59
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Doppler radar radial winds in HIRLAM. Part I: observation modelling and validation

, , , , &
Pages 278-287 | Received 05 Nov 2007, Accepted 05 Nov 2008, Published online: 15 Dec 2016

References

  • Browning, K. A. and Wexler, R. 1968. The determination of kinematic properties of a wind field using Doppler radar. J. Appl. Meteorol. 7, 105–113.
  • Caumont, J., Wattrelot, E., Ducrocq, V., Jaubert, G. and Bouttier, E 2006. First results of 1D+3DVAR assimilation of radar reflectivities. In: Proceedings of the Fourth European Conference on Radar Meteorology and Hydrology, Barcelona, Spain, 539–542.
  • Dazhang, T., Geotis, S. G., Passarelli, R. E. Jr., Hansen, A. L. and Frush, C. L. 1984. Evaluation of an alternating-PRF method for extending the range of unambiguous Doppler velocity. In: Proceedings of 22d Conf on Radar Meteorology, Zurich, Switzerland, Am. Meteorol. Soc. (preprints), 523-527.
  • Doviak, R. J. and Zrnié, D. S. 1993. Doppler Radar and Weather Ob-servations 2nd edition. San Diego Academic Press, Inc., San Diego, 567 pp.
  • Efron, B. 1982. The Jackknife, the Bootstrap and Other Resampling Plans. Society for Industrial and Applied Mathematics, Providence, RI, 97 pp.
  • Efron, B. and Gong, G. 1983. A leisurely look at the bootstrap, the jackknife, and cross-validation.J. Am. Stat.1 Assoc. 37, 36-48.
  • Eresmaa, R. and Järvinen, H. 2006. An observation operator for ground-based GPS slant delays. Tellus 58A, 131–140.
  • Eyre, J. R. 1990. Progress on direct use of satellite sounding radiances in numerical weather prediction. In: Proceedings of WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography (preprints), WMO, Clermont-Ferrand, France, 9-13 July 1990 Report, 117-121.
  • Gustafsson, N., Berre, L., Hörnquist, S., Huang, X.-Y., Lindskog, M. and co-authors. 2001. Three-dimensional variational data assimilation for a limited area model, part I: general formulation and the background error constraint. Tellus 53A, 425-446.
  • Haase, G. and Landelius, T. 2004. Dealiasing of Doppler radar velocities using a torus mapping. J. Atmos. Oceanic TechnoL 21, 1566–1573.
  • Kalnay, E. 2003. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, United Kingdom, 341 pp.
  • Lehtinen, M. and Huuskonen, A. 1996. General incoherent scatter analysis and GUISDAP. J. Atmos. Terr Phys. 58,435–452.
  • Lhermitte, R. M. and Atlas, D. 1961. Precipitation motion by pulse Doppler radar. In: Proceedings of the 9th Weather Radar Conference, Kansas City, 23-26 October 1961, Am. Meteorol. Soc., Kansas City, Missouri, USA, 218-223.
  • Lindskog, M., Järvinen, H. and Michelson, D. B. 2000. Assimilation of radar radial winds in the HIRLAM 3D-Var. Phys. Chem. Earth (B) 25, 1243–1249.
  • Lindskog, M., Gustafsson, N., Navascues, B., Mogensen, K. S., Huang, X.-Y. and co-authors. 2001. Three-dimensional varia-tional data assimilation for a limited area model, part II: ob-servation handling and assimilation experiments. Tellus 53, 447-468.
  • Lindskog, M., Salonen, K., Järvinen, H. and Michelson, D. B. 2004. Doppler radar wind data assimilation with HIRLAM 3DVAR. Mon. Wea. Re v. 132, 1081–1092.
  • Marshal, J. S. and Palmer, M. K. 1948. The distribution of raindrops with size. J. Meteorol. 5, 165–166.
  • Pirttilä, J., Lehtinen, M. S., Huuskonen, A. and MarIcicanen, M. 2005. A proposed solution to the range-Doppler dilemma of weather radar measurements by uthe SMPRF codes, practical results, and a com-parison with operational measurements. J. Appl. Meteorol. 44, 1375–1390.
  • Probert-Jones, J. R. 1962. The radar equation in meteorology. Quart. J. R. Meteorol. Soc. 88, 485–495.
  • Ray, P. and Ziegler, C. 1977. De-aliasing first moment Doppler estimates. J. Appl. Meteorol. 16, 563–564.
  • Rihan, F., Collier, C. and Roulstone, I. 2005. Four-dimensional varia-tional data assimilation for Doppler radar wind data. J. Comput. Appl. Math. 176, 15–34.
  • Salonen, K., Järvinen, H. and Lindskog, M. 2003. Model for Doppler radar radial winds. In: Proceedings of 31st Conf on Radar Meteo-rology Volume 1, Seattle, WA, Am. Meteorol. Soc. (preprints),142-145.
  • Salonen, K., Järvinen, H., Eresmaa, R. and Niemeld, S. 2007. Bias estimation of Doppler-radar radial-wind observations. Quart. J. R. Meteorol. Soc. 133, 1501–1507.
  • Seko, H., Kawabata, T., Tsuyuki, T., Nakamura, H., Koizumi, K. and co-authors. 2004. Impacts of GPS-derived water vapor and radial wind measured by Doppler radar on numerical prediction of precipitation. J. Meteorol. Soc. Jpn. 82, 473-489.
  • Sirmans, D., Zrnié, D. and Bumgarner, B. 1976. Extension of maximum unambiguous Doppler velocity by use of two sampling rates. In: Proceedings of 17th Conf on Radar Meteorology, Seattle, WA, Am. Meteorol. Soc. (preprints), 22-28.
  • Sun, J. and Crook, N. A. 1997. Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint, part I: model development and simulated data experiments. J. Atmos. Sc i. 54, 1642–1661.
  • Undén, R, Rontu, L., Järvinen, H., Lynch, P., Calvo, J. and co-authors. 2002. HIRLAM-5 Scientific Documentation. SMHI, Norrkoping, Sweden, 144 pp.
  • Vedel, H. and Huang, X.-Y. 2004. Impact of ground based GPS data on numerical weather prediction. J. Meteorol. Soc. Jpn. 82, 459–472.
  • Waldteufel, P. and Corbin, H. 1979. On the analysis of single Doppler data. J. Appl. Meteorol. 18, 532–542.
  • Yang, X. 2007. Status of the HIRLAM reference system. HIRLAM Newslett. 52, 172-175. KNMI, De Bilt, The Netherlands. Available at http://hirlam.org/open/publications/NewsLetters.