TY - JOUR
T1 - Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I
T2 - Ozone
AU - Im, Ulas
AU - Bianconi, Roberto
AU - Solazzo, Efisio
AU - Kioutsioukis, Ioannis
AU - Badia, Alba
AU - Balzarini, Alessandra
AU - Baró, Rocío
AU - Bellasio, Roberto
AU - Brunner, Dominik
AU - Chemel, Charles
AU - Curci, Gabriele
AU - Flemming, Johannes
AU - Forkel, Renate
AU - Giordano, Lea
AU - Jiménez-Guerrero, Pedro
AU - Hirtl, Marcus
AU - Hodzic, Alma
AU - Honzak, Luka
AU - Jorba, Oriol
AU - Knote, Christoph
AU - Kuenen, Jeroen J.P.
AU - Makar, Paul A.
AU - Manders-Groot, Astrid
AU - Neal, Lucy
AU - Pérez, Juan L.
AU - Pirovano, Guido
AU - Pouliot, George
AU - San Jose, Roberto
AU - Savage, Nicholas
AU - Schroder, Wolfram
AU - Sokhi, Ranjeet S.
AU - Syrakov, Dimiter
AU - Torian, Alfreida
AU - Tuccella, Paolo
AU - Werhahn, Johannes
AU - Wolke, Ralf
AU - Yahya, Khairunnisa
AU - Zabkar, Rahela
AU - Zhang, Yang
AU - Zhang, Junhua
AU - Hogrefe, Christian
AU - Galmarini, Stefano
N1 - Funding Information:
We gratefully acknowledge the contribution of various groups to the second air Quality Model Evaluation international Initiative (AQMEII) activity: U.S. EPA, Environment Canada, Mexican Secretariat of the Environment and Natural Resources (Secretaría de Medio Ambiente y Recursos Naturales-SEMARNAT) and National Institute of Ecology (Instituto Nacional de Ecología-INE) (North American national emissions inventories); U.S. EPA (North American emissions processing); TNO (European emissions processing); ECMWF/MACC project & Météo-France/CNRM-GAME (Chemical boundary conditions). Ambient North American concentration measurements were extracted from Environment Canada's National Atmospheric Chemistry Database (NAtChem) PM database and provided by several U.S. and Canadian agencies (AQS, CAPMoN, CASTNet, IMPROVE, NAPS, SEARCH and STN networks); North American precipitation-chemistry measurements were extracted from NAtChem's precipitation-chemistry database and were provided by several U.S. and Canadian agencies (CAPMoN, NADP, NBPMN, NSPSN, and REPQ networks); the WMO World Ozone and Ultraviolet Data Centre (WOUDC) and its data-contributing agencies provided North American and European ozonesonde profiles; NASA's AErosol RObotic NETwork (AeroNet) and its data-contributing agencies provided North American and European AOD measurements; the MOZAIC Data Centre and its contributing airlines provided North American and European aircraft takeoff and landing vertical profiles; for European air quality data the following data centers were used: EMEP European Environment Agency/European Topic Center on Air and Climate Change/AirBase provided European air- and precipitation-chemistry data. The Finish Meteorological Institute is acknowledged for providing biomass burning emission data for Europe. Data from meteorological station monitoring networks were provided by NOAA and Environment Canada (for the US and Canadian meteorological network data) and the National Center for Atmospheric Research (NCAR) data support section. Joint Research Center Ispra/Institute for Environment and Sustainability provided its ENSEMBLE system for model output harmonization and analyses and evaluation. The co-ordination and support of the European contribution through COST Action ES1004 EuMetChem is gratefully acknowledged. The views expressed here are those of the authors and do not necessarily reflect the views and policies of the U.S. Environmental Protection Agency (EPA) or any other organization participating in the AQMEII project. This paper has been subjected to EPA review and approved for publication. C. Knote was supported by the DOE grant DE-SC0006711 . The UPM authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the Centro de Supercomputación y Visualización de Madrid (CESVIMA) and the Spanish Supercomputing Network (BSC). G. Curci and P. Tuccella were supported by the Italian Space Agency (ASI) in the frame of PRIMES project (contract n. I/017/11/0 ). The Centre of Excellence for Space Sciences and Technologies SPACE-SI is an operation partly financed by the European Union , European Regional Development Fund and Republic of Slovenia, Ministry of Higher Education, Science, Sport and Culture (grant no OP13.1.1.2.02.0004 ). Y. Zhang acknowledges funding support from the NSF Earth System Program ( AGS-1049200 ) and high-performance computing support from Yellowstone by NCAR's Computational and Information Systems Laboratory , sponsored by the National Science Foundation and Stampede , provided as an Extreme Science and Engineering Discovery Environment (XSEDE) digital service by the Texas Advanced Computing Center (TACC). The technical assistance of Bert van Ulft (KNMI) and Arjo Segers (TNO) in producing the results of the RACMO2-LOTOS-EUROS system is gratefully acknowledged. L. Giordano was supported by the Swiss SERI COST project (grant no C11.0144 . The UMU group acknowledges the funding from the project CGL2013-48491-R , Spanish Ministry of Economy and Competitiveness .
Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - The second phase of the Air Quality Model Evaluation International Initiative (AQMEII) brought together sixteen modeling groups from Europe and North America, running eight operational online-coupled air quality models over Europe and North America on common emissions and boundary conditions. With the advent of online-coupled models providing new capability to quantify the effects of feedback processes, the main aim of this study is to compare the response of coupled air quality models to simulate levels of O3over the two continental regions. The simulated annual, seasonal, continental and sub-regional ozone surface concentrations and vertical profiles for the year 2010 have been evaluated against a large observational database from different measurement networks operating in Europe and North America. Results show a general model underestimation of the annual surface ozone levels over both continents reaching up to 18% over Europe and 22% over North America. The observed temporal variations are successfully reproduced with correlation coefficients larger than 0.8. Results clearly show that the simulated levels highly depend on the meteorological and chemical configurations used in the models, even within the same modeling system. The seasonal and sub-regional analyses show the models' tendency to overestimate surface ozone in all regions during autumn and underestimate in winter. Boundary conditions strongly influence ozone predictions especially during winter and autumn, whereas during summer local production dominates over regional transport. Daily maximum 8-h averaged surface ozone levels below 50-60 μg m-3are overestimated by all models over both continents while levels over 120-140 μg m-3are underestimated, suggesting that models have a tendency to severely under-predict high O3values that are of concern for air quality forecast and control policy applications.
AB - The second phase of the Air Quality Model Evaluation International Initiative (AQMEII) brought together sixteen modeling groups from Europe and North America, running eight operational online-coupled air quality models over Europe and North America on common emissions and boundary conditions. With the advent of online-coupled models providing new capability to quantify the effects of feedback processes, the main aim of this study is to compare the response of coupled air quality models to simulate levels of O3over the two continental regions. The simulated annual, seasonal, continental and sub-regional ozone surface concentrations and vertical profiles for the year 2010 have been evaluated against a large observational database from different measurement networks operating in Europe and North America. Results show a general model underestimation of the annual surface ozone levels over both continents reaching up to 18% over Europe and 22% over North America. The observed temporal variations are successfully reproduced with correlation coefficients larger than 0.8. Results clearly show that the simulated levels highly depend on the meteorological and chemical configurations used in the models, even within the same modeling system. The seasonal and sub-regional analyses show the models' tendency to overestimate surface ozone in all regions during autumn and underestimate in winter. Boundary conditions strongly influence ozone predictions especially during winter and autumn, whereas during summer local production dominates over regional transport. Daily maximum 8-h averaged surface ozone levels below 50-60 μg m-3are overestimated by all models over both continents while levels over 120-140 μg m-3are underestimated, suggesting that models have a tendency to severely under-predict high O3values that are of concern for air quality forecast and control policy applications.
KW - AQMEII
KW - Europe
KW - North america
KW - On-line coupled models
KW - Ozone
KW - Performance analysis
UR - https://www.scopus.com/pages/publications/84988289227
U2 - 10.1016/j.atmosenv.2014.09.042
DO - 10.1016/j.atmosenv.2014.09.042
M3 - Article
AN - SCOPUS:84988289227
SN - 1352-2310
VL - 115
SP - 404
EP - 420
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -