Literaturverzeichnis

  1. [1] Durran, Dale R. „Improving the Anelastic Approximation". Journal of the Atmospheric Sciences 46.11, S. 1453-1461. 1988. DOI: https://doi.org/10.1175/1520-0469(1989)046<1453:ITAA>2.0.CO;2
  2. [2] Spiegel, E. A. und Veronis, G. „On the Boussinesq Approximation for a Compressible Fluid.". apj 131, S. 442. 1960. DOI: https://doi.org/10.1086/146849
  3. [3] Chester Wisner und H. D. Orville und Carol Myers. „A Numerical Model of a Hail-Bearing Cloud". Journal of Atmospheric Sciences 29.6, S. 1160 - 1181. 1972. DOI: https://doi.org/10.1175/1520-0469(1972)029<1160:ANMOAH>2.0.CO;2
  4. [4] Akia Arakawa und Vivian R. Lamb. „Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model". In: General Circulation Models of the Atmosphere. Hrsg. von JULIUS CHANG. Bd. 17. Methods in Computational Physics: Advances in Research and Applications. Elsevier, 1977, S. 173 - 265. DOI: https://doi.org/10.1016/B978-0-12-460817-7.50009-4
  5. [5] K. V. Beard und H. R. Pruppacher. „A Wind Tunnel Investigation of the Rate of Evaporation of Small Water Drops Falling at Terminal Velocity in Air". Journal of Atmospheric Sciences 28.8, S. 1455 - 1464. 1971. DOI: https://doi.org/10.1175/1520-0469(1971)028<1455:AWTIOT>2.0.CO;2
  6. [6] Yuh-Lang Lin und Richard D. Farley und Harold D. Orville. „Bulk Parameterization of the Snow Field in a Cloud Model". Journal of Applied Meteorology and Climatology 22.6, S. 1065 - 1092. 1983. DOI: https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2
  7. [7] Pijush K. Kundu und Ira M. Cohen und David R. Dowling. Fluid Mechanics. Academic Press. 2016. DOI: https://doi.org/10.1016/B978-0-12-405935-1.00001-0
  8. [8] Nakanishi, Mikio. „Improvement Of The Mellor–Yamada Turbulence Closure Model Based On Large-Eddy Simulation Data". Boundary-Layer Meteorology 99, S. 349-378. 2001. DOI: https://doi.org/10.1023/A:1018915827400
  9. [9] J. S. Marshall und W. Mc K. Palmer. „THE DISTRIBUTION OF RAINDROPS WITH SIZE". Journal of Atmospheric Sciences 5.4, S. 165 - 166. 1948. DOI: https://doi.org/10.1175/1520-0469(1948)005<0165:TDORWS>2.0.CO;2
  10. [10] Brian J. Hoskins. „The Geostrophic Momentum Approximation and the Semi-Geostrophic Equations". Journal of Atmospheric Sciences 32.2, S. 233 - 242. 1975. DOI: https://doi.org/10.1175/1520-0469(1975)032<0233:TGMAAT>2.0.CO;2
  11. [11] Abramowitz, M. und Stegun, I. A. Handbook of Mathematical Functions: With Formulas, Graphs, and Mathematical Tables. 2014
  12. [12] The five different grids by Arakawa. 2016
  13. [13] Zdunkowski, W. und Bott., A. Dynamics of the Atmosphere: A Course in Theoretical Meteorology. Cambridge University Press. 2013
  14. [14] S. Chandrasekhar. Radiative Transfer. Dover Publications. 1960
  15. [15] Mohr, P. J. und Newell, D. B. und Taylor, B. N. „CODATA recommended values of the fundamental physical constants: 2014". Reviews of Modern Physics 88. 2016
  16. [16] Doms, G., Förstner, J., Heise, E. et al. A Description of the Nonhydrostatic Regional COSMO Model: Part II: Physical Parameterization. 2011
  17. [17] White, A. A., Hoskins, B. J., Roulstone, I. et al. „Consistent approximate models of the global atmosphere: shallow, deep, hydrostatic, quasi-hydrostatic and non-hydrostatic". Quarterly Journal of the Royal Meteorological Society 131.609, S. 2081-2107. 2005. DOI: https://doi.org/10.1256/qj.04.49
  18. [18] T. Fließbach. Mechanik: Lehrbuch zur Theoretischen Physik I. Spektrum Akademischer Verlag. 2009
  19. [19] T. Fließbach. Elektrodynamik: Lehrbuch zur Theoretischen Physik II. Spektrum Akademischer Verlag. 2012
