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A comprehensive meteorological modeling system—RAMS

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Summary

This paper presents a range of applications of the Regional Atmospheric Modeling System (RAMS), a comprehensive mesoscale meterological modeling system. Applications discussed in this paper include large eddy simulations (LES) and simulations of thunderstorms, cumulus fields, mesoscale convective systems, mid-latitude cirrus clouds, winter storms, mechanically- and thermally-forced mesoscale systems, and mesoscale atmospheric disperision. A summary of current RAMS options is also presented. Improvements to RAMS currently underway include refinements to the cloud radiation, cloud microphysics, cumulus, and surface soil/vegetative parameterization schemes, the parallelization of the code, development of a more versatile visualization capability, and research into meso-α-scale cumulus parameterization.

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References

  • Atwater, M. A., Brown, Jr., P. S., 1974: Numerical calculation of the latitudinal variation of solar radiation for an atmosphere of varying opacity.J. Appl. Meteor.,13, 289–297.

    Google Scholar 

  • Avissar, R., Mahrer, Y., 1988: Mapping frost-sensitive areas with a three-dimensional local-scale numerical model. Part I: Physical and numerical aspects.J. Appl. Meteor.,27, 400–413.

    Google Scholar 

  • Avissar, R., Pielke, R. A., 1989: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology.Mon. Wea. Rev.,117, 2113–2136.

    Google Scholar 

  • Barnes, S. L., 1973: Mesoscale objective map analysis using weighted time-series observations. NOAA Tech. Memo. ERL NSSL-62 [NTIS COM-73-10781], March, National Severe Storms Laboratory, Norman, Oklahoma, 60 pp.

    Google Scholar 

  • Bleck, R., Haagenson, P. L., 1968: Objective analysis on isentropic surfaces. NCAR Tech. Note, TN-39, December, National Center for Atmospheric Research, Boulder, Colorado, 27 pp.

    Google Scholar 

  • Bossert, J. E., 1990: Regional-scale flows in complex terrain: an observational and numerical investigation. Paper No. 472, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 254 pp.

    Google Scholar 

  • Buckley, A., 1985: Algorithm 630: BBVSCG—a variablestorage algorithm for function minimization.ACM Trans. on Math. Soft.,11, 103–119.

    Google Scholar 

  • Chen, C., Cotton, W. R., 1983: A one-dimensional simulation of the stratocumulus-capped mixed layer.Bound.-Layer Meteor.,25, 289–321.

    Google Scholar 

  • Chen, C., Cotton, W. R., 1987: The physics of the marine stratocumulus-capped mixed layer.J. Atmos. Sci.,44, 2951–2977.

    Google Scholar 

  • Chen, S., Cotton, W. R., 1988: The sensitivity of a simulated extratropical mesoscale convective system to longwave radiation and ice-phase microphysics.J. Atmos. Sci.,45, 3897–3910.

    Google Scholar 

  • Clark, T. L., Farley, R. D., 1984: Severe downslope windstorm calculations in two and three spatial dimensions using anelastic interactive grid nesting: A possible mechanism for gustiness.J. Atmos. Sci.,41, 329–350.

    Google Scholar 

  • Copeland, J. H., Pielke, R. A., Cotton, W. R., 1991: The effect of four-dimensional data density on assimilation for a shallow-water model with the adjoint method: Preliminary results.Proceedings, Ninth AMS Conference on Numerical Weather Prediction, October 14–18, Denver, Colorado, Amer. Meteor. Soc., Boston, 183–185.

    Google Scholar 

  • Cotton, W. R., 1991: Numerical simulations of tornadic-producing storms and tornado vortices. Final Report to NOAA/ERL, Norman, OK, Contract #NA85RAH0545, Item 24, AMD 29, 15 pp. [Available from W. R. Cotton].

  • Cotton, W. R., Stephens, M. A., Nehrkorn, T., Tripoli, G. J., 1982: The Colorado State University three-dimensional cloud/mesoscale model—1982. Part II: An ice phase parameterization.J. de Rech. Atmos.,16, 295–320.

    Google Scholar 

  • Cotton, W. R., Tripoli, G. J., Rauber, R. M., Mulvihill, E. A., 1986: Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall.J. Climate Appl. Meteor.,25, 1658–1680.

    Google Scholar 

  • Courtier, P., Talagrand, O., 1990: Variational assimilation of meteorological observations with the direct and adjoint shallow-water equations.Tellus,42A, 531–549.

    Google Scholar 

  • Cram, J. M., 1990: Numerical simulation and analysis of the propagation of a prefrontal squall line. Ph.D. dissertation, Dept. of Atmospheric Science, Colorado State University, Ft. Collins, CO, 330 pp.

    Google Scholar 

  • Cram, J. M., Pielke, R. A., Cotton, W. R., 1992a: Numerical simulation and analysis of a prefrontal squall line. Part I: Observations and basic simulation results.J. Atmos. Sci.,49, 189–208.

    Google Scholar 

  • Cram, J. M., Pielke, R. A., Cotton, W. R., 1992b: Numerical simulation and analysis of a prefrontal squall line. Part II: Propagation of the squall line as an internal gravity wave.J. Atmos. Sci.,49, 209–228.

    Google Scholar 

  • Dalu, G. A., Baldi, M., Pielke, R. A., Lee, T. J., Colacino, M., 1991 a: Mesoscale vertical velocities generated by stress changes in the boundary layer: Linear theory.Ann. Geophys. (in press).

  • Dalu, G. A., Pielke, R. A., Avissar, R., Kallos, G., Baldi, M., Guerrini, A., 1991b: Linear impact of thermal inhomogeneities on mesoscale atmospheric flow with zero synoptic wind.Ann. Geophys. 9, 641–647.

    Google Scholar 

  • Davies, H. C., 1983: Limitations of some common lateral boundary schemes used in regional NWP models.Mon. Wea. Rev.,111, 1002–1012.

    Google Scholar 

  • Deardorff, J. W., 1980: Stratocumulus-capped mixed layers derived from a three-dimensional model.Bound.-Layer Meteor.,18, 495–527.

    Google Scholar 

  • Draxler, R. R., 1987: Sensitivity of a trajectory model to the spatial and temporal resolution of the meteorological data during CAPTEX.J. Climate Appl. Meteor.,26, 1577–1588.

    Google Scholar 

  • Garratt, J. R., Brost, R. A., 1981: Radiative cooling effects within and above the nocturnal boundary layer.J. Atmos. Sci.,38, 2730–2746.

    Google Scholar 

  • Goodchild, M. F., Parks, B., Steyaert, L. T. (eds.) 1992:Integrating Geographic Information Systems and Environmental Modeling, Oxford Press (in press).

  • Grasso, L. D., 1992: Tornadogenesis. M.S. Thesis, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 102 pp.

    Google Scholar 

  • Hadfield, M. G., Cotton, W. R., Pielke, R. A., 1991: Largeeddy simulations of thermally-forced circulations in the convective boundary layer. Part I: A small-scale circulation with zero wind.Bound.-Layer Meteor.,57, 79–114.

    Google Scholar 

  • Heckman, S. T., 1991: Numerical simulation of cirrus clouds—FIRE case study and sensitivity analysis. M.S. Thesis (and Atmospheric Science Paper #483), Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, 132 pp.

    Google Scholar 

  • Herman, G., Goody, R., 1976: Formation and persistence of summertime arctic stratus clouds.J. Atmos. Sci.,33, 1537–1553.

    Google Scholar 

  • Jacobs, C. A., Pandolfo, J. P., Atwater, M. A., 1974: A description of a general three dimensional numerical simulation model of a coupled air-water and/or air-land boundary layer. IFYGL final report, CEM Report No. 5131-509a, The Center for the Environment and Man, Hartford, Connecticut.

    Google Scholar 

  • Klemp, J. B., Durran, D. R., 1983: An upper boundary condition permitting internal gravity wave radiation in numerical mesoscale models.Mon. Wea. Rev.,111, 430–444.

    Google Scholar 

  • Klemp, J. B., Lilly, D. K., 1978: Numerical simulation of hydrostatic mountain waves.J. Atmos. Sci.,35, 78–107.

    Google Scholar 

  • Klemp, J. B., Wilhelmson, R. B., 1978a: The simulation of three-dimensional convective storm dynamics.J. Atmos. Sci.,35, 1070–1096.

