12
Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Embed Size (px)

Citation preview

Page 1: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Analysis of Model Forecasts of Significant Cold Fronts

Using MOS Output

Steve Amburn, SOOWFO Tulsa, Oklahoma

Page 2: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

The Question

• Does a model bias exist when significant cold fronts move through eastern Oklahoma?

• Forecasters say yes.– Too cool ahead of the front– Too warm behind the front

Page 3: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Method

• Define significant front (~15°F delta)• Select the frontal cases (over 30)

• Use proxies for model data– MAV and MET MOS for periods 1-5– MEX MOS and ECMWF output for periods 6-13

• Compute applicable statistics

Page 4: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Data• Time period: Oct 2007 through Feb 2009• Periods 1-5 = 38 Significant Fronts• Periods 6-13 = 35 Significant Fronts• Significant = high temp change ≥ 15°F – Day before to day after frontal passage

• MOS data examined • GFS MOS (MAV and MEX)• NAM MOS (MET)• ECMWF (3-hourly max/min output)

Page 5: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

# Mean Absolute Errors (Pds 1-5)

Page 6: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Count of Pos/Neg Errors (Pds 1-5)

Page 7: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

# Mean Absolute Errors (pds 6-13)

Page 8: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Count of Pos/Neg Errors (pds 6-13)

Page 9: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Statistics for Periods 1-5

• MAV/GFS– Pre-frontal

• Avg bias = -5.31°F• MAE = 6.12°F• # errors to warm = 20• # errors too cool = 164

– Post-frontal• Avg bias = 4.62°F• MAE

= 5.07°F• # errors to warm = 160• # errors too cool = 19

• MET/NAM– Pre-frontal

• Avg bias = -4.42°F• MAE = 5.15°F• # errors to warm = 35• # errors too cool = 150

– Post-frontal• Avg bias = 2.97°F• MAE

= 3.95°F• # errors to warm = 137• # errors too cool = 34

Page 10: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Statistics for Periods 6-13

• MEX/GFS– Pre-frontal

• Avg bias = -9.32°F• MAE = 10.05°F• # errors to warm = 21• # errors too cool = 256

– Post-frontal• Avg bias = 7.29°F• MAE =

8.03°F• # errors to warm = 240• # errors too cool = 27

• ECMWF– Pre-frontal

• Avg bias = -8.66°F• MAE = 9.70°F• # errors to warm = 24• # errors too cool = 248

– Post-frontal• Avg bias = 0.89°F• MAE

= 6.04°F• # errors to warm = 128• