Relevance of sub-grid-scale land-use effects for mesoscale models

References

• Aralcawa, A. 1972. Design of the UCLA general circulation model. Numerical simulation of weather and climate. Tech. Report No. 7, Department of Meteorology, University of California Los Angeles, USA.
   Google Scholar
• Arola, A. 1999. Parametrisaton of turbulent and mesoscale fluxes for heterogeneous surfaces. J. Atmos. Sc i. 56, 584–598.
   Google Scholar
• Belair, S., Lacarrere R, Noilhan J., Masson V. and Stein J. 1998. High resolution simulation of surface turbulent fluxes during HAPEX-MOBILHY. Mon. Wea. Re v. 126, 2234–2253.
   Google Scholar
• Brutsaert, W. 1975. The roughness length for water vapor, sensible heat and other scalars. J. Atmos. Sc i. 32, 2028–2031.
   Google Scholar
• Charnock, H. 1955. Wind stress on a water surface. Q. J. R. Meteorol. Soc. 81, 639–640.
   Web of Science ®Google Scholar
• Claussen, M. 1991. Estimation of areally-averaged surface fluxes. Boundary-Layer Meteorol. 54, 387–410.
   Web of Science ®Google Scholar
• Cox, R., Bauer, B. L. and Smith, T. 1998. Mesoscale model intercomparison. Bull. Am. Meteorol. Soc. 79, 265–283.
   Web of Science ®Google Scholar
• Davies, H. C. 1976. A lateral boundary formulation for multilevel prediction models. Q. J. R. Meteorol. Soc. 102,405–418.
   Web of Science ®Google Scholar
• Deardorff, J. W. 1978. Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of veg-etation. J. Geophys. Res. 83, 1889–1903.
   Web of Science ®Google Scholar
• Freie Universität Berlin Institut fiir Meteorologie 1994. Berliner Wetterlcarte im Jahre 1994. Meterologische Ab-handlungen, Neue Folge, Serie B, Grundlagenmaterial; 71-7, Verlag Dietrich Reimer, Berlin.
   Google Scholar
• Katzfey, J. J. 1995. Simulation of extreme New Zealand precipitation events. Part 1: Sensitivity to orography and res-olution. Mon. Wea. Re v. 123, 737–754.
   Google Scholar
• Katzfey, J. J. and Ryan, B. F. 1996. Modification of the thermodynamic structure of the lower troposphere by the evaporation of precipitation: A GEWEX cloud system study. Mon. Wea. Re v. 125, 1431–1466.
   Google Scholar
• Katzfey, J. J. and Ryan, B. F. 2000. Midlatitude frontal clouds: GCM-Scale Modeling Implications. J. Climate 13, 2729–2745.
   Web of Science ®Google Scholar
• Klink, K. 1995. Surface aggregation and subgrid-scale cli-mate. Int. J. Climatol. 15, 1219–1240.
   Web of Science ®Google Scholar
• Klink, K. and Willmott, C. J. 1994. Influence of soil moisture and surface roughness heterogeneity on modeled climate. Climate Res. 4, 105–113.
   Google Scholar
• Kowalczyk, E. A., Garratt, J. R. and Krummel, P. B. 1991. A soil-canopy scheme for use in a numerical model of the atmosphere-1D stand-alone model. Tech. Paper. 23, CSIRO Div. Atmos. Res., PMB1, Aspendale, Vic. 3195, Australia.
   Google Scholar
• Lacis, A. A. and Hansen, J. E. 1974. A parameterization for the absorption of the solar radiation in the Earth’s atmo-sphere. J. Atmos. Sci. 31, 118–133.
   Web of Science ®Google Scholar
• Lenz, C.-J., Muller, F. and Schlünzen, K. H. 2000. The sensitivity of mesoscale chemistry transport model results to boundary values. Environ Monitoring and Assessment 65, 287–295.
   Web of Science ®Google Scholar
• Lettau, H. H. 1979. Wind and temperature profile prediction for diabatic surface layers including strong inversion cases. Boundary-Layer Meteorol. 17, 443–464.
   Web of Science ®Google Scholar
• Louis, J-F. 1979. A parametric model of vertical eddy fluxes in the atmosphere. Boundary-Layer Meteorol. 17, 187–202.
   Web of Science ®Google Scholar
• Lynn, B. H., Rind, D. and Avissar, R. 1995. The importance of mesoscale circulations generated by subgrid-scale land-scape heterogeneities in general circulation models. J. Cli-mate 8, 191–205.
   Web of Science ®Google Scholar
• Lüpkes, C. and Schlünzen, K. H. 1996. Modelling the Arctic convective boundary-layer with different turbulence pa-rameterizations.Boundary-Layer Meteorol. 79, 107–130.
   Google Scholar
• McGregor, J. L. 1987. Accuracy and initialization of a two-time-level split semi-Lagrangian model. In: Short- and medium-range numerical weather prediction (ed. T. Matsuno), J. Meteorol. Soc. Jpn. Special Volume, 233–246.