    Google Scholar 

  • Klemp, J. B., Wilhelmson, R. B., 1978b: Simulations of right-and left-moving storms produced through storm splitting.J. Atmos. Sci.,35, 1097–1110.

    Google Scholar 

  • Kondrat'yev, J., 1969:Radiation in the Atmosphere. New York: Academic Press, 912 pp.

    Google Scholar 

  • Lacis, A. A., Hansen, J., 1974: A parameterization for the absorption of solar radiation in earth's atmosphere.J. Atmos. Sci.,31, 118–133.

    Google Scholar 

  • Lee, T. J., 1992: The impact of vegetation on the atmospheric boundary layer and convective storms. Ph.D. Dissertation, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 137 pp.

    Google Scholar 

  • Lee, T. J., Pielke, R. A., 1992: Estimating the soil surface specific humidity.J. Appl. Meteor.,31, 480–484.

    Google Scholar 

  • Lee, T. J., Pielke, R. A., 1991: The impact of vegetation on severe convective storms.Proceedings, Ninth AMS Conference on Numerical Weather Prediction, October 14–18, Denver, Colorado, Amer. Meteor. Soc., Boston, 242–244.

    Google Scholar 

  • Lee, T. J., Pielke, R. A., Kessler, R. C., Weaver, J., 1989: Influence of cold pools down-stream of mountain barriers on down-slope winds and flushing.Mon. Wea. Rev.,117, 2041–2058.

    Google Scholar 

  • Lee, T. J., Pielke, R. A., Kittel, T. G. F., Weaver, J. F., 1992: Atmospheric modeling and its spatial representation of land surface characteristics. In: Goodchild, M. F., Parks, B., Steyaert, L. T. (eds.)Integrating Geographic Information Systems and Environmental Modeling. Oxford University Press (in press).

  • Lewis, J., Derber, J., 1985: The use of adjoint equations to solve a variational adjustment problem with advective constraints.Tellus,37A, 309–322.

    Google Scholar 

  • Louis, J. F., 1979: A parametric model of vertical eddy fluxes in the atmosphere.Bound.-Layer Meteor.,17, 187–202.

    Google Scholar 

  • Lyons, W. A., Pielke, R. A., Eastman, J. L., Moon, D. A., Keen, C. S., Lincoln, R. A., 1991a: Mesoscale numerical model evaluations of the meteorological factors associated with elevated ozone levels in the southern Lake Michigan region.Proc. Seventh AMS/AWMA Joint Conference on Applications of Air Pollution Meteorology, January 13–18, New Orleans, Amer. Meteor. Soc., Boston, 164–167.

    Google Scholar 

  • Lyons, W. A., Moon, D. A., Venne, M. G., Keen, C. S., Lincoln, N. R., Pielke, R. A., Cotton, W. R., Tremback, C. J., Walko, R. L., 1991b: Real-time forecasting of the impacts of accidental releases of radionuclides into complex coastal zone mesoscale regimes using the Advanced Regional Atmospheric Modeling System (ARAMS).Proc. Seventh Joint AMS/AWMA Conference on Applications of Air Pollution Meteorology, January 14–18, New Orleans, Amer. Meteor. Soc., Boston, 205–208.

    Google Scholar 

  • Lyons, W. A., Walko, R. L., Nicholls, M. E., Pielke, R. A., Cotton, W. R., Keen, C. S., Watson, A. I., 1992: Observational and numerical modeling investigations of Florida thunderstorms generated by multi-scale surface thermal forcing.Proc. Fifth AMS Conference on Mesoscale Processes, January 5–10, Atlanta, GA, Amer. Meteor. Soc., Boston, 85–90 pp.

    Google Scholar 

  • Mahrer, Y., Pielke, R. A., 1977: A numerical study of the airflow over irregular terrain.Beiträge zur Physik der Atmosphäre,50, 98–113.

    Google Scholar 

  • McCumber, M. D., 1980: A numerical simulation of the influence of heat and moisture fluxes upon mesoscale circulation. Ph.D. dissertation, Dept. of Environmental Science, University of Virginia, Charlottesville, Virginia, 225 pp.

