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The ClearSky Field-Burning Decision Support System

This presentation outlines the evolution and current status of the ClearSky Field-Burning Decision Support System, focusing on its sensitivity to wind speed and direction which affects smoke plume predictions. It discusses the implementation of Ensemble Meteorology to address meteorological uncertainties, improvements in terrain resolution, and forecasting methods for fuel management and prescribed burns. The system integrates various atmospheric models to enhance air quality monitoring, and showcases collaborations with NASA’s ROSES program for a comprehensive air quality management approach in the Pacific Northwest.

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The ClearSky Field-Burning Decision Support System

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  1. The ClearSky Field-Burning Decision Support System Joe Vaughan, Charleston Ramos, Brian Lamb Laboratory for Atmospheric Research WSU-Pullman NW-AIRQUEST NASA-ROSES Project Confab April 13, 2007

  2. Outline • ClearWhat? • Original and current system • Ensemble Experiment • Current Directions • ClearSky and NASA-ROSES project

  3. Current ClearSky Domain

  4. Initial ClearSky Evaluation • Rahul Jain’s Findings: • ClearSky is highly sensitive to Wind Speed & Wind Direction • Small differences in Wind Direction determine whether or not smoke plumes are predicted to affect an air quality monitoring station • Recognized a need to represent the uncertainty of the meteorological conditions… Thus arose the idea of using Ensemble Meteorology!

  5. Ensemble ClearSky Implementation IC/BC landuse terrain University of Washington Mesoscale Ensemble System Web-served PM2.5 plume animations PM2.5 emissions from web-based user interface MM5 MM5 MM5 MM5 CALMET 3D met field ----------------- u, v, w, T, BL variables CALPUFF u, v formatted for each layer of CALMET MCIP WSU ClearSky Ensemble System

  6. OCS AVE ETA GFS+ UKMO Observations (OBS), original ClearSky (OCS), and ensemble average (AVE) are shown with the 15 ensemble ClearSky members

  7. Current Research and Operational Product Efforts • Experiments with 1-km domain MM5 to drive ClearSky to get better terrain resolution, for better winds. • Use of a 3-D CALPUFF version to investigate vertical dimension of puff/plumes. • Addition of wind roses for post hoc review of how predicted and observed winds differ by site. • Forecasting orchard tear-out pile burns. • Getting CALMET and CALPUFF running in new rainier system. • Investigation of tech-transfer from IDEQ Emergency Response CALPUFFF system to ClearSky.

  8. NASA ROSES Applied Sciences Program Approach to Integrated System Solutions for A Comprehensive Regional Air-Quality Decision Support System for the Pacific Northwest

  9. 2nd Fire Behavior and Fuels Conference (IAWF & WSU Extension) Several talks on satellite fire detection for prescribed and wild-land fires… and some maps show that agricultural burning is also being picked up.

  10. FIRMS • U MD Geography Dept • Fire Information for Resource Management System

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