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  • Dominik W. Brunner
  • Nick H. Savage
  • Oriol Jorba
  • Brian K. Eder
  • Lea Giordano
  • Alba Badia
  • Alessandra Balzarini
  • Rocío Baró
  • Roberto Bianconi
  • C. Chemel
  • Gabriele Curci
  • Renate Forkel
  • Pedro Jiménez-Guerrero
  • Marcus Hirtl
  • Alma Hodzic
  • Luka Honzak
  • Ulas Im
  • Christoph Knote
  • Paul A. Makar
  • Astrid Manders-Groot
  • Erik Van Meijgaard
  • Lucy S. Neal
  • Juan Luis Canovas Pérez
  • Guido Pirovano
  • Roberto San José
  • Wolfram Schro¨der
  • Dimiter E. Syrakov
  • Alfreida Torian
  • Paolo Tuccella
  • Johannes Werhahn
  • Ralf Wolke
  • Khairunnisa Yahya
  • Rahela Žabkar
  • Yang Zhang
  • Christian Hogrefe
  • Stefano Galmarini
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Original languageEnglish
Pages (from-to)470-498
JournalAtmospheric Environment
Volume115
Early online date15 Dec 2014
DOIs
Publication statusPublished - Aug 2015

Abstract

Air pollution simulations critically depend on the quality of the underlying meteorology. In phase 2 of the Air Quality Model Evaluation International Initiative (AQMEII-2), thirteen modeling groups from Europe and four groups from North America operating eight different regional coupled chemistry and meteorology models participated in a coordinated model evaluation exercise. Each group simulated the year 2010 for a domain covering either Europe or North America or both. Here were present an operational analysis of model performance with respect to key meteorological variables relevant for atmospheric chemistry processes and air quality. These parameters include temperature and wind speed at the surface and in the vertical profile, incoming solar radiation at the ground, precipitation, and planetary boundary layer heights. A similar analysis was performed during AQMEII phase 1 (Vautard etal., 2012) for offline air quality models not directly coupled to the meteorological model core as the model systems investigated here. Similar to phase 1, we found significant overpredictions of 10-m wind speeds by most models, more pronounced during night than during daytime. The seasonal evolution of temperature was well captured with monthly mean biases below 2K over all domains. Solar incoming radiation, precipitation and PBL heights, on the other hand, showed significant spread between models and observations suggesting that major challenges still remain in the simulation of meteorological parameters relevant for air quality and for chemistry-climate interactions at the regional scale.

Notes

Date of Acceptance: 12/12/2014 Copyright The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)

ID: 7996477