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High-Resolution Climate Predictions and Short-Range Forecasts to Improve the Process Understanding and the Representation of Land-Surface Interactions in the WRF Model in Southwest Germany (WRFCLIM)

  • Hans-Stefan Bauer
  • Kirsten Warrach-Sagi
  • Volker Wulfmeyer
  • Thomas Schwitalla
  • Martin Kirn
Conference paper

Abstract

The use of numerical modeling for climate projections is an important task in scientific research since they are the most promising means to gain insight in possible climate changes. The quality of the simulations and the understanding of the interaction of anthropogenic climate change with natural climate variability have been constantly improved in recent years. This is especially true for the global scale. In the meantime, regional climate simulations with grid resolutions of 10–50 km became available in the climate modeling community. However, several effects as e.g. boundary problems or inconsistencies in model physics introduced by the driving models limit the improvement of the simulation skill on the mesoscale.

Within the CORDEX framework, the Weather Research and Forecasting (WRF) model is applied for the first time to perform a 20-year simulation for the period 1989–2009 for Europe driven by the ERA-Interim analysis. The selected resolutions are 0.33°and 0.11°. Aim of this simulation is to investigate the capability of the selected WRF configuration to represent the climate in the recent two decades and to study the effect of resolution on the results. Furthermore a first climate projection driven by the ECHAM5/MPI OM model was done for the period 1989–2030.

First results from evaluating the annual and seasonal precipitation from 1990 to 2009 against the German REGNIE observations show a wet bias of the model in the order of 30.

