Improved Simulation of Florida Summer Convection Using the PLACE Land Model and a 1.5-Order Turbulence Parameterization Coupled to the Penn State–NCAR Mesoscale Model

Barry H. Lynn Columbia University Center for Climate System Research, New York, New York, and Mesoscale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

Search for other papers by Barry H. Lynn in
Current site
Google Scholar
PubMed
Close
,
David R. Stauffer Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania

Search for other papers by David R. Stauffer in
Current site
Google Scholar
PubMed
Close
,
Peter J. Wetzel Mesoscale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

Search for other papers by Peter J. Wetzel in
Current site
Google Scholar
PubMed
Close
,
Wei-Kuo Tao Mesoscale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

Search for other papers by Wei-Kuo Tao in
Current site
Google Scholar
PubMed
Close
,
Pinhas Alpert Department of Geophysics and Planetary Sciences, Tel Aviv University, Tel Aviv, Israel

Search for other papers by Pinhas Alpert in
Current site
Google Scholar
PubMed
Close
,
Nataly Perlin Department of Geophysics and Planetary Sciences, Tel Aviv University, Tel Aviv, Israel

Search for other papers by Nataly Perlin in
Current site
Google Scholar
PubMed
Close
,
R. David Baker Universities Space Research Association, Mesoscale Atmospheric Processes Branch, Greenbelt, Maryland

Search for other papers by R. David Baker in
Current site
Google Scholar
PubMed
Close
,
Ricardo Muñoz Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania

Search for other papers by Ricardo Muñoz in
Current site
Google Scholar
PubMed
Close
,
Aaron Boone *CNRM/Météo France, Toulouse, France

Search for other papers by Aaron Boone in
Current site
Google Scholar
PubMed
Close
, and
Yiqin Jia Science Systems and Applications Inc., Mesoscale Atmospheric Processes Branch, Greenbelt, Maryland

Search for other papers by Yiqin Jia in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Three major modifications to the treatment of land surface processes in the Pennsylvania State University–National Center for Atmospheric Research mesoscale model MM5, are tested in a matrix of eight model experiments. Paired together in each dimension of the matrix are versions of the code with and without one of the changes. The three changes involve 1) a sophisticated land surface model [the Parameterization for Land–Atmosphere Convective Exchange (PLACE)], 2) the soil moisture and temperature initial conditions derived from running PLACE offline, and 3) a 1.5-order turbulent kinetic energy (TKE) turbulence boundary layer. The code without changes, defined as the control code, uses the most widely applied land surface, soil initialization, and boundary layer options found in the current MM5 community code. As an initial test of these modifications, a case was chosen in which they should have their greatest effect: conditions where heterogeneous surface forcing dominates over dynamic processes. The case chosen is one with widespread summertime moist convection, during the Convection and Precipitation Electrification Experiment (CaPE) in the middle of the Florida peninsula. Of the eight runs, the code with all three changes (labeled TKE-PLACE) demonstrates the best overall skill in terms of biases of the surface variables, rainfall, and percent and root-mean-square error of cloud cover fraction for this case. An early, isolated convective storm that formed near the east coast, at the downwind edge of a region of anomalous wet soil, and within the dense cluster of CaPE mesoscale observation stations, is correctly simulated only by TKE-PLACE. It does not develop in any of the other seven runs. A factor separation analysis shows that a successful simulation requires the inclusion of the more sophisticated land surface model, realistic initial soil moisture and temperature, and the higher-order closure of the planetary boundary layer (PBL) in order to better represent the effect of joint and synergistic (nonlinear) contributions from the land surface and PBL on the moist convection.

Corresponding author address: Dr. Peter J. Wetzel, Mesoscale Atmospheric Processes Branch, Code 912, NASA Goddard Space Flight Center, Greenbelt, MD 20771. Email: wetzel@elena.gsfc.nasa.gov

Abstract

Three major modifications to the treatment of land surface processes in the Pennsylvania State University–National Center for Atmospheric Research mesoscale model MM5, are tested in a matrix of eight model experiments. Paired together in each dimension of the matrix are versions of the code with and without one of the changes. The three changes involve 1) a sophisticated land surface model [the Parameterization for Land–Atmosphere Convective Exchange (PLACE)], 2) the soil moisture and temperature initial conditions derived from running PLACE offline, and 3) a 1.5-order turbulent kinetic energy (TKE) turbulence boundary layer. The code without changes, defined as the control code, uses the most widely applied land surface, soil initialization, and boundary layer options found in the current MM5 community code. As an initial test of these modifications, a case was chosen in which they should have their greatest effect: conditions where heterogeneous surface forcing dominates over dynamic processes. The case chosen is one with widespread summertime moist convection, during the Convection and Precipitation Electrification Experiment (CaPE) in the middle of the Florida peninsula. Of the eight runs, the code with all three changes (labeled TKE-PLACE) demonstrates the best overall skill in terms of biases of the surface variables, rainfall, and percent and root-mean-square error of cloud cover fraction for this case. An early, isolated convective storm that formed near the east coast, at the downwind edge of a region of anomalous wet soil, and within the dense cluster of CaPE mesoscale observation stations, is correctly simulated only by TKE-PLACE. It does not develop in any of the other seven runs. A factor separation analysis shows that a successful simulation requires the inclusion of the more sophisticated land surface model, realistic initial soil moisture and temperature, and the higher-order closure of the planetary boundary layer (PBL) in order to better represent the effect of joint and synergistic (nonlinear) contributions from the land surface and PBL on the moist convection.

