An immersed boundary method enabling large-eddy simulations of flow over complex terrain in the wrf model

Monthly Weather Review

Volumn 140, Issue 12, 2012, Pages 3936-3955

  Lundquist, Katherine A ^a   Chow, Fotini katopodes ^b   Lundquist, Julie K ^c  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Boundary conditions; Grid systems; Large eddy simulations; Model evaluation performance; Numerical weather prediction forecasting; Urban meteorology

Indexed keywords

BILINEAR INTERPOLATION; BODY FITTED COORDINATES; COMPLEX TERRAINS; COMPUTATIONAL FLUID DYNAMICS CODES; FIELD CAMPAIGN; FINITE ELEMENT MODELS; FLAT TERRAINS; GRID SYSTEMS; IMMERSED BOUNDARY METHODS; INTENSIVE OBSERVATION PERIODS; INVERSE DISTANCE WEIGHTING; JOINT URBAN 2003; MODEL EVALUATION; MODEL PREDICTION; NUMERICAL WEATHER PREDICTION; OKLAHOMA; OKLAHOMA CITY; OUTER DOMAIN; PASSIVE SCALARS; PERFORMANCE METRICES; SONIC ANEMOMETER; TRILINEAR INTERPOLATION; URBAN METEOROLOGY; URBAN TERRAIN; VELOCITY PREDICTION; WEATHER RESEARCH AND FORECASTING MODELS; WRF MODEL;

ALGORITHMS; BOUNDARY CONDITIONS; COMPUTATIONAL FLUID DYNAMICS; FINITE ELEMENT METHOD; INTERPOLATION; LANDFORMS; LARGE EDDY SIMULATION; THREE DIMENSIONAL COMPUTER GRAPHICS; WEATHER FORECASTING;

THREE DIMENSIONAL;

ALGORITHM; BOUNDARY CONDITION; COMPLEX TERRAIN; FINITE ELEMENT METHOD; FLOW FIELD; INTERPOLATION; LARGE EDDY SIMULATION; TURBULENT FLOW; URBAN AREA; URBAN ATMOSPHERE; WEATHER FORECASTING;

OKLAHOMA [OKLAHOMA (STT)]; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 84871857376     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00311.1     Document Type: Article

References (38)