Keywords

Regional Climate Model Climate Projection Numerical Weather Prediction International Satellite Cloud Climatology Project Regional Climate Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bauer et al.(2011) Bauer, Weusthoff, Dorninger, Wulfmeyer, Schwitalla, Gorgas, Arpagaus and Warrach-Sagi.
    H.-S. Bauer, T. Weusthoff, M. Dorninger, V. Wulfmeyer, T. Schwitalla, T. Gorgas, M. Arpagaus and K. Warrach-Sagi, 2011: Predictive skill of a subset of models participating in D-PHASE in the COPS region. Quart. J. Roy. Meteorol. Soc., 137, 287–305. DOI: 10.1002/qj.715. CrossRefGoogle Scholar
  2. Crewell et al.(2008) Crewell, Mech, Reinhardt, Selbach, Betz, Brocard, Dick, O’Conner, Fischer, Hanisch, Hauf, Hünerbein, Delobbe, Mathes, Peters, Wernli, Wiegner and Wulfmeyer.
    S. Crewell, M. Mech, T. Reinhardt, C. Selbach, H.-D. Betz, E. Brocard, G. Dick, E. O’Conner, J. Fischer, T. Hanisch, T. Hauf, A. Hünerbein, L. Delobbe, A. Mathes, G. Peters, H. Wernli, M. Wiegner and V. Wulfmeyer, 2008: The general observation period 2007 within the priority program on quantitative precipitation forecasting: Concept and first results. Meteorol. Zeitschrift, 17, 6, 849–866. DOI: 10.1127/0941-2948/2008/0336. CrossRefGoogle Scholar
  3. Déqué et al.(2007) Déqué, Rowell, Lüthi, Giorgi, Christensen, Rockel, Jacob, Kjellström, De Castro and van den Hurk.
    M. Déqué, D. P. Rowell, D. Lüthi, F. Giorgi, J. H. Christensen, B. Rockel, D. Jacob, E. Kjellström, M. De Castro and B. van den Hurk, 2007: An intercomparison of regional climate simulations for Europe: Assessing uncertainties in model projections. Clim. Change, 81, 53–70. CrossRefGoogle Scholar
  4. Doherty et al.(2009)Doherty, Bojinski, Henderson-Sellers, Noone, Goodrich, Bindoff, Church, Hibbard, Karl, Kajfez-Bogataj, Lynch, Parker, Prentice, Ramaswamy, Saunders, Smith, Steffen, Stocker, Throne, Trenberth, Verstraete and Zwiers.
    S. J. Doherty, S. Bojinski, A. Henderson-Sellers, K. Noone, D. Goodrich, N. L. Bindoff, J. A. Church, K. A. Hibbard, T. R. Karl, L. Kajfez-Bogataj, A. H. Lynch, D. E. Parker, I. C. Prentice, V. Ramaswamy, R. W. Saunders, M. S. Smith, K. Steffen, T. F. Stocker, P. W. Throne, K. E. Trenberth, M. M. Verstraete and F. W. Zwiers, 2009: Lessons learned from IPCC AR4: Scientific developments needed to understand, predict and respond to climate change. Bull. Amer. Meteor. Soc., 90, 497–513. CrossRefGoogle Scholar
  5. Hohenegger et al.(2008)Hohenegger, Brockhaus and Schär.
    C. Hohenegger, P. Brockhaus and C. Schär, 2008: Towards climate simulations at cloud-resolving scale. Meteorol. Zeitschrift, 17, 383–394. CrossRefGoogle Scholar
  6. Jacob et al.(2007)Jacob, Bähring, Christensen, Christensen, Hagemann, Hirschi, Kjellström, Lenderink, Rockel, Schär, Seneviratne, Somot, van Ulden and van den Hurk.
    D. Jacob, L. Bähring, O. B. Christensen, J. H. Christensen, S. Hagemann, M. Hirschi, E. Kjellström, G. Lenderink, B. Rockel, C. Schär, S. I. Seneviratne, S. Somot, A. van Ulden and B. van den Hurk, 2007: An intercomparison of regional climate models for Europe: Design of the experiments and model performance. Clim. Change, 81. PRUDENCE Special Issue. Google Scholar
  7. Jungclaus et al.(2005)Jungclaus, Keenlyside, Botzet, Haak, Luo, Latif, Micolajewicz and Roeckner.
    J. H. Jungclaus, N. Keenlyside, M. Botzet, H. Haak, J.-J. Luo, M. Latif, U. Micolajewicz and E. Roeckner, 2005: Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J. Climate, 19, 3952–3972. CrossRefGoogle Scholar
  8. Morrison and Gettelman(2008).
    H. Morrison and A. Gettelman, 2008: A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests. Google Scholar
  9. Rotach et al.(2009)Rotach, Arpagaus, Dorninger, Hegg, Montani, Ranzi, Bouttier, Buzzi, Frustaci, Mylne, Richard, Rossa, Schär, Staudinger, Volkert, Wulfmeyer, Ambrosetti, Ament, Appenzeller, Bauer, Davolio, Denhard, Fontannaz, Frick, Fundel, Germann, Hering, Keil, Liniger, Marsigli, Seity, Stoll, Walser and Zappa.
    M. W. Rotach, M. Arpagaus, M. Dorninger, C. Hegg, A. Montani, R. Ranzi, F. Bouttier, A. Buzzi, G. Frustaci, K. Mylne, E. Richard, A. Rossa, C. Schär, M. Staudinger, H. Volkert, V. Wulfmeyer, P. Ambrosetti, F. Ament, C. Appenzeller, H.-S. Bauer, S. Davolio, M. Denhard, L. Fontannaz, J. Frick, F. Fundel, U. Germann, A. Hering, C. Keil, M. Liniger, C. Marsigli, Y. Seity, M. Stoll, A. Walser and M. Zappa, 2009: MAP D-PHASE: Real-time demonstration of weather forecast quality in the alpine region. Bull. Amer. Meteor. Soc., 90, 1321–1336. CrossRefGoogle Scholar
  10. Schär et al.(2004)Schär, Vidale, Lüthi, Frei, Haeberli, Liniger and Appenzeller.
    C. Schär, P. L. Vidale, D. Lüthi, C. Frei, C. Haeberli, M. A. Liniger and C. Appenzeller, 2004: The role of increasing temperature variability in European summer heatwaves. Nature, 427, 332–336. CrossRefGoogle Scholar
  11. Schönwiese(2000).
    C. D. Schönwiese, 2000: Praktische Statistik für Meteorologen und Geowissenschaftler. Bornträger, Stuttgart. Google Scholar