Corresponding author address: Dr. Peter J. Wetzel, Mesoscale Atmospheric Processes Branch, Code 912, NASA Goddard Space Flight Center, Greenbelt, MD 20771. Email: wetzel@elena.gsfc.nasa.gov

Save
  • Alpert, P., and M. Tsidulko, 1994: Project Wind—numerical simulation with Tel Aviv Model PSU-NCAR model run at Tel Aviv University. Mesoscale Modeling of the Atmosphere, Meteor. Monogr., No. 47, Amer. Meteor. Soc., 81–95.

    • Search Google Scholar
    • Export Citation
  • Atkins, N. T., R. M. Wakimoto, and T. M. Weckwerth, 1995: Observations of the sea-breeze front during CaPE. Part II: Dual-Doppler and aircraft analysis. Mon. Wea. Rev., 123 , 944969.

    • Search Google Scholar
    • Export Citation
  • Avissar, R., and F. Chen, 1993: Development and analysis of prognostic equations for mesoscale kinetic energy and mesoscale (subgrid-scale) fluxes for large scale atmospheric models. J. Atmos. Sci., 50 , 37513774.

    • Search Google Scholar
    • Export Citation
  • Barnes, S. L., 1964: A technique for maximizing details in numerical weather map analysis. J. Appl. Meteor., 3 , 396409.

  • Blanchard, D. O., and R. E. Lopez, 1985: Spatial patterns of convection in south Florida. Mon. Wea. Rev., 113 , 12821299.

  • Boone, A., and P. J. Wetzel, 1996: Issues related to low resolution modeling of soil moisture: Experience with the PLACE model. Global Planet. Change, 13 , 161181.

    • Search Google Scholar
    • Export Citation
  • ——, and ——,. 1999: A simple scheme for modeling sub-grid soil texture variability for use in an atmospheric climate model. J. Meteor. Soc. Japan, 77 , 317333.

    • Search Google Scholar
    • Export Citation
  • Boybeyi, Z., and S. Raman, 1992: A three-dimensional numerical sensitivity study of convection over the Florida peninsula. Bound.-Layer Meteor., 60 , 325359.

    • Search Google Scholar
    • Export Citation
  • Byers, H. R., and H. R. Rodebush, 1948: Causes of thunderstorms of the Florida peninsula. J. Meteor., 5 , 275280.

  • Chang, J-T., and P. J. Wetzel, 1991: Effects of spatial variations of soil moisture and vegetation on the evolution of a pre-storm environment: A numerical case study. Mon. Wea. Rev., 119 , 13681390.

    • Search Google Scholar
    • Export Citation
  • Chen, Y-L., and J-J. Wang, 1995: the effects of precipitation on the surface temperature and airflow over the island of Hawaii. Mon. Wea. Rev., 123 , 681694.

    • Search Google Scholar
    • Export Citation
  • Dudhia, J., 1993: A nonhydrostatic version of the Penn State–NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121 , 14931513.

    • Search Google Scholar
    • Export Citation
  • Fankhauser, J. C., N. A. Crook, J. Tuttle, L. J. Miller, and C. G. Wade, 1995: Initiation of deep convection along boundary layer convergence lines in a semi-tropical environment. Mon. Wea. Rev., 123 , 291313.

    • Search Google Scholar
    • Export Citation
  • Gayno, G. A., 1994: Development of a higher-order, fog producing boundary layer model suitable for use in numerical weather prediction. M. S. thesis, Dept. of Meteorology, The Pennsylvania State University, 104 pp. [Available from the Dept. of Meteorology, The Pennsylvania State University, University Park, PA 16802.].

    • Search Google Scholar
    • Export Citation
  • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 122 pp.

    • Search Google Scholar
    • Export Citation
  • Halverson, J., M. Garstang, J. Scala, and W-K. Tao, 1996: Water and energy budgets of a Florida mesoscale convective system: A combined observational and modeling study. Mon. Wea. Rev., 124 , 11611180.

    • Search Google Scholar
    • Export Citation
  • Hong, S-Y., and H-L. Pan, 1996: Nonlocal boundary layer diffusion in a medium-range forecast model. Mon. Wea. Rev., 124 , 23222339.

  • Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining plume model and its application to convective parameterization. J. Atmos. Sci., 47 , 27842802.

    • Search Google Scholar
    • Export Citation
  • Kingsmill, D. E., 1995: Convection initiation associated with a sea-breeze front, a gust front, and their collision. Mon. Wea. Rev., 123 , 29132933.