    Google Scholar 

  • McCumber, M. C., Pielke, R. A., 1981: Simulation of the effects of surface fluxes of heat and moisture in a mesoscale numerical model. Part I: Soil layer.J. Geophys. Res.,86, 9929–9938.

    Google Scholar 

  • McDonald, J. E., 1960: Direct absorption of solar radiation by atmospheric water vapor.J. Meteor.,17, 319–328.

    Google Scholar 

  • McNider, R. T., 1981: Investigation of the impact of topographic circulations on the transport and dispersion of air pollutants. Ph.D. Dissertation, University of Virginia, Charlottesville, Virginia, 210 pp.

    Google Scholar 

  • McNider, R. T., Pielke, R. A., 1981: Diurnal boundary-layer development over sloping terrain.J. Atmos. Sci.,38, 2198–2212.

    Google Scholar 

  • McNider, R. T., Hanna, S. R., Pielke, R. A., 1980: Sub-grid scale plume dispersion in coarse resolution mesoscale models.Proc. Second Joint AMS/APCA Conference on Applications of Air Pollution Meteorology, March 24–27, New Orleans, Amer. Meteor. Soc., Boston, 424–429.

    Google Scholar 

  • McNider, R. T., Anderson, K. J., Pielke, R. A., 1982: Numerical simulation of plume impaction.Proc. Third Joint AMS/APCA Conference on Applications of Air Pollution Meteorology, January 12–15, San Antonio, Amer. Meteor. Soc., Boston, 126–129.

    Google Scholar 

  • McNider, R. T., Moran, M. D., Pielke, R. A., 1988: Influence of diurnal and inertial boundary layer oscillations on long-range dispersion.Atmos. Environ.,22, 2445–2462.

    Google Scholar 

  • Mellor, G. L., Yamada, T., 1982: Development of a turbulence closure model for geophysical fluid problems.Rev. Geophys. Space Phys.,20, 851–875.

    Google Scholar 

  • Meyers, M. P., Cotton, W. R., 1992: Evaluation of the potential for wintertime quantitative precipitation forecasting over mountainous terrain with an explicit cloud model. Part I: Two-dimensional sensitivity experiments.J. Appl. Meteor.,31, 26–50.

    Google Scholar 

  • Meyers, M. P., DeMott, P. J., Cotton, W. R., 1992: New primary ice nucleation parameterizations in an explicit cloud model.J. Appl. Meteor.,31, 708–721.

    Google Scholar 

  • Moeng, C.-H., Wyngaard, J. C., 1984: Statistics of conservative scalars in the convective boundary layer.J. Atmos. Sci.,41, 2052–2062.

    Google Scholar 

  • Moran, M. D., 1992: Numerical modeling of mesoscale atmospheric dispersion. Ph. D. dissertation, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 820 pp.

    Google Scholar 

  • Moran, M. D., Arritt, R. W., Segal, M., Pielke, R. A., 1986: Modification of regional-scale pollutant dispersion by terrain-forced mesoscale circulations.Transactions, APCA Second International Specialty Conference on the Meteorology of Acidic Deposition, March, 17–20, Albany, New York, Air Pollution Control Association, Pittsburgh, Pennsylvania, 136–157.

    Google Scholar 

  • Moran, M. D., Pielke, R. A., McNider, R. T., 1991: Temporal and spatial resolution requirements for regional-scale dispersion models. In: van Dop, H., Steyn, D. G. (eds.),Air Pollution Modeling and its Application VIII, New York: Plenum Press, 427–437.

    Google Scholar 

  • Nicholls, M. E., Johnson, R. H., Cotton, W. R., 1988: The sensitivity of two-dimensional simulations of tropical squall lines to environmental profiles.J. Atmos. Sci.,45, 3625–3649.

    Google Scholar 

  • Nicholls, M. E., Pielke, R. A., Cotton, W. R., 1991: A two-dimensional numerical investigation of the interaction between sea-breezes and deep convection over the Florida peninsula.Mon. Wea. Rev.,119, 298–323.

    Google Scholar 

  • Orlanski, I., 1976: A simple boundary condition for unbounded hyperbolic flows.J. Comput. Phys.,21, 251–269.

