High-Resolution Latitude Belt Simulation with the Weather Research and Forecasting Model

  • Thomas SchwitallaEmail author
  • Kirsten Warrach-Sagi
  • Volker Wulfmeyer


Most of the current longer term forecasts are performed on horizontal grid resolutions of 15–50 km due to lack of computational resources. As this resolution can be too coarse to represent certain meteorological features, often limited area models (LAM) on higher resolutions are applied for the region of interest. They require external boundary conditions from a coarser driving model at the edges of the model domain. As this can deteriorate the results due to e.g. cutting through an intense storm, it is desirable to have less boundaries to allow the model to develop its own internal climate. In this study we present a high-resolution latitude belt simulation for half of the northern hemisphere. The horizontal resolution is 0.03 spanning a belt between 20 N and 65 N. The domain encompasses 12000∗1500∗57 grid boxes and is driven by the ECMWF operational analysis. The simulation period was July and August 2013. First results are promising as on average, the simulation of key meteorological variables like temperature, humidity, and wind is close to the ECMWF operational analysis. One of the highlights was the simulation of typhoon Soulik with 10 days lead time.


Limited Area Model High Horizontal Resolution Small Scale Convection Grid Increment XC40 System 
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.



This work was greatly supported by U. Küster, T. Beisel, and T. Bönisch from HLRS. We also achieved valuable technical support from S. Andersson and S. Dieterich from Cray Inc. We are also grateful to ECMWF for providing ECMWF analysis data from the operational model.


  1. 1.
    Browning, K.A.: The dry intrusion perspective of extra-tropical cyclone development. Meteorol. Appl. 4(4), 317–324 (1997)CrossRefGoogle Scholar
  2. 2.
    Chen, F., Dudhia, J.: Coupling an advanced land-surface/hydrology model with the Penn State NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon. Weather Rev. 129, 569–585 (2001)Google Scholar
  3. 3.
    Dawson, A., Palmer, T.N., Corti, S.: Simulating regime structures in weather and climate prediction models. Geophys. Res. Lett. 39, L21805 (2012)CrossRefGoogle Scholar
  4. 4.
    Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A.C.M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A.J., Haimberger, L., Healy, S.B., Hersbach, H., Hólm, E.V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A.P., Monge-Sanz, B.M., Morcrette, J.J., Park, B.K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.N., Vitart, F.: The ERA-interim reanalysis: configuration and performance of the data assimilation system.). Q.J.R. Meteorol. Soc. 137, 553–597 (2011)Google Scholar
  5. 5.
    Donlon, C.J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., Wimmer, W.: The operational sea surface temperature and sea ice analysis (OSTIA) system. Remote Sens. Environ. 116, 140–158 (2012). Advanced Along Track Scanning Radiometer(AATSR) Special IssueGoogle Scholar
  6. 6.
    Hong, S.Y.: Stable boundary layer mixing in a vertical diffusion scheme. In: The Korea Meteorological Society, Fall conference, Seoul, Korea, Oct 25–26, 2007Google Scholar
  7. 7.
    Iacono, M.J., Delamere, J.S., Mlawer, E.J., Shephard, M.W., Clough, S.A., Collins, W.D.: Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models. J. Geophys. Res. 113 (2008)Google Scholar
  8. 8.
    Jimenéz, P., Dudhia, J., Fidel González-Rouc, F., Navarro, J., Montávez, J., Garcia-Bustamante, E.: A revised scheme for the WRF surface layer formulation. Mon. Weather Rev. 140, 898–918 (2012)CrossRefGoogle Scholar
  9. 9.
    Meehl, G.A., and Coauthors: Decadal prediction. Bull. Am. Meteor. Soc. 90, 467–1485 (2009). doi: 10.1175/2009BAMS2778.1
  10. 10.
    Morrison, H., Thompson, G., Tatarskii, V.: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes. Mon. Weather Rev. 137, 991–1007 (2009)CrossRefGoogle Scholar
  11. 11.
    Palmer, T.N.: Climate extremes and the role of dynamics. Proc. Natl. Acad. Sci. 110, 5281–5282 (2013). doi: 10.1073/pnas.1303295110 CrossRefGoogle Scholar
  12. 12.
    Schwitalla, T., Wulfmeyer, V.: Radar data assimilation experiments using the IPM WRF rapid update cycle. Meteorol. Z. 23, 79–102 (2014)CrossRefGoogle Scholar
  13. 13.
    Schwitalla, T., Bauer, H.S., Wulfmeyer, V., Zängl, G.: Systematic errors of QPF in low-mountain regions as revealed by MM5 simulations. Meterol. Z. 17, 903–919 (2008)CrossRefGoogle Scholar
  14. 14.
    Schwitalla, T., Bauer, H.S., Wulfmeyer, V., Aoshima, F.: High-resolution simulation over central Europe: assimilation experiments during COPS IOP 9c. Q. J. R. Meteorol. Soc. 137(S1), 156–175 (2011)CrossRefGoogle Scholar
  15. 15.
    Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D., Barker, D.O., Duda, M.G., Wang, W., Powers, J.G.: A description of the Advanced Research WRF version 3. NCAR Technical Note TN-475+STR, NCAR, Boulder/CO, 2008Google Scholar
  16. 16.
    Warrach-Sagi, K., Schwitalla, T., Wulfmeyer, V., Bauer, H.S.: Evaluation of a climate simulation in Europe based on the WRF-NOAH model system: precipitation in Germany. Climate Dynam. 41(3–4), 755–774 (2013). doi: 10.1007/S00382-013-1727-7 CrossRefGoogle Scholar
  17. 17.
    Žagar, N., Honzak, L., Žabkar, R., Skok, G., Rakovec, J., Ceglar, A.: Uncertainties in a regional climate model in the midlatitudes due to the nesting technique and the domain size. J. Geophys. Res. 118(12), 6189–6199 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Thomas Schwitalla
    • 1
    Email author
  • Kirsten Warrach-Sagi
    • 1
  • Volker Wulfmeyer
    • 1
  1. 1.Institut für Physik und MeteorologieUniversität HohenheimStuttgartGermany

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