The impact of the land surface physics in the operational NCEP eta model on simulating the diurnal cycle: Evaluation and testing using oklahoma mesonet data

Weather and Forecasting

Volumn 18, Issue 5, 2003, Pages 748-768

  Marshall, Curtis H ^a   Crawford, Kenneth C ^a   Mitchell, Kenneth E ^b   Stensrud, David J ^c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL ENGINEERING; HEAT FLUX; MATHEMATICAL MODELS; MOISTURE; SOILS; SURFACE ROUGHNESS; THERMAL CONDUCTIVITY; TURBULENT FLOW;

LAND SURFACE PARAMETERIZATION; SURFACE FLUXES; TURBULENT FLUXES;

WEATHER FORECASTING;

BOUNDARY LAYER; ENERGY BUDGET; HEAT FLUX; LAND SURFACE; WEATHER FORECASTING;

UNITED STATES;

EID: 0344036159     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2003)018<0748:TIOTLS>2.0.CO;2     Document Type: Article

References (48)

1. Arya, L. M., and J. F. Paris, 1981: A physioempirical model to predict the soil moisture characteristic from particle-size distribution and bulk density data. Soil Sci. Soc. Amer. J., 45, 1023-1030.
2. Arya, S. P., 1988: Introduction to Micrometeorology. Academic Press, 307 pp.
3. Basara, J. B., 2001: The value of point-scale measurements of soil moisture in planetary boundary layer simulations. Ph.D. dissertation, University of Oklahoma, 225 pp. [Available from School of Meteorology, 100 E. Boyd, Suite 1310, Norman, OK 73019-1012.]
4. Betts, A. K., 1974: Reply to comment on the paper "Non-precipitating cumulus convection and its parameterization." Quart. J. Roy. Meteor. Soc., 100, 464-471.
5. Betts, A. K., and M. T. Miller, 1986: A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. Roy. Meteor. Soc., 112, 677-691.
6. Betts, A. K., F. Chen, K. Mitchell, and Z. I. Janjíc, 1997: Assessment of the land surface and boundary layer models in two operational versions of the NCEP Eta Model using FIFE data. Mon. Wea. Rev., 125, 2896-2916.
7. Black, T. L., 1994: The new NMC mesoscale Eta Model: Description and forecast examples. Wea. Forecasting, 9, 265-278.
8. Bowen, I. S., 1926: The ratio of heat losses by conduction and by evaporation from any water surface. Phys. Rev., 27, 779-787.
9. Brock, F. V., K. C. Crawford, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A technical overview. J. Atmos. Oceanic. Technol., 12, 5-19.
10. Brotzge J. A., 2000: Closure of the surface energy budget. Ph.D. dissertation, University of Oklahoma, 208 pp. [Available from School of Meteorology, 100 E. Boyd, Suite 1310, Norman, OK 73019-1012.]
11. Brotzge, J. A., and D. Weber, 2002: Land-surface validation using the Oklahoma Atmospheric Surface Layer Instrumentation System (OASIS) and Oklahoma Mesonet data: Preliminary results. Meteor. Atmos. Phys., 80, 189-206.
12. Chen, F., and Coauthors, 1996: Modeling of land surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res., 101, 7251-7268.
13. Chen, F., and Z. Janjíc, and K. Mitchell, 1997: Impact of atmospheric surface-layer parameterization in the new land-surface scheme of the NCEP mesoscale Eta Model. Bound.-Layer Meteor., 85, 391-421.
14. Cosby, B. J., G. M. Hornberger, R. B. Clapp, and T. R. Ginn, 1984: A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour. Res., 20, 682-690.
15. Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, 2003: Implementation of Noah land-surface model advances in the NCEP operational mesoscale Eta model. J. Geophys. Res., in press.
16. Gutman, G., and A. Ignatov, 1998: The derivation of green vegetation fraction from NOAA/AVHRR for use in numerical weather prediction models. Int. J. Remote Sens., 19, 1533-1543.
17. Haliwell, D. H., and W. R. Rouse, 1989: A comparison of sensible and latent heat flux calculations using the Bowen Ratio and aerodynamic methods. J. Atmos. Oceanic Technol., 6, 563-574.
18. Hanks, R. J., and G. L. Ashcroft, 1986: Applied Soil Physics. Springer-Verlag, 159 pp.
19. Jacquemin, B., and J. Noilhan, 1990: Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY dataset. Bound.-Layer Meteor., 52, 93-134.
20. Janjíc, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945.
21. Johnson, H. L., and C. E. Duchon, 1995: Atlas of Oklahoma Climate. University of Oklahoma Press, 118 pp.
22. Kanamitsu, M., and Coauthors, 1991: Recent changes implemented into the global forecast system at NMC. Wea. Forecasting, 6, 425-435.