    Google Scholar 

  • Perkey, D. J., Kreitzberg, C. W., 1976: A time-dependent lateral boundary scheme for limited-area primitive equation models.Mon. Wea. Rev.,104, 744–755.

    Google Scholar 

  • Pielke, R. A., 1984: Mesoscale Meteorological Modeling. New York, N. Y.: Academic Press, 612 pp.

    Google Scholar 

  • Pielke, R. A., Arritt, R. W., 1984: A proposal to standardize models.Bull. Amer. Meteor. Soc.,65, 1082.

    Google Scholar 

  • Pielke, R. A., Zeng, X., 1989: Influence on severe storm development of irrigated land.Natl. Wea. Dig.,14, 16–17.

    Google Scholar 

  • Pielke, R. A., McNider, R. T., Segal, M., Mahrer, Y., 1983: The use of a mesoscale numerical model for evaluations of pollutant transport and diffusion in coastal regions and over irregular terrain.Bull. Amer. Meteor. Soc.,64, 243–249.

    Google Scholar 

  • Pielke, R. A., Arritt, R. W., Segal, M., Moran, M. D., McNider, R. T., 1987a: Mesoscale numerical modeling of pollutant transport in complex terrin.Bound.-Layer Meteor.,41, 59–74.

    Google Scholar 

  • Pielke, R. A., Moran, M. D., Segal, M., Wesley, D. A., McKee, T. B., 1987b: Opportunities for nowcasting air pollution episodes and accidental toxic and radioactive releases.Proc. IUGG Symposium on Mesoscale Analysis and Forecasting, Incorporating Nowcasting, August 17–19, Vancouver, British Columbia, Canada, International Union of Geodesy and Geophysics, Geneva, 463–470.

    Google Scholar 

  • Pielke, R. A., Lee, T. J., Weaver, J., Kittel, T. G. F., 1990: Influence of vegetation on the water and heat distribution over mesoscale sized areas.Preprints, 8th AMS Conference on Hydrometeorology, October 22–26, Kananaskis Provincial Park, Alberta, Canada, Amer. Meteor. Soc., Boston, 46–49.

    Google Scholar 

  • Pielke, R. A., Dalu, G., Snook, J. S., Lee, T. J., Kittel, T. G. F., 1991a: Nonlinear influence of mesoscale landuse on weather and climate.J. Climate,4, 1053–1069.

    Google Scholar 

  • Pielke, R. A., Lyons, W. A., McNider, R. T., Moran, M. D., Moon, D. A., Stocker, R. A., Walko, R. L., Uliasz, M., 1991b: Regional and mesoscale meteorological modeling as applied to air quality studies. In: van Dop, H., Steyn, D. G. (eds.),Air Pollution Modeling and its Application VIII, New York: Plenum Press, 259–289.

    Google Scholar 

  • Pielke, R. A., Schimel, D. S., Lee, T. J., Kittel, T. G. F., Zeng, X., 1992: Atmosphere-terrestrial ecosystem interactions: Implications for coupled modeling.Ecological Modelling (in press).

  • Rasmussen, R. M., Politovich, M. K., 1990: WISP Scientific Overview. NCAR publication available from authors, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307.

  • Rodgers, C. D., 1967: The use of emissivity in atmospheric radiation calculations.Quart. J. Roy. Meteor. Soc.,93, 43–54.

    Google Scholar 

  • Sasamori, T., 1972: A linear harmonic analysis of atmospheric motion with radiative dissipation.J. Meteor. Soc. Japan,50, 505–518.

    Google Scholar 

  • Schmidt, J. M., 1991: Numerical and observational investigations of long-lived, MCS-induced, severe surface wind events: The derecho. Ph.D. Dissertation, Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, 196 pp.

    Google Scholar 

  • Schmidt, J. M., Cotton, W. R., 1990: Interactions between upper and lower tropospheric gravity waves on squall line structure and maintenance.J. Atmos. Sci.,47, 1205–1222.

    Google Scholar 

  • Segal, M., Avissar, R., McCumber, M. C., Pielke, R. A., 1988a: Evaluation of vegetation effects on the generation and modification of mesoscale circulations.J. Atmos. Sci.,45, 2268–2292.

