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7th International Workshop on Air Quality Forecasting Research (IWAQFR) - September 1 - 3, 2015 - Washington, DC

September 1 - 3, 2015, NOAA Center for Weather and Climate Prediction
5830 University Research Court, College Park, MD 20740

The goal of the International Workshop on Air Quality Forecasting Research (IWAQFR) is to provide a venue for the discussion of science issues and advancements related to air quality forecasting. Workshop objectives include improving operational air quality forecasts, promoting collaborations among air quality forecasting researchers and practitioners, and nurturing an international air quality forecasting community.

The audiences of the IWAQFR include:

  • Those directly involved in developing operational air quality forecast models;
  • Those involved in research specifically targeted at supporting operational forecasts;
  • Those working to improve predictive capabilities in areas of particular interest to air quality forecasting; and
  • Operational users of air quality forecast models.

Theme Areas

  • Theme 1: Operational Air Quality Forecasting: Progress and Challenges

    Papers are solicited describing recent progress in air quality forecasting efforts, including new forecast domains, unstructured grid and other innovative approaches and products, improved forecast skill, international forecasting programs, and experiences in the challenges of transitioning research to forecasting operations.

  • Theme 2: Emissions Forecasting

    Papers are solicited that discuss the progress, challenge and future of anthropogenic and natural emissions data at regional and global scales, especially those efforts in emissions modeling research that are attempting to use near real-time datasets in a move towards a more dynamic, process-based emissions estimation paradigm.

  • Theme 3: Data Assimilation

    Papers are solicited regarding the integration of real-time in-situ and satellite data for air quality forecasts, retrospective objective analyses, emission inversion, error covariance, and emerging techniques in chemical data assimilation.

  • Theme 4: Evaluation and Post-Processing

    Papers are solicited related to the analysis and post-processing of air quality forecast model results. Of particular interest are bias correction algorithms, model evaluations with data collected from recent intensive field studies as well as in-situ measurements, satellites and other remote sensing platforms, multi-model evaluations, evaluation systems, and near real-time post-processing strategies and techniques.

  • Theme 5: Megacities

    Papers are solicited on research to improve prediction of air quality for megacities, including unique challenges of emissions estimation, operational implementation, urban meteorology, episodic pollution events, meteorological data challenges, and forecast evaluation and verification.

  • Theme 6: Interactions of Meteorological and Air Quality Prediction

    Papers are solicited which focus on describing interactions of meteorological and air quality prediction, including feedbacks from direct and indirect forcing by aerosols, surface layer mixing, the nocturnal boundary layer, mesoscale coastline circulations, katabatic flows downwind of mountain ranges, convective mixing, cloud parameterizations, precipitation scavenging and precipitation forecasting skill as related to PM forecasting.

  • Theme 7: Forecasting and Communicating Impacts

    Papers are solicited on research to improve value added by AQ forecasters, including local forecast methods, techniques and operations, data sources, forecast verification, and case studies. Papers describing research to improve the accuracy and/or usefulness of local air quality forecasting efforts are particularly encouraged.

  • SPECIAL ISSUE: JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

      Participants will be invited to submit journal articles for inclusion in a special issue of JA&WMA dedicated to the air quality forecasting themes of the workshop. For more information contact the workshop organizers.

Modified: June 4, 2015
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