DOI: 10.3369/tethys.2010.7.07

Tethys no. 7 pp.: 75 - 86


The meteorological model WRF-ARW (Weather Research and Forecasting - Advanced Research WRF) is a new generation model that has a worldwide growing community of users. In the framework of a project that studies the feasibility of implementing it operationally at the Meteorological Service of Catalonia, a verification of the forecasts produced by the model in several cases of precipitation observed over Catalonia has been carried out.


  • - Borge, R., Alexandrov, V., del Vas, J. J., Lumbreras, J., and Rodríguez, E., 2008: A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula, Atmos Environ, 42, 8560–8574, doi: 10.1016/j.atmosenv.2008.08.032.
  • - Davis, C. A., Brown, B., and Bullock, R., 2006: Object-based verification of precipitation forecasts. Part II: Application to convective rain systems, Mon Wea Rev, 134, 1785–1795, doi: 10.1175/MWR3146.1.
  • - Ebert, E. E., 2008: Fuzzy verification of high-resolution gridded forecasts: a review and proposed framework, Meteorol Appl, 15, 51–64, doi: 10.1002/met.25.
  • - Gallus, W. A. and Bresch, J. F., 2006: Comparison of Impacts of WRF Dynamic Core, Physics Package, and Initial Conditions on Warm Season Rainfall Forecasts, Mon Wea Rev, 134, 2632–2641, doi: 10.1175/MWR3198.1.
  • - Hong, S.-Y., Noh, Y., and Dudhia, J., 2006: A new vertical diffusion package with an explcit treatment of entrainment processes, Mon Wea Rev, 134, 2318–2341, doi:10.1175/MWR3199.1.
  • - Jankov, I., Gallus, W. A., Segal, M., and Koch, S. E., 2007: Influence of Initial Conditions on the WRF-ARW Model QPF Response to Physical Parameterization Changes, Wea Forecasting, 22, 501–519, doi: 10.1175/WAF998.1.
  • - Kain, J., Weiss, S., Baldwin, M., Carbin, G., Bright, D., Levit, J., and Hart, J., 2005: Evaluating high-resolution configurations of the WRF model that are used to forecast severe convective weather: The 2005 SPC/NSSL spring experiment, Preprints, 21st Conf. on Weather Analysis and Forecasting, Washington, D.C., Amer. Meteor. Soc., 2A.5,
  • - Kain, J. S., Weiss, S. J., Levit, J. J., Baldwin, M. E., and Bright, D. R., 2006: Examination of convection-allowing configurations of the WRF model for the prediction of severe convective weather: The SPC/NSSL Spring Program 2004, Wea Forecasting, 21, 167–181, doi: 10.1175/WAF906.1.
  • - Klemp, J. B., 2006: Advances in the WRF model for convectionresolving forecasting, Advances in Geosciences, 7, 25–29.
  • - Llasat, M. C., 2001: An objective classification of rainfall events on the basis of their convective features: application to rainfall intensity in the northeast of Spain, Int J Climatol, 21, 1385–1400, doi: 10.1002/joc.692.
  • - Mateo, J., Ballart, D., Brucet, C., Aran, M., and Bech, J., 2009: A study of a heavy rainfall event and a tornado outbreak during the passage of a squall line over Catalonia, Atmos Res, 93, 131–146, doi:10.1016/j.atmosres.2008.09.030.
  • - Roberts, N. M. and Lean, H. W., 2008: Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events, Mon Wea Rev, 136, 78–97, doi: 10.1175/2007MWR2123.1.
  • - Sairouni, A., Moré, J., Toda, J., Miró, J. R., Aran, M., and Cunillera, J., 2007: Verificació dels models de mesoescala operatius al Servei Meteorològic de Catalunya, Notes d’estudi del Servei Meteorològic de Catalunya, n. 71, 78 pp. (ISBN 978-84-393-7590-6).
  • - Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., and Powers, J. G., 2005: A description of the Advanced Research WRF Version 2, NCAR Tech Notes-468+STR, (rev. 2007).
  • - Thompson, G., Rasmussen, R. M., and Manning, K., 2004: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis, Mon Wea Rev, 132, 519–542, doi: 10.1175/1520–0493(2004)132<0519:EFOWPU>2.0.CO;2.
  • - Wang, W., Barker, D., Bray, J., Bruyère, C., Duda, M., Dudhia, J., Gill, D., and Michalakes, J., 2007: User’s Guide for Advanced Research WRF (ARW) Modeling System Version 2.2, Mesoscale and Microscale Meteorology Division - National Center for Atmospheric Research (MMM-NCAR).
  • - Weisman, M. L., Davis, C.,Wang,W., Manning, K.W., and Klemp, J. B., 2008: Experiences with 0-36-h Explicit Convective Forecasts with the WRF-ARW Model, Wea Forecasting, 23, 407–437, doi: 10.1175/2007WAF2007 005.1.
  • - Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction, Academic Press, 467 pp.
  • - Wisse, J. S. P. and Vilà-Guerau de Arellano, J., 2004: Analysis of the role of the planetary boundary layer schemes during a severe convective storm, Ann Geophys, 22, 1861–1874, doi:10.5194/angeo–22–1861–2004.

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License

Indexed in Scopus, Thomson-Reuters Emerging Sources Citation Index (ESCI), Scientific Commons, Latindex, Google Scholar, DOAJ, ICYT (CSIC)

Partially funded through grants CGL2007-29820-E/CLI, CGL2008-02804-E/, CGL2009-07417-E and CGL2011-14046-E of the Spanish Ministry of Science and Innovation

Syndicate content