Journal
ATMOSPHERIC ENVIRONMENT
Volume 115, Issue -, Pages 470-498Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2014.12.032
Keywords
Online-coupled meteorology-chemistry modeling; Model evaluation; Meteorology; AQMEII phase 2
Funding
- European groups through COST Action [ES1004 EuMetChem]
- Swiss State Secretariat for Education, Research and Innovation [C11.0144]
- Severo Ochoa Program - Spanish Government [SEV-2011-00067]
- Centre of Excellence for Space Sciences and Technologies SPACE-SI - EU
- European Regional Development Fund
- Republic of Slovenia, Ministry of Higher Education, Science, Sport and Culture
- NSF Earth System Program [AGS-1049200]
- National Science Foundation
- Stampede
- TRANS-PHORM (FP7 project) [243406]
- ClearFlo (NERC)
- Italian Space Agency (ASI) [I/017/11/0]
- Spanish Ministry of Economy and Competitiveness [CGL2013-48491-R]
- NERC [ncas10003] Funding Source: UKRI
- Div Atmospheric & Geospace Sciences
- Directorate For Geosciences [1049200] Funding Source: National Science Foundation
- Natural Environment Research Council [ncas10003] Funding Source: researchfish
Ask authors/readers for more resources
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 et al., 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 2 K 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. (C) 2014 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/).
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