Abstract
The LIFE + Environmental Policy & Governance project ATMOSYS has the objective to implement an advanced and comprehensive air quality modeling system as a web-based service used by policy makers. The ATMOSYS system is based on advanced technology, including prognostic 3-D atmospheric computer models, data assimilation techniques, CFD modeling, and on results from recent and on-going national and European research projects. Its comprehensive character resides in the multiple scales and scale interactions covered by the system and in a coherent approach for forecasts, assessments, and scenario studies alike.
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References
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This research has been supported by the LIFE + programme of the European Commission.
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Questioner Name: Sarav Arunachalam
Q: At the local scales, you are only considering NO2-O3 chemistry, and not PM (aerosols). Was that an intentional omission, or do you plan to incorporate that later?
A: This is a correct observation. For the moment the aerosol chemistry is only included in the AURORA model to account for PM formation at the urban and regional scales. At the local scale the ENVI-Met model simulates the fate of PM10, PM2.5 and EC as tracers. However, the ENVI-Met chemistry model has been extended with a detailed aerosol (UFP) model at the local scale. At the moment it is extensively tested validated.
Questioner Name: Kiran Alapaty
Q: Have action 11 such that evaluation results are available to action 1 audience and policy makers in a digestible language / format / wordings.
A: Thank you for this suggestion. Since many of the policy makers are on board as project partners, constant feedback is given throughout the project. This also includes more formal evaluation sessions for a broader audience of policy makers. It is indeed a very important aspect of the project as you have pointed out.
Q: For CFD gas phase chemistry GCM’s have several simplified packages.
A: This might indeed be useful. However, the relevant time scales might be very different for chemistry at the local scale. Therefore one should be careful in just copying chemistry modules from other models. We look for fast chemistry modules that represent the (fast) local chemistry correctly. Besides we think that a thorough validation and careful testing is needed before implementing the system in a policy context.
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Mensink, C., Blyth, L., De Ridder, K., Lefebvre, W., Veldeman, N., Viaene, P. (2014). ATMOSYS: A Policy Support System for Atmospheric Pollution Hot Spots. In: Steyn, D., Builtjes, P., Timmermans, R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5577-2_57
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DOI: https://doi.org/10.1007/978-94-007-5577-2_57
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