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|Title:||Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone|
|Authors:||IM ULAS; BIANCONI ROBERTO; SOLAZZO EFISIO; KIOUTSIOUKIS IOANNIS; BADIA ALBA; BALZARINI ALESSANDRA; BARO ROCIO; BELLASIO R.; BRUNNER D.; CHEMEL CHARLES; CURCI GABRIELE; FLEMMING JOHANNES; FORKEL R.; GIORDANO LEA; JIMENEZ-GUERRERO PEDRO; HIRTL MARCUS; HODZIC ALMA; HOZNAK LUKA; JORBA ORIOL; KNOTE CHRISTOPH; KUENEN JEROEN; MAKAR PAUL; MANDERS-GROOT ASTRID; NEAL LUCY; PEREZ JUAN L.; PIROVANO G.; POULIOT GEORGE; SAN JOSE ROBERTO; SAVAGE NICHOLAS; SCHRODER WOLFRAM; SOKHI RANJEET S.; SYRAKOV D.; TORIAN ALFREIDA; TUCCELLA PAOLO; WERHAHN J.; WOLKE R.; YAHYA KHARIUNNISA; ZABKAR RAHELA; YANG ZHANG; ZHANG J.; HOGREFE CHRISTIAN; GALMARINI STEFANO|
|Citation:||ATMOSPHERIC ENVIRONMENT vol. 115 p. 404-420|
|Publisher:||PERGAMON-ELSEVIER SCIENCE LTD|
|Type:||Articles in periodicals and books|
|Abstract:||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 75 emissions and boundary conditions. With 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 O3 over the two 78 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 81 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 84 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 specially during winter and autumn whereas during summer local production dominates over regional transport. Daily maximum 8-hour averaged surface ozone levels below 50-60 g m-3 90 are overestimated by all models over both continents while levels over 120-140 g m-3 91 are underestimated, suggesting that models have a tendency to severely under-predict high O3 values that are of concern for air quality forecast and control policy applications.|
|JRC Directorate:||Energy, Transport and Climate|
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