  12. Schwitalla et al.(2011)Schwitalla, Bauer, Wulfmeyer and Aoshima.
    T. Schwitalla, H.-S. Bauer, V. Wulfmeyer and F. Aoshima, 2011: High-resolution simulation over central Europe: Assimilation experiments during COPS IOP9c. Quart. J. Roy. Meteorol. Soc., 137, 156–175. DOI: 10.1002/qj.721. CrossRefGoogle Scholar
  13. Schwitalla et al.(2008)Schwitalla, Bauer, Wulfmeyer and Zängl.
    T. Schwitalla, H.-S. Bauer, V. Wulfmeyer and G. Zängl, 2008: Systematic errors of QPF in low mountain regions. Meteorol. Zeitschrift, 17, 903–917. CrossRefGoogle Scholar
  14. Skamarock and Klemp(2008).
    W. C. Skamarock and J. B. Klemp, 2008: A time-split nonhydrostatic atmospheric model for research and NWP applications. J. Comp. Phys., 227, 3465–3485. Special issue on environmental modeling. zbMATHMathSciNetCrossRefGoogle Scholar
  15. Skamarock et al.(2008)Skamarock, Klemp, Dudhia, Gill, Barker, Duda, Huang, Wang and Powers.
    W. C. Skamarock, J. B. Klemp, J. Dudhia, D. Gill, D. O. Barker, M. G. Duda, X.-Y. Huang, W. Wang and J. G. Powers, 2008: A Description of the Advanced Research WRF Version 3. NCAR Technical Note TN-475+STR, NCAR, P.O. Box 3000, Boulder, CO, 80307. Google Scholar
  16. Solomon et al.(2007)Solomon, Qin, Manning, Chen, Marquis, Avery, Tignor and Miller.
    S. Solomon, D. Qin, M. Manning, L. Chen, M. Marquis, K. B. Avery, M. Tignor and H. L. Miller, 2007: Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge, 996 pp. Google Scholar
  17. Thuburn(2008).
    T. Thuburn, 2008: Some conservation issues for dynamical cores of NWP and climate models. J. Comp. Phys., 227, 3715–3730. zbMATHMathSciNetCrossRefGoogle Scholar
  18. Weusthoff et al.(2009)Weusthoff, Ament, Arpagaus and Rotach.
    T. Weusthoff, F. Ament, M. Arpagaus and M. W. Rotach, 2009: Verification of precipitation forecasts of the D-PHASE data set. In: Proceedings of the 30th International Conference on Alpine Meteorology, pp. 72–73. Rastatt, Baden-Württemberg, Germany. Google Scholar
  19. WMO(2010).
    WMO, 2010: WWRP Strategic Plan 2009–2017. Available online: http://www.wmo.int/pages/prog/arep/wwrp/new/documents/final_WWRP_SP_6_Oct.pdf.
  20. Wulfmeyer et al.(2008)Wulfmeyer, Behrendt, Bauer, Kottmeier, Corsmeier, Blyth, Craig, Schumann, Hagen, Crewell, Di Girolamo, Flamant, Miller, Montani, Mobbs, Richard, Rotach, Arpagaus, Russchenberg, Schlüssel, König, Gärtner, Steinacker, Dorninger, Turner, Weckwerth, Hense and Simmer.
    V. Wulfmeyer, A. Behrendt, H.-S. Bauer, C. Kottmeier, U. Corsmeier, A. Blyth, G. Craig, U. Schumann, M. Hagen, S. Crewell, P. Di Girolamo, C. Flamant, M. Miller, A. Montani, S. Mobbs, E. Richard, M. W. Rotach, M. Arpagaus, H. Russchenberg, P. Schlüssel, M. König, V. Gärtner, R. Steinacker, M. Dorninger, D. D. Turner, T. M. Weckwerth, A. Hense and C. Simmer, 2008: The convective and orographically-induced precipitation study: A research and development project of the world weather research program for improving quantitative precipitation forecasting in low-mountain regions. Bull. Amer. Meteor. Soc., 89, 10, 1477–1486. DOI: 10.1175/2008BAMS2367.1. CrossRefGoogle Scholar
  21. Wulfmeyer et al.(2011)Wulfmeyer, Behrendt, Kottmeier, Corsmeier, Barthlott, Craig, Hagen, Althausen, Aoshima, Arpagaus, Bauer, Bennett, Blyth, Brandau, Champollion, Crewell, Dick, DiGirolamo, Dorninger, Dufournet, Eigenmann, Engelmann, Flamant, Foken, Gorgas, Grzeschik, Handwerker, Hauck, Höller, Junkermann, Kalthoff, Kiemle, Klink, König, Krauss, Long, Madonna, Mobbs, Neininger, Pal, Peters, Pigeon, Richard, Rotach, Russchenberg, Schwitalla, Smith, Steinacker, Trentmann, Turner, van Baelen, Vogt, Volker, Weckwerth, Wernli, Wieser and Wirth.
    V. Wulfmeyer, A. Behrendt, C. Kottmeier, U. Corsmeier, C. Barthlott, G. C. Craig, M. Hagen, D. Althausen, F. Aoshima, M. Arpagaus, H.-S. Bauer, L. Bennett, A. Blyth, C. Brandau, C. Champollion, S. Crewell, G. Dick, P. DiGirolamo, M. Dorninger, Y. Dufournet, R. Eigenmann, R. Engelmann, C. Flamant, T. Foken, T. Gorgas, M. Grzeschik, J. Handwerker, C. Hauck, H. Höller, W. Junkermann, N. Kalthoff, C. Kiemle, S. Klink, M. König, L. Krauss, C. N. Long, F. Madonna, S. Mobbs, B. Neininger, S. Pal, G. Peters, G. Pigeon, E. Richard, M. W. Rotach, H. Russchenberg, T. Schwitalla, V. Smith, R. Steinacker, J. Trentmann, D. D. Turner, J. van Baelen, S. Vogt, H. Volker, T. Weckwerth, H. Wernli, A. Wieser and M. Wirth, 2011: The convective and orographically induced precipitation study (COPS): The scientific strategy, the field phase, and first highlights. Q. J. R. Meteorol. Soc., 137, 3–30. DOI: 10.1002/qj.752. CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hans-Stefan Bauer
    • 1
  • Kirsten Warrach-Sagi
    • 1
  • Volker Wulfmeyer
    • 1
  • Thomas Schwitalla
    • 1
  • Martin Kirn
    • 1
  1. 1.Institute of Physics and MeteorologyUniversity of HohenheimStuttgartGermany

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