Advanced Research WRF (ARW) Technical Note - MMM - University ...

More documents

Recommendations

Info

Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065–1092. Lin, S.-J., and R. B. Rood, 1996: Multidimensional flux-form semi-Lagrangian transport schemes. Mon. Wea. Rev., 124, 2046–2070. Lorenc, A. C., 1986: Analysis methods for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 112, 1177–1194. Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. Space Phys., 20, 851–875. Michalakes, J., J. Dudhia, D. Gill, J. Klemp, and W. Skamarock, 1999: Design of a nextgeneration regional weather research and forecast model, Towards Teracomputing, World Scientific, River Edge, New Jersey, 117–124. Michalakes, J., J. Dudhia, D. Gill, T. Henderson, J. Klemp, W. Skamarock, and W. Wang, 2004: The Weather <strong>Research</strong> and Forecast Model: Software Architecture and Performance. To appear in proceeding of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology. 25–29 October 2004, Reading, U.K., Ed. George Mozdzynski. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102 (D14), 16663–16682. Monin, A.S. and A.M. Obukhov, 1954: Basic laws of turbulent mixing in the surface layer of the atmosphere. Contrib. Geophys. Inst. Acad. Sci., USSR, (151), 163–187 (in Russian). Ooyama K. V., 1990: A thermodynamic foundation for modeling the moist atmosphere, J. Atmos. Sci., 47, 2580–2593. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center’s Spectral Statistical Interpolation analysis system. Mon. Wea. Rev., 120, 1747–1763. Paulson, C. A., 1970: The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteor., 9, 857–861. Purser, R. J., W. -S. Wu, D. F. Parrish, and N. M. Roberts, 2003: Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances. Mon. Wea. Rev., 131, 1524–1535. Rabier, F., H., J. N. Thepaut, and P. Courtier, 1998: Extended assimilation and forecast experiments with a four-dimensional variational assimilation system. Quart. J. Roy. Meteor. Soc., 124, 1861–1887. Reisner, J. R., R. M. Rasmussen, and R. T. Bruintjes, 1998: Explicit forecasting of supercooled liquid water in in winter storms using the MM5 mesoscale model. Quart. J. Roy. Meteor. Soc., 124, 1071–1107. 86
Roberts, R. E., J. E. A. Selby, and L. M. Biberman, 1976: Infrared continuum absorption by atmospheric water-vapor in 8–12 um window. Applied Optics, 15 (9), 2085–2090. Rodgers, C. D., 1968: Some extensions and applications of the new random model for molecular band transmission. Quart. J. Roy. Meteor. Soc., 94, 99–102. Rutledge, S. A., and P. V. Hobbs, 1984: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. XII: A diagnostic modeling study of precipitation development in narrow cloud-frontal rainbands. J. Atmos. Sci., 20, 2949–2972. Ryan, B. F., 1996: On the global variation of precipitating layer clouds. Bull. Amer. Meteor. Soc., 77, 53–70. Sasamori, T., J. London, and D. V. Hoyt, 1972: Radiation budget of the Southern Hemisphere. Meteor. Monogr., 13, No. 35, 9–23. Schwarzkopf, M. D., and S. B. Fels, 1985: Improvements to the algorithm for computing CO2 transmissivities and cooling rates. J. Geophys. Res., 90 (ND6), 541–550. Schwarzkopf, M. D., and S. B. Fels, 1991: The simplified exchange method revisited — An accurate, rapid method for computation of infrared cooling rates and fluxes. J. Geophys. Res., 96 (D5), 9075–9096. Skamarock W. C. and J. B. Klemp, 1992: The Stability of Time-Split Numerical Methods for the Hydrostatic and the Nonhydrostatic Elastic Equations, Mon. Wea. Rev.: 120, 