23. Kim, J., and S. B. Verma, 1990: Components of surface energy balance in a temperature grassland ecosystem. Bound.-Layer Meteor., 51, 401-417.
24. Lobocki, L., 1993: A procedure for the derivation of surface-layer bulk relationships from simplified second-order closure models. J. Appl. Meteor., 32, 126-138.
25. Mahrt, L., and K. Ek, 1984: The influence of atmospheric stability on potential evaporation. J. Climate Appl. Meteor., 23, 222-234.
26. Mahrt, L., and H.-L. Pan, 1984: A two-layer model of soil hydrology. Bound.-Layer Meteor., 29, 1-20.
27. Markowski, P. M., and D. J. Stensrud, 1998: Mean monthly diurnal cycles observed with PRESTORM surface data. J. Climate, 11, 2995-3009.
28. Marshall, C. H., K. C. Crawford, and J. A. Brotzge, 1998: A comparison of the Bowen ratio and aerodynamic methods to Oklahoma Mesonet estimate of surface latent flux. Preprints, 10th Symp. on Meteorological Observations and Instrumentation, Phoenix, AZ, Amer. Meteor. Soc., 323-328.
29. McCumber, M. C., and R. A. Pielke, 1981: Simulation of the effects of surface fluxes of heat and moisture in a mesoscale numerical model. J. Geophys. Res., 86 (C10), 9929-9938.
30. Mellor, G. L., and T. Yamada, 1974: A hierarchy of turbulence closure models for planetary boundary layers. J. Atmos. Sci., 31, 1791-1806.
31. Mesinger, F., 1984: A blocking technique for representation of mountains in atmospheric models. Riv. Meteor. Aeronaut., 44, 195-202.
32. Mitchell, K. E., and Coauthors, 2003: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., in press.
33. Monin, A. S., and A. M. Obukhov, 1954: Basic laws of turbulent mixing in the atmosphere near the ground. Tr. Akad. Nauk SSSR Geoph. Inst., 24, 1963-1987.
34. Noilhan, J., and S. Planton, 1989: A simple parameterization of land surface processes for meteorological models. Mon. Wea. Rev., 117, 536-549.
35. Oke, T. R., 1978: Boundary Layer Climates. Cambridge University Press, 435 pp.
36. Pan, H.-L., and L. Mahrt, 1987: Interaction between soil hydrology and boundary-layer development. Bound.-Layer Meteor., 38, 185-202.
37. 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.
38. Peters-Lidard, C. D., E. Blackburn, X. Liang, and E. F. Wood, 1998: The effect of soil thermal conductivity parameterization on surface energy fluxes and temperatures. J. Atmos. Sci., 55, 1209-1224.
39. Pielke, R. A., G. A. Dalu, 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, 1053-1069.
40. Robock, A., and Coauthors, 2003: Validation of North American Land Data Assimilation Systems retrospective forcing over the southern Great Plains. J. Geophys. Res., in press.
41. Rogers, E., T. L. Black, D. G. Deaven, G. J. DiMego, Q. Zhao, M. E. Baldwin, N. W. Junker, and Y. Lin, 1996: Changes to the operational early Eta analysis/forecast system at the National Centers for Environmental Prediction. Wea. Forecasting, 11, 391-413.
42. Schaake, J. C., V. I. Koren, Q. Y. Duan, K. Mitchell, and F. Chen, 1996: Simple water balance model for estimating runoff at different spatial and temporal scales. J. Geophys. Res., 101, 7461-7475.
43. Schneider, J. M., D. K. Fisher, R. L. Elliott, G. O. Brown, and C. P. Bahrmann, 2003: Spotiotemporal variations in soil water: First results from the ARM SGP CART network. J. Hydrometeor., 4, 106-120.
44. Sorbjan, Z., 1989: Structure of the Atmospheric Boundary Layer. Prentice Hall, 317 pp.
45. Sun, J., and L. Mahrt, 1995: Determination of surface fluxes from the surface radiative temperature. J. Atmos. Sci., 52, 1096-1104.
46. Xue, Y., M. Fennessy, and P. Sellers, 1996: Impact of vegetation properties on U.S. summer weather prediction. J. Geophys. Res., 101, 7419-7430.
47. Zilitinkevich, S. S., 1995: Non-local turbulent transport: pollution dispersion aspects of coherent structure of convective flows. Air Pollution Theory and Simulation, Vol. 1, H. Power, N. Moussiopoulos, and C. A. Brebbia, Eds., Air Pollution III. Computational Mechanics Publications, 53-60.
48. Zobler, L., 1986: A world soil file for global climate modelling. NASA Tech. Memo. 87802, 33 pp. [Available from NASA Goddard Space Flight Center, Institute for Space Studies, 2800 Broadway, New York, NY 10025.]