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Improving Cost Effective Air Improving Cost Effective Air Quality Forecasting Quality Forecasting UPDATE 10/02/2008: UPDATE 10/02/2008: New Categorical Metrics (Kang 2007) New Categorical Metrics (Kang 2007) Interpretation of new metrics Interpretation of new metrics Use in AQ model evaluation Use in AQ model evaluation Direct applications to cost-effective AQ Direct applications to cost-effective AQ forecasting forecasting

Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

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Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:. New Categorical Metrics (Kang 2007) Interpretation of new metrics Use in AQ model evaluation Direct applications to cost-effective AQ forecasting. Review. Project Goals Minimize money spent due to incorrect forecasts - PowerPoint PPT Presentation

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Page 1: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

Improving Cost Effective Air Improving Cost Effective Air Quality ForecastingQuality Forecasting

UPDATE 10/02/2008:UPDATE 10/02/2008:

•New Categorical Metrics (Kang 2007)New Categorical Metrics (Kang 2007)–Interpretation of new metricsInterpretation of new metrics–Use in AQ model evaluationUse in AQ model evaluation–Direct applications to cost-effective AQ Direct applications to cost-effective AQ forecastingforecasting

Page 2: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

ReviewReview

• Project GoalsProject Goals– Minimize money spent due to incorrect forecastsMinimize money spent due to incorrect forecasts

• MD/VA Free ride programMD/VA Free ride program– VA cost per day VA cost per day $120,000 $120,000– MDOT cost per day MDOT cost per day $35,000 - $40,000 $35,000 - $40,000

• National Air Quality Forecasting System National Air Quality Forecasting System (NAQFS) Updates(NAQFS) Updates– Domain, Surface parameters, canopy uptakeDomain, Surface parameters, canopy uptake

• Methods of Model EvaluationMethods of Model Evaluation– Discrete (RMSE, N/MB, N/ME, r)Discrete (RMSE, N/MB, N/ME, r)– Categorical (A, B, FAR, CSI)Categorical (A, B, FAR, CSI)– New Categorical (WSI, aH, aFAR) New Categorical (WSI, aH, aFAR) Kang 2007) Kang 2007)

Page 3: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

Traditional Categorical MetricsTraditional Categorical Metrics

• Categorical EvaluationCategorical Evaluation– Ozone threshold exceeded?Ozone threshold exceeded?– Was it forecasted to exceed?Was it forecasted to exceed?

Forecast Forecast

ThresholdThreshold

a a MISSMISS HIGH HIGH

b b HITHIT HIGH HIGH

c c HITHIT LOW LOW

d d MISSMISS LOW LOW

Page 4: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

Traditional Categorical MetricsTraditional Categorical Metrics

Page 5: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

New Categorical Metrics (Kang 2007)New Categorical Metrics (Kang 2007)

• WSI WSI Weighted Weighted Severity IndexSeverity Index– Like CSI, only it Like CSI, only it

includes (to a includes (to a degree) near hitsdegree) near hits

Page 6: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

New Categorical Metrics (Kang 2007)New Categorical Metrics (Kang 2007)

• Modeled vs. Observed O3Modeled vs. Observed O3• Area Hits (aH) and aFAR (Area False Alarm Rate) Area Hits (aH) and aFAR (Area False Alarm Rate)

account for spatial near-hitsaccount for spatial near-hits

Page 7: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

New Categorical Metrics (Kang 2007)New Categorical Metrics (Kang 2007)

• Use 3x3 or 5x5 grid spaces to account for areaUse 3x3 or 5x5 grid spaces to account for area• Adjust the Hit forecast (b/b+d) to include the area Adjust the Hit forecast (b/b+d) to include the area

and not just the point…Same for FAR.and not just the point…Same for FAR.

Page 8: Improving Cost Effective Air Quality Forecasting UPDATE 10/02/2008:

Application to cost-effective AQ Application to cost-effective AQ forecastingforecasting

• Area forecasts are typical in operational Area forecasts are typical in operational

forecastsforecasts

– Warn an area, not a pointWarn an area, not a point

– aH and aFAR account for these!aH and aFAR account for these!

• Assign a percent chance of missed Assign a percent chance of missed

forecast using WSI?forecast using WSI?

• Decide minimum forecast value that Decide minimum forecast value that

statistically produces the best likelihood of statistically produces the best likelihood of

an exceedance?an exceedance?