2109–2127. Skamarock W. C., 2005: Timesplitting techniques for multidimensional transport, available at http://www.mmm.ucar.edu/individual/skamarock/advect3d 2005.pdf, 26 pp. Smirnova, T. G., J. M. Brown, and S. G. Benjamin, 1997: Performance of different soil model configurations in simulating ground surface temperature and surface fluxes. Mon. Wea. Rev., 125, 1870–1884. Smirnova, T. G., J. M. Brown, S. G. Benjamin, and D. Kim, 2000: Parameterization of coldseason processes in the MAPS land-surface scheme. J. Geophys. Res., 105 (D3), 4077–4086. Smolarkiewicz, P. K., and G. A. Grell, 1990: A class of monotone interpolation schemes, J. Comp. Phys., 101, 431–440. Stephens, G. L., 1978: Radiation profiles in extended water clouds. Part II: Parameterization schemes, J. Atmos. Sci., 35, 2123–2132. Tao, W.-K., J. Simpson, and M. McCumber 1989: An ice-water saturation adjustment, Mon. Wea. Rev., 117, 231–235. Thompson, G., R. M. Rasmussen, and K. Manning, 2004: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519–542. 87
Page 1 and 2:
NCAR/TN-468+STR NCAR TECHNICAL NOTE
Page 3 and 4:
Contents Acknowledgments ix 1 Intro
Page 5:
8.4.3 Rapid Update Cycle (RUC) Mode
Page 8 and 9:
9.2 Sketch of the role of Stage 0 c
Page 10 and 11:
viii
Page 13 and 14:
Chapter 1 Introduction The developm
Page 15 and 16:
1.2 Major Features of the ARW Syste
Page 17 and 18:
Chapter 2 Governing Equations The A
Page 19 and 20:
2.3 Inclusion of Moisture In formul
Page 21 and 22:
the earth. In this formulation we h
Page 23 and 24:
Chapter 3 Model Discretization 3.1
Page 25 and 26:
and lead to the acoustic time-step
Page 27 and 28:
forward step, i.e., step (1) in Fig
Page 29 and 30:
{ Δy y u i-1/2,j+1 u i-1/2,j v i,j
Page 31 and 32:
In the current version of the ARW,
Page 33 and 34:
for Cr > 0, and (U t q) i+ 1 2 = U
Page 35 and 36:
Chapter 4 Turbulent Mixing and Mode
Page 37 and 38:
Symmetry sets the remaining tensor
Page 39 and 40:
If ∆x is less than the user-speci
Page 41 and 42:
4.2 Filters for the Time-split RK3
Page 43:
where γr is a user specified dampi
Page 46 and 47:
exception of the baroclinic wave te
Page 48 and 49: STATIC DATA GRIB DATA SI SYSTEM GRI
Page 50 and 51: 5.2.3 Generating Lateral Boundary D
Page 52 and 53: a boundary on which the condition i
Page 54 and 55: On the coarse grid, the specified b
Page 56 and 57: 1-Way ARW WRF Simulation Two Consec
Page 58 and 59: V V V V U U U U U V V V V V V V
Page 60 and 61: V V V V U U U U U V V V V V V U
Page 62 and 63: coarse grid and fine grid is consis
Page 64 and 65: Table 8.1: Microphysics Options Sch
Page 66 and 67: and it is the water vapor and total
Page 68 and 69: 8.2.2 Betts-Miller-Janjic The Betts
Page 70 and 71: Table 8.3: Land Surface Options Sch
Page 72 and 73: Table 8.5: Radiation Options Scheme
Page 74 and 75: Table 8.6: Physics Interactions. Co
Page 77 and 78: Chapter 9 Variational Data Assimila
Page 79 and 80: supply the following: i) a default
Page 81 and 82: 9.2.4 First Guess at Appropriate Ti
Page 83 and 84: of its useful life. The development
Page 85 and 86: The second stage of gen be (gen be
Page 87: Appendix A Physical Constants The f
Page 90 and 91: Symbols Definition l0 minimum lengt
Page 92 and 93: Subscripts/Superscripts Definition
Page 94 and 95: NWP Numerical Weather Prediction OS
Page 96 and 97: Davies, H. C., and R. E. Turner, 19
Page 100: Walko, R. L., W. R. Cotton, M. P. M
show all

Advanced Research WRF (ARW) Technical Note - MMM - University ...

Create successful ePaper yourself

Delete template?

Save as template?