  20. [20] T. Fließbach. Quantenmechanik: Lehrbuch zur Theoretischen Physik III. Spektrum Akademischer Verlag. 2008
  21. [21] T. Fließbach. Statistische Physik: Lehrbuch zur Theoretischen Physik IV. Spektrum Akademischer Verlag. 2010
  22. [22] Kurzweil, P. und Frenzel, B. und Gebhard, F. Physik Formelsammlung. Springer Vieweg. 2014
  23. [23] Gassmann, Almut und Herzog, Hans-Joachim. „Towards a consistent numerical compressible non‐hydrostatic model using generalized Hamiltonian tools". Quarterly Journal of the Royal Meteorological Society 134, S. 1597 - 1613. 2008. DOI: https://doi.org/10.1002/qj.297
  24. [24] Gassmann, Almut. „Inspection of hexagonal and triangular C-grid discretizations of the shallow water equations". J. Comput. Physics 230, S. 2706-2721. 2011. DOI: https://doi.org/10.1016/j.jcp.2011.01.014
  25. [25] Ghosh, S. und Jonas, P. R. „On the application of the classic Kessler and Berry schemes in Large Eddy Simulation models with a particular emphasis on cloud autoconversion, the onset time of precipitation and droplet evaporation". Annales Geophysicae 16.5, S. 628-637. 1998. URL: https://hal.science/hal-00316399
  26. [26] M. Hantel. Einführung Theoretische Meteorologie. Springer Spektrum. 2013
  27. [27] J. R. Holton. An Introduction to Dynamic Meteorology. Academic Press, Inc. 1979
  28. [28] International Association for the Properties of Water und Steam. Guideline on the Use of Fundamental Physical Constants and Basic Constants of Water: IAPWS G5-01(2016). 2016
  29. [29] McCarthy, D. D. und Petit, G. IERS Conventions (2003). International Earth Rotation and Reference Systems Service. 2003
  30. [30] Lynch, Peter. The Emergence of Numerical Weather Prediction: Richardson's Dream. Cambridge University Press. 2006
  31. [31] National Aeronautics und Space Administration. Earth Fact Sheet. 2016. URL: https://nssdc.gsfc.nasa.gov/planetary/factsheet/earthfact.html
  32. [32] Phillips, Norman A. „The Equations of Motion for a Shallow Rotating Atmosphere and the “Traditional Approximation”". Journal of the Atmospheric Sciences 23.5, S. 626-628. 1966. DOI: https://doi.org/10.1175/1520-0469(1966)023<0626:TEOMFA>2.0.CO;2
  33. [33] Klett, J. D. und Pruppacher, H. R. Microphysics of Clouds and Precipitation. Springer Science+Business Media. 2010
  34. [34] David J. Stensrud. Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press. 2007
  35. [35] Sun, Zhian und Rikus, Lawrie. „Parametrization of effective sizes of cirrus-cloud particles and its verification against observations". Quarterly Journal of the Royal Meteorological Society 125.560, S. 3037-3055. 1999. DOI: https://doi.org/10.1002/qj.49712556012
  36. [36] Stanisłav R. Massel. Ocean Surface Waves: Their Physics and Prediction. World Scientific Publishing. 2018
  37. [37] Thuburn, John. „Numerical wave propagation on the hexagonal C-grid". Journal of Computational Physics 227, S. 5836-5858. 2008. DOI: https://doi.org/10.1016/j.jcp.2008.02.010
  38. [38] Bazile, Eric, Marquet, Pascal, Bouteloup, Y. et al. „The Turbulent Kinetic Energy (TKE) scheme in the NWP models at Météo-France". 2011
  39. [39] National Imagery und Mapping Agency. Department of Defense World Geodetic System 1984: Its Definition and Relationships with Local Geodetic Systems. 2000
  40. [40] Guide to Instruments and Methods of Observation: Volume V - Quality Assurance and Management of Observing Systems; Part I - Measurement of Meteorological Variables. World Meteorological Organization. 2018. URL: https://library.wmo.int/index.php?lvl=notice_display&id=19660