Abstract
Within the EU-FP7 project PASODOBLE five AIRSHED services have been developed to bridge the gap between the GMES core atmospheric service at coarse resolution and the PASODOBLE regional/local/urban downstream services at high resolution. For these Airsheds regional air quality forecasts and analysis are produced at a horizontal resolution of 5–10 km. Within this presentation we will present the PASODOBLE Airsheds focusing on the issues encountered while developing the systems.
The nesting within the European ensemble forecasts from the core atmospheric service poses a problem due to timing and lack of available information in the ensemble forecasts. Recommendations for the ensemble forecasts have been made to include more components and the timing issue will be solved by the delivery of 96 h instead of 72 h ensemble forecasts. The data assimilation of observations to improve the forecasts forms another issue due to time consuming calculations and lack of timely observations.
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Acknowledgment
The work described here was carried out with support of the European Commission, within the FP7 project PASODOBLE.
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Questions and Answers
Questioner Name: Stijn Janssen
Q: What is the impact of the fact that the ensemble mean is not in chemical equilibrium when it is used as boundary conditions in LOTOS-EUROS?
A: This can definitely be an issue when using boundary conditions coming from an ensemble of models. However, the issue about the lack of species and height layers present in the ensemble causes such large deviations in most cases that the chemical equilibrium issue is less important at the moment. If more species become available from the ensemble, this might become an issue, but to what extent is hard to say and would need to be investigated.
Questioner Name: Amir Hakami
Q: Have you tested whether a simplified but less expensive model would result in deteriorated forecasts?
A: No, we haven’t. However, from the model intercomparison that is planned for later this year, we might get some clues about which processes are the most important and which can be modelled in less detail while retaining good-quality forecasts.
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Hendriks, C. et al. (2014). PASODOBLE AIRSHEDS: Regional Operational Air Quality Forecasts to Bridge the Gap Between Continental Scale and Local/Urban Scale Services. 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_31
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DOI: https://doi.org/10.1007/978-94-007-5577-2_31
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