   Google Scholar
• McGregor, J. L. 1993. Economical determination of departure points for semi-Lagrangian models. Mon. Wea. Rev. 121, 221–246.
   Web of Science ®Google Scholar
• McGregor, J. L., Walsh, K. J. and Katzfey, J. J. 1993.Nested modelling for regional climate studies. In: Modelling change in environmental systems (eds. A. J. Jakeman, M. B. Beck and M. J. McAleer) Wiley, New York, 367-386.
   Google Scholar
• Mölders, N., Raabe, A. and Tetzlaff, G. 1996. A comparison of two strategies on land surface heterogeneity used in a mesoscale beta meteorological model. Tellus 48A, 733–749.
   Google Scholar
• M¨uller, F., Schlünzen, K. H. and Schatzmann, M. 2000. Test of numerical solvers for chemical reaction mechanisms in 3D air quality models. Environmental Modelling Software 15, 639–646.
   Web of Science ®Google Scholar
• Niemeier, U. 1997. Chemische Umsetzungen in einem hochauflösenden mesoskaligen Modell—Bestimmung geeigneter Randwerte und Modellanwendungen -. Dis-sertation, Fachbereich Geowissenschaften, Universitiit Hamburg A 28, 161 pp.
   Google Scholar
• Niemeier, U. and Schlünzen, K. H. 1993. Modelling steep terrain influences on flow patters at the Isle of Helgoland. Beitr Phys. Atmosph. 66, 45–62.
   Google Scholar
• Orlanslci, I. 1976. A simple boundary condition for unbounded hyperbolic flows. J. Comput. Phys. 21, 251–269.
   Web of Science ®Google Scholar
• Pielke, R. A. 1984. Mesoscale meteorological modeling. Academic Press, London, 612 pp.
   Google Scholar
• Schlünzen, K. H. 1990. Numerical studies on the inland penetration of sea breeze fronts at a coastline with tidally flooded mudflats. Beitr Phys. Atmosph. 63, 243–256.
   Google Scholar
• Schlünzen, K. H. 1997. On the validation of high-resolution atmospheric mesoscale models. J. Wind Eng. Ind. Aerodynam. 67-68, 68–492.
   Google Scholar
• Schlünzen, K. H. and Pahl, S. 1992. Modification of dry deposition in a developing sea-breeze circulation—a numerical case study. Atmos. Environ. 26A, 51–61.
   Google Scholar
• Schlünzen, K. H., Bigalke, K., Liipkes, C., Niemeier, U. and Salzen, K. 1996. Concept and realization of the mesoscale transport- and fluid-model ‘METRAS’. METRAS Techn. Rep., Meteorologisches Institut, ZMK, Universitiit Ham-burg 5, 156 pp.
   Google Scholar
• Schlünzen, K. H., Stahlschmidt, T., Rebers, A., Niemeier, U., Kriews, M. and Dannecker, W. 1997. Atmospheric input of lead into the German Bight—A high resolution measurement and model case study for April 23rd to 30th, 1991. Mar EcoL Prog. Ser. 156, 299–309.
   Web of Science ®Google Scholar
• Schwarzkopf, M. D., and Fels, S. B. 1991. The simplified exchange method revisited: An accurate, rapid method for computation of infrared cooling rates and fluxes. J. Geo-phys. Res. 96, 96–9096.
   Google Scholar
• Sheng, L., Schlünzen, K. H. and Wu, Z. 2000. Three-dimensional numerical simulation of the mesoscale wind structure over Shandong peninsula. Acta Meteorol. Sinica 1, 97–107.
   Google Scholar
• Smiatek, G. 1998. Mapping land-use for modelling biogenic and anthropogenic emissions. Proceedings of the EURO-TRAC2 Symposium, Garmisch-Partenkirchen.
   Google Scholar
• USGS, 1996. Global digital elevation model GTOP030. U.S. Geological Survey, EROS Data Center in Sioux Falls, South Dakota.
   Google Scholar
• Salzen, K. and Schlünzen, K. H. 1999. Simulation of the dynamics and composition of secondary and marine inorganic aerosols in the coastal atmosphere. J. Geophys. Res. D 23, 30 201–30217.
   Google Scholar
• Salzen, K., Claussen, M. and Schlünzen, K. H. 1996. Appli-cation of the concept of blending height to the calculation of surface fluxes in a mesoscale model. Meteorol. Z. NF 5, 60–66.
   Google Scholar
• Wu, Z. and Schlünzen, K. H. 1992. Numerical study on the local wind structures forced by the complex terrain of Qingdao area. Acta Meteorol. Sinica 6, 355–366.
   Google Scholar
• Zeng, X. and Pielke, R. 1995. Landscape-induced atmospheric flow and its parameterization in large-scale numerical models. J. Climate 8, 1156–1177.
   Web of Science ®Google Scholar
• Zhang, D. and Anthes, R. 1982. A high-resolution model of the planetary boundary layer: sensitivity tests and comparisons with SESAME-79 data. J. AppL Meteorol. 21, 1594–1609.
   Google Scholar