    • Search Google Scholar
    • Export Citation
  • Lynn, B. H., W-K. Tao, and P. J. Wetzel, 1998: A study of landscape-generated deep moist convection. Mon. Wea. Rev., 126 , 928942.

  • Lyons, W. A., C. J. Tremback, and R. A. Pielke, 1995: Applications of the Regional Atmospheric Modeling System (RAMS) to provide input to photochemical grid models for the Lake Michigan Ozone Study (LMOS). J. Appl. Meteor., 34 , 17621786.

    • Search Google Scholar
    • Export Citation
  • Mahrt, L., J. S. Sun, D. Vickers, J. I. MacPherson, J. R. Pederson, and R. L. Desjardins, 1994: Observations of fluxes and inland breezes over a heterogeneous surface. J. Atmos. Sci., 51 , 24842499.

    • Search Google Scholar
    • Export Citation
  • Meeson, B. W., and and Coauthors, 1995: ISLSCP initiative I—Global data sets for land–atmospheric models, 1987–1988. Volumes 1–5, Published on CD by NASA (USA_NASA_GDAAC_ISLSCP_001–USA_NASA_GDAAC_ISLSCP_005).

    • Search Google Scholar
    • Export Citation
  • Nicholls, M. E., R. A. Pielke, and W. R. Cotton, 1991: A two-dimensional numerical investigation of the interaction between sea breezes and deep convection over the Florida peninsula. Mon. Wea. Rev., 119 , 298323.

    • Search Google Scholar
    • Export Citation
  • Pielke, R. A., 1974: A three-dimensional numerical model of the sea breezes over south Florida. Mon. Wea. Rev., 102 , 115119.

  • ——,. 1984: Mesoscale Numerical Modeling. Academic Press, 612 pp.

  • ——, Dalu, G. A., J. S. Snook, T. J. Lee, and T. G. F. Kittel, 1991: Nonlinear influence of mesoscale land use on weather and climate. J. Climate, 4 , 10531069.

    • Search Google Scholar
    • Export Citation
  • ——, Lee, T. J., J. H. Copeland, J. L. Eastman, C. L. Ziegler, and C. A. Finley, 1997: Use of USGS-provided data to improve weather and climate simulations. Ecol. Appl., 7 , 321.

    • Search Google Scholar
    • Export Citation
  • ——, Walko, R. L., L. T. Steyaert, P. L. Vidale, G. E. Liston, W. A. Lyons, and T. N. Chase, 1999: The influence of anthropogenic landscape changes on weather in south Florida. Mon. Wea. Rev., 127 , 16531673.

    • Search Google Scholar
    • Export Citation
  • Shafran, P. C., N. L. Seaman, and G. A. Gayno, 2000: Evaluation of numerical predictions of boundary layer structure during the Lake Michigan Ozone Study. J. Appl. Meteor., 39 , 412426.

    • Search Google Scholar
    • Export Citation
  • Shaw, B. L., R. A. Pielke, and C. L. Ziegler, 1997: A three-dimensional numerical simulation of a Great Plains dryline. Mon. Wea. Rev., 125 , 14891506.

    • Search Google Scholar
    • Export Citation
  • Stauffer, D. R., and N. L. Seaman, 1999: Intercomparison of turbulence parameterizations for simulating coastal-zone marine boundary layer structure. Preprints, Third Conf. on Coastal Atmospheric and Oceanic Prediction Processes, New Orleans, LA, Amer. Meteor. Soc., 2–7.

    • Search Google Scholar
    • Export Citation
  • ——, Muñoz, R. C., and N. L. Seaman, 1999: In-cloud turbulence and explicit microphysics in the MM5. Preprints, Ninth MM5 Users Workshop, Boulder, CO, National Center for Atmospheric Research, 177–180.

    • Search Google Scholar
    • Export Citation
  • Stein, U., and P. Alpert, 1993: Factor separation in numerical simulations. J. Atmos. Sci., 50 , 21072115.

  • Watson, A. I., and D. O. Blanchard, 1984: The relationship between total area divergence and convective precipitation in south Florida. Mon. Wea. Rev., 112 , 673685.

    • Search Google Scholar
    • Export Citation
  • Wetzel, P. J., and A. Boone, 1995: A parameterization for land–atmosphere–cloud exchange (PLACE): Documentation and testing of a detailed process model of the partly cloudy boundary layer over heterogeneous land. J. Climate, 8 , 18101837.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. W., and D. L. Megenhardt, 1997: Thunderstorm initiation, organization, and lifetime associated with Florida boundary layer convergence lines. Mon. Wea. Rev., 125 , 15071525.

    • Search Google Scholar
    • Export Citation
  • Xu, L., S. Raman, R. V. Madala, and R. Hodur, 1996: A non-hydrostatic modeling study of surface moisture effects on mesoscale convection induced by sea breeze circulation. Meteor. Atmos. Phys., 58 , 103122.

    • Search Google Scholar
    • Export Citation
  • Zhang, D. L., and R. A. Anthes, 1982: A high resolution model of the planetary boundary layer: Sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteor., 21 , 15941609.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 2442 2273 128
PDF Downloads 90 22 0