Scientific challenges of convective-scale numerical weather prediction

Research output: Contribution to journalReview article


Numerical weather prediction models are increasing in resolution and becoming capable of explicitly representing individual convective storms, but we do not yet know if it is the improved resolution that is leading to better forecasts.


  • Jun Ich I. Yano
  • MIchał Z. Ziemian´ski
  • MIke Cullen
  • PIet Termonia
  • Jeanette Onvlee
  • Lisa Bengtsson
  • Alberto Carrassi
  • Richard Davy
  • Anna Deluca
  • Suzanne L. Gray
  • Víctor Homar
  • Mart In Köhler
  • Simon Krichak
  • Silas Michaelides
  • Vaughan T.J. Phillips
  • Pedro M.M. Soares
  • Andrzej A. Wyszogrodzki
External organisations
  • Centre National de Recherches Météorologiques, Meteo-France
  • Met Office
  • Royal Netherlands Meteorological Institute
  • University of Reading
  • German Meteorological Service (DWD)
  • Tel-Aviv University
  • Royal Meteorological Institute of Belgium
  • Cooperative Institute for Research in Environmental Sciences
  • Nansen Environmental and Remote Sensing Center
  • Catalan Institute of Climate Sciences
  • University of the Balearic Islands
  • The Cyprus Institute (CyI)
  • Cyprus University of Technology
  • University of Lisbon
  • Institute Of Meteorology And Water Management, National Research Institute, Poland
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Meteorology and Atmospheric Sciences
Original languageEnglish
Pages (from-to)699-710
Number of pages12
JournalBulletin of the American Meteorological Society
Issue number4
Publication statusPublished - 2018 Apr 1
Publication categoryResearch