    Google Scholar 

  • Segal, M., Yu, C.-H., Arritt, R. W., Pielke, R. A., 1988b: On the impact of valley/ridge thermally induced circulations on regional pollutant transport.Atmos. Environ.,22, 471–486.

    Google Scholar 

  • Segal, M., Pielke, R. A., Arritt, R. W., Moran, M. D., Yu. C.-H., Henderson, D., 1988c: Application of a mesoscale atmospheric dispersion modeling system to the estimation of SO2 concentrations from major elevated sources in southern Florida.Atmos. Environ.,22, 1319–1334.

    Google Scholar 

  • Segal, M., Yu, C.-H., Pielke, R. A., 1988d: Model evaluation of the impact of thermally-induced valley circulations in the Lake Powell area on long-range pollutant transport.J. Air Poll. Control Assoc.,38, 163–170.

    Google Scholar 

  • Stauffer, D. R., Seaman, N. L., 1990: Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data.Mon. Wea. Rev.,118, 1250–1277.

    Google Scholar 

  • Stephens, G. L., 1977: The transfer of radiation in cloudy atmosphere. Ph.D. dissertation. Meteorology Department, University of Melbourne, Australia, 396 pp.

    Google Scholar 

  • Stephens, G. L., 1977: Radiation profiles in extended water clouds. Theory.J. Atmos. Sci.,35, 2111–2122.

    Google Scholar 

  • Talagrand, O., Courtier, P., 1987: Variational assimilation of meteorological observations with the adjoint vorticity equation—Part I. Theory.Quart. J. Roy. Meteor. Soc.,113, 1311–1328.

    Google Scholar 

  • Taylor, G., 1991: Data assimilation and the adjoint method: An overview. CIRA-USARO Rep. No. 0737-5352-22, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, 13 pp.

    Google Scholar 

  • Thacker, W., Long, R., 1988: Fitting dynamics to data.J. Geophys. Res.,93, 1227–1240.

    Google Scholar 

  • Tremback, C. J., 1990: Numerical simulation of a mesoscale convective complex: model development and numerical results. Ph.D. dissertation, Atmos. Sci. Paper, No. 465, Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, 247 pp.

    Google Scholar 

  • Tremback, C. J., Kessler, R., 1985: A surface temperature and moisture parameterization for use in mesoscale numerical models.Preprints, 7th AMS Conference on Numerical Weather Prediction, June 17–20, Montreal, Quebec, Canada, Amer. Meteor. Soc., Boston, 355–358.

    Google Scholar 

  • Tremback, C. J., Tripoli, G. J., Cotton, W. R., 1985: A regional scale atmospheric numerical model including explicit moist physics and a hydrostatic time-split scheme.Preprints, 7th AMS Conference on Numerical Weather Prediction, June 17–20, Montreal, Quebec, Canada, Amer. Meteor. Soc., Boston, 433–434.

    Google Scholar 

  • Tremback, C. J., Powell, J., Cotton, W. R., Pielke, R. A., 1987: The forward-in-time upstream advection scheme: Extension to higher orders.Mon. Wea. Rev.,115, 540–555.

    Google Scholar 

  • Tripoli, G. J., Cotton, W. R., 1980: A numerical investigation of several factors contributing to the observed variable intensity of deep convection over south Florida.J. Appl. Meteor.,19, 1037–1063.

    Google Scholar 

  • Tripoli, G. J., Cotton, W. R., 1982: The Colorado State University three-dimensional cloud/mesoscale model—1982. Part I: General theoretical framework and sensitivity experiments.J. de Rech. Atmos.,16, 185–220.

    Google Scholar 

  • Tripoli, G. J., Cotton, W. R., 1986: An intense, quasi-steady thunderstorm over mountainous terrain Part IV: Three-dimensional numerical simulation.J. Atmos. Sci.,43, 896–914.

    Google Scholar 

  • Tripoli, G., Cotton, W. R., 1989a: A numerical study of an observed orogenic mesoscale convective system. Part 1: Simulated genesis and comparison with observations.Mon. Wea. Rev.,117, 273–304.

