib15
  article-title: Prognostic evaluation of assumptions used by cumulus parameterizations
  doi: 10.1175/1520-0493(1993)121<0764:PEOAUB>2.0.CO;2
– volume: 45
  start-page: 265
  year: 2009
  ident: bib29
  article-title: An evaluation of the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) data over South Korea
– volume: 140
  start-page: 202
  year: 2012
  ident: bib7
  article-title: Sensitivity of a simulated squall line to horizontal resolution and parameterization of microphysics
  doi: 10.1175/MWR-D-11-00046.1
– volume: 120
  start-page: 10 681
  year: 2015
  ident: bib42
  article-title: Impacts of the triggering function of cumulus parameterization on warm-season diurnal rainfall cycles at the atmospheric radiation measurement Southern Great Plains site
  doi: 10.1002/2015JD023337
– volume: 26
  start-page: 520
  year: 2011
  ident: bib17
  article-title: Revision of convection and vertical diffusion schemes in the NCEP Global Forecast System
  doi: 10.1175/WAF-D-10-05038.1
– volume: 106
  start-page: 1
  year: 2010
  ident: bib14
  article-title: Dependence of partitioning of model implicit and explicit precipitation on horizontal resolution
  doi: 10.1007/s00703-009-0050-7
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Snippet A method that enables a mass-flux cumulus parameterization scheme (CPS) to work seamlessly in various model grids across CPS gray-zone resolutions is proposed....
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SubjectTerms Atmospheric precipitations
Climate
Climatology
Cloud parameterization
Clouds
Computer simulation
Convective clouds
Cores
Detrainment
Experiments
Fluctuations
Flux
Heavy rainfall
Hydrometeors
Mass
Mass flux
Parameterization
Precipitation
Rain
Rainfall
Simulation
Studies
Summer monsoon
Velocity
Vertical velocities
Weather
Weather forecasting
Title A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions
URI https://www.proquest.com/docview/1924597908
Volume 145
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