University of Hertfordshire

Operational, regional-scale, chemical weather forecasting models in Europe

Research output: Contribution to journalArticle

Documents

  • J. Kukkonen
  • T. Balk
  • D. Schultz
  • A. Baklanov
  • T. Klein
  • A.I. Miranda
  • A. Monteiro
  • M. Hirtl
  • V. Tarvainen
  • M. Boy
  • V.H. Peuch
  • A. Poupkou
  • I. Kioutsioukis
  • S. Finardi
  • M. Sofiev
  • K. Lehtinen
  • K. Karatzas
  • R. San Jose
  • M. Astitha
  • G. Kallos
  • M. Schaap
  • E. Reimer
  • H. Jakobs
  • K. Eben
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Original languageEnglish
Pages (from-to)5985-6162
JournalAtmospheric Chemistry and Physics Discussions
Volume11
Issue2
DOIs
Publication statusPublished - 2011

Abstract

Numerical models that combine weather forecasting and atmospheric chemistry are here referred to as chemical weather forecasting models. Eighteen operational chemical weather forecasting models on regional and continental scales in Europe are described and compared in this article. Topics discussed in this article include how weather forecasting and atmospheric chemistry models are integrated into chemical weather forecasting systems, how physical processes are incorporated into the models through parameterization schemes, how the model architecture affect the predicted variables, and how air chemistry and aerosol processes are formulated. In addition, we discuss sensitivity analysis and evaluation of the models, user operational requirements, such as model availability and documentation, and output availability and dissemination. In this manner, this article allows for the evaluation of the relative strengths and weaknesses of the various modelling systems and modelling approaches. Finally, this article highlights the most prominent gaps of knowledge for chemical weather forecasting models and suggests potential priorities for future research directions, for the following selected focus areas: emission inventories, the integration of numerical weather prediction and atmospheric chemical transport models, boundary conditions and nesting of models, data assimilation of the various chemical species, improved understanding and parameterization of physical processes, better evaluation of models against data and the construction of model ensembles.

Notes

Original article can be found at : http://www.atmos-chem-phys-discuss.net/ Published under Creative Commons Attribution 3.0 License.

ID: 176056