    Google Scholar 

  • Tripoli, G., Cotton, W. R., 1989b: A numerical study of an observed orogenic mesoscale convective system. Part 2: Analysis of governing dynamics.Mon. Wea. Rev.,117, 305–328.

    Google Scholar 

  • Uliasz, M., 1993: Atmospheric mesoscale dispersion modeling system-MDMS.J. Appl. Meteor. (in press).

  • Venkatram, A., Karamchandani, P. K., Misra, P. K., 1988: Testing a comprehensive acid deposition model.Atmos. Environ.,22, 737–747.

    Google Scholar 

  • Verlinde, J., 1992: Fitting microphysical observations to a numerical model through an optimal control theory techniqe. Ph. D. dissertation (and Atmospheric Science Paper No. 493), Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado 80523, 83 pp.

    Google Scholar 

  • Walko, R. L., Tremback, C. J., 1991: RAMS—The Regional Atmospheric Modeling System Version 2C: User's guide. Published by ASTeR, Inc., P.O. Box 466, Fort Collins, Colorado, 86 pp.

    Google Scholar 

  • Walko, R. L., Tremback, C. J., Cotton, W. R., 1989: Assimilation of Doppler radar wind data into a numerical prediction model: A demonstration of certain hazards.Preprints, 24th AMS Conference on Radar Meteorology, March 27–31, Tallahassee, Florida, Amer. Meteor. Soc., Boston, 248–250 pp.

    Google Scholar 

  • Walko, R. L., Cotton, W. R., Pielke, R. A., 1992: Large eddy simulation of the effects of hilly terrain on the convective boundary layer.Bound.-Layer Meteor.,58, 133–150.

    Google Scholar 

  • Wang, W., Warner, T. T., 1988: Use of four-dimensional data assimilation by Newtonian relaxation and latent-heat forcing to improve a mesoscale-model precipitation forecast: A case study.Mon. Wea. Rev.,116, 2593–2613.

    Google Scholar 

  • Weissbluth, M. J., 1991: Convective parameterization in mesoscale models. Ph.D. Dissertation, Department of Atmospheric Science, Colorado State University, Fort Collins, 211 pp.

    Google Scholar 

  • Wesley, D. A., 1991: An investigation of the effects of topography on Colorado Front Range winter storms. Ph.D. Dissertation, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 197 pp.

    Google Scholar 

  • Wesley, D. A., Pielke, R. A., 1990: Observations of blocking-induced convergence zones and effects on precipitation in complex terrain.Atmos. Res.,25, 235–276.

    Google Scholar 

  • Wesley, D. A., Weaver, J. F., Pielke, R. A., 1990: Heavy snow-fall during an extreme arctic outbreak along the Colorado Front Range.Natl. Wea. Dig.,15, 2–19.

    Google Scholar 

  • Xian, Z., Pielke, R. A., 1991: The effects of width of land masses on the development of sea breezes.J. Appl. Meteor.,30, 1280–1304.

    Google Scholar 

  • Yamamoto, G., 1962: Direct absorption of solar radiation by atmospheric water vapor carbon dioxide and molecular oxygen.J. Atmos. Sci.,19, 182–188.

    Google Scholar 

  • Yu. C.-H., Pielke, R. A., 1986: Mesoscale air quality under stagnant synoptic cold season conditions in the Lake Powell area.Atmos. Environ.,20, 1751–1762.

    Google Scholar 

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Author notes

  1. R. A. Pielke, W. R. Cotton, R. L. Walko, C. J. Tremback, W. A. Lyons, L. D. Grasso, M. E. Nicholls, M. D. Moran, D. A. Wesley, T. J. Lee & J. H. Copeland

    Present address: Department of Atmospheric Science, Colorado State University, 80523, Fort Collins, CO, USA

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    1. R. A. Pielke
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    2. W. R. Cotton
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    3. R. L. Walko
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    4. C. J. Tremback
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    5. W. A. Lyons
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    6. L. D. Grasso
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    7. M. E. Nicholls
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    Pielke, R.A., Cotton, W.R., Walko, R.L. et al. A comprehensive meteorological modeling system—RAMS. Meteorl. Atmos. Phys. 49, 69–91 (1992). https://doi.org/10.1007/BF01025401

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