NWP Numerical Weather Prediction OSU Oregon State <strong>University</strong> PBL Planetary Boundary Layer PPM Piecewise Parabolic Method QNM Quasi Newton Method RHS Right Hand Side RRTM Rapid Radiative Transfer Model RUC Rapid Update Cycle SI (<strong>WRF</strong>) Standard Initialization TKE Turbulent Kinetic Energy UCAR <strong>University</strong> Corporation for Atmospheric <strong>Research</strong> YSU Yonsei <strong>University</strong> (Korea) VAR Variational Assimilation <strong>WRF</strong> Weather <strong>Research</strong> and Forecasting Model WSF <strong>WRF</strong> Software Framework 82
Bibliography Barker, D. M., W. Huang, Y.-R. Guo, and A. Bourgeois, 2003: A Three-Dimensional Variational (3DVAR) Data Assimilation System For Use With MM5. NCAR Tech <strong>Note</strong>, NCAR/TN- 453+STR, 68 pp. [Available from UCAR Communications, P.O. Box 3000, Boulder, CO, 80307.]. Barker, D. M., W. Huang, Y.-R. Guo, A. Bourgeois, and X. N. Xiao, 2004: A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results Mon. Wea. Rev., 132, 897–914. Beljaars, A.C.M., 1994: The parameterization of surface fluxes in large-scale models under free convection, Quart. J. Roy. Meteor. Soc., 121, 255–270. Betts, A. K., 1986: A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. Roy. Meteor. Soc., 112, 677–691. Betts, A. K., and M. J. Miller, 1986: A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, and arctic air-mass data sets. Quart. J. Roy. Meteor. Soc., 112, 693–709. Carpenter, R. L., K. K. Droegemeier, P. R. Woodward, and C. E. Hane, 1990: Application of the Piecewise Parabolic Method (PPM) to meteorological modeling. Mon. Wea. Rev., 118, 586–612. Chen, F., and J. Dudhia, 2001: Coupling an advanced land-surface/ hydrology model with the Penn State/ NCAR MM5 modeling system. Part I: Model description and implementation. Mon. Wea. Rev., 129, 569–585. Chen, S.-H., and W.-Y. Sun, 2002: A one-dimensional time dependent cloud model. J. Meteor. Soc. Japan, 80, 99–118. Chou M.-D., and M. J. Suarez, 1994: An efficient thermal infrared radiation parameterization for use in general circulation models. NASA Tech. Memo. 104606, 3, 85pp. Cooper, W. A., 1986: Ice initiation in natural clouds. Precipitation Enhancement — A Scientific Challenge, Meteor. Monogr., No. 43, Amer. Met. Soc., 29–32. Daley, R., and E. Barker, 2001: NAVDAS: Formulation and Diagnostics. Mon. Wea. Rev., 129, 869–883. 83
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NCAR/TN-468+STR NCAR TECHNICAL NOTE
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Contents Acknowledgments ix 1 Intro
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8.4.3 Rapid Update Cycle (RUC) Mode
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9.2 Sketch of the role of Stage 0 c
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viii
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Chapter 1 Introduction The developm
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1.2 Major Features of the ARW Syste
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Chapter 2 Governing Equations The A
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2.3 Inclusion of Moisture In formul
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the earth. In this formulation we h
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Chapter 3 Model Discretization 3.1
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and lead to the acoustic time-step
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forward step, i.e., step (1) in Fig
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{ Δy y u i-1/2,j+1 u i-1/2,j v i,j
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In the current version of the ARW,
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for Cr > 0, and (U t q) i+ 1 2 = U
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Chapter 4 Turbulent Mixing and Mode
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Symmetry sets the remaining tensor
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If ∆x is less than the user-speci
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4.2 Filters for the Time-split RK3
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