1. Adcroft, A., C. Hill, and J. Marshall, 1997: Representation of topography by shaved cells in a height coordinate ocean model. Mon. Wea. Rev., 125, 2293-2315.
2. Allwine, K., and J. Flaherty, 2006: Joint urban 2003: Study overview and instrument locations. Tech. Rep. PNNL-15967, Pacific Northwest National Laboratory, Richland, WA, 92 pp.
3. Balaras, E., 2004: Modeling complex boundaries using an external force field on fixed Cartesian grid in large-eddy simulations. Comput. Fluids, 33, 375-404.
4. Burrows, D., E. Hendricks, S. Diehl, and R. Keith, 2007: Modeling turbulent flow in an urban central business district. J. Appl. Meteor. Climatol., 46, 2147-2164.
5. Calhoun, R., F. Gouveia, J. Shinn, S. Chan, D. Stevens, R. Lee, and J. Leone, 2004: Flow around a complex building: Comparisons between experiments and a Reynolds-averaged Navier- Stokes approach. J. Appl. Meteor., 43, 696-710.
6. Chan, S., and M. Leach, 2007: A validation of FEM3MP with Joint Urban 2003 data. J. Appl. Meteor. Climatol., 46, 2127-2146.
7. Chang, J., and S. Hanna, 2004: Air quality model performance evaluation. Meteor. Atmos. Phys., 87, 167-196.
8. Franke, R., 1982: Scattered data interpolation: Tests of some methods. Math. Comput., 38, 181-200.
9. Gao, T., Y. Tseng, and X. Lu, 2007: An improved hybrid Cartesian/ immersed boundary method for fluid-solid flows. Int. J. Numer. Methods Fluids, 55, 1189-1211.
10. Ghias, R., R. Mittal, and H. Dong, 2007: A sharp interface immersed boundary method for compressible viscous flows. J. Comput. Phys., 225, 528-553.
11. Golaz, J.-C., J. D. Doyle, and S. Wang, 2009: One-way nested largeeddy simulation over the Askervein Hill. J. Adv. Model. Earth Syst., 1 (6), 1-6.
12. Gowardhan, A., E. Pardyjak, I. Senocak, and M. Brown, 2011: A CFD-based wind solver for an urban fastresponse transport and dispersion model. Environ. Fluid Mech., 11, 439-464.
13. Gresho, P., and S. Chan, 1998: Projection 2 goes turbulent and fully implicit. J. Comput. Fluid Dyn., 9, 249-272.
14. Hanna, S., O. Hansen, and S. Dharmavaram, 2004: FLACS CFD air quality model performance evaluation with Kit Fox, MUST, Prairie Grass, and EMU observations. Atmos. Environ., 38, 4675-4687.
15. Hanna, S., O. and Coauthors, 2011: Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models. Atmos. Environ., 45, 4073-4081.
16. Iaccarino, G., and R. Verzicco, 2003: Immersed boundary technique for turbulent flow simulations. Appl. Mech. Rev., 56, 331-347.
17. Janjić, Z., 1977: Pressure gradient force and advection scheme used for forecasting with steep and small scale topography. Beitr. Phys. Atmos., 50, 186-189.
18. Klein, P., and D. Young, 2011: Concentration fluctuations in a downtown urban area. Part I: Analysis of Joint Urban 2003 full-scale fast-response measurements. Environ. Fluid Mech., 11, 23-42.
19. Klemp, J., W. Skamarock, and O. Fuhrer, 2003: Numerical consistency of metric terms in terrain-following coordinates. Mon. Wea. Rev., 131, 1229-1239.
20. Lock, S., H. Bitzer, A. Coals, A. Gadian, and S. Mobbs, 2012: Demonstration of a cut-cell representation of 3D orography for studies of atmospheric flows over very steep hills. Mon. Wea. Rev., 140, 411-424.
21. Lundquist, J., and S. Chan, 2007: Consequences of urban stability for computational fluid dynamics simulations of urban dispersion. J. Appl. Meteor. Climatol., 46, 1080-1097.
22. Lundquist, K., 2010: Immersed boundarymethods for high-resolution simulation of atmospheric boundary-layer flow over complex terrain. Ph.D. thesis, University of California, Berkeley, Berkeley, CA, 159 pp.
23. Lundquist, K., F. Chow, and J. Lundquist, 2010a: An immersed boundary method for the Weather Research and Forecasting model. Mon. Wea. Rev., 138, 796-817.
24. Lundquist, K., F. Chow, and J. Lundquist, 2010b: Numerical errors in flow over steep topography: Analysis and alternatives. Preprints, 14th Conf. on Mountain Meteorology, Lake Tahoe, CA, Amer. Meteor. Soc., 10.1. [Available online at https://ams.confex.com/ams/14MountMet/techprogram/paper_173801.htm.]
25. Mahrer, Y., 1984: An improved numerical approximation of the horizontal gradients in a terrain-following coordinate system. Mon. Wea. Rev., 112, 918-922.
26. Mittal, R., and G. Iaccarino, 2005: Immersed boundary methods. Annu. Rev. Fluid Mech., 37, 239-261.
27. Mittal, R.,H. Dong, M. Bozkurttas, F. Najjar, A. Vargas, and A. von Loebbecke, 2008: A versatile sharp interface immersed boundary method for incompressible flows with complex boundaries. J. Comput. Phys., 227, 4825-4852.
28. Mohd-Yusof, J., 1997: Combined immersed boundary/b-spline methods for simulations of flow in complex geometry. Tech. Rep., Annual Research Briefs, Center for Turbulence Research, NASA Ames/Stanford University, Palo Alto, CA, 317-327.
29. Peller, N., A. L. Duc, F. Tremblay, and M. Manhart, 2006: Highorder stable interpolations for immersed boundary methods. Int. J. Numer. Methods Fluids, 52, 1175-1193.
30. Pullen, J., J. Boris, T. Young, G. Patnaik, and J. Iselin, 2005: A comparison of contaminant plume statistics from a Gaussian puff and urban CFD model for two large cities. Atmos. Environ., 39, 1049-1068.
31. Schä r, C., D. Leuenberger, O. Fuhrer, D. Lüthi, and C. Girard, 2002: A new terrain-following vertical coordinate formulation for atmospheric prediction models. Mon. Wea. Rev., 130, 2459-2480.
32. Trini-Castelli, S., and T. Reisin, 2010: Evaluation of the atmospheric RAMS model in an obstacle resolving configuration. Environ. Fluid Mech., 10, 555-576, doi:10.1007/s10652-010-9167-Y.
33. Tseng, Y., and J. Ferziger, 2003: A ghost-cell immersed boundary method for flow in complex geometry. J. Comput. Phys., 192, 593-623.
34. Walko, R., and R. Avissar, 2008: The Ocean-Land-Atmosphere Model (OLAM). Part II: Formulation and tests of the nonhydrostatic dynamic core. Mon. Wea. Rev., 136, 4045-4062.
35. Warner, S., N. Platt, J. Urban, and J. Heagy, 2008: Comparisons of transport and dispersion model predictions of the Joint Urban 2003 field experiment. J. Appl. Meteor. Climatol., 47, 1910-1928.
36. Zängl, G., 2002: An improved method for computing horizontal diffusion in a sigma-coordinatemodel and its application to simulations over mountainous topography. Mon. Wea. Rev., 130, 1423-1432.
37. Zängl, G. 2003: A generalized sigma-coordinate system for the MM5. Mon. Wea. Rev., 131, 2875-2884.
38. Zängl, G., L. Gantner, G. Hartjenstein, and H. Noppel, 2004: Numerical errors above steep topography: A model intercomparison. Meteor. Z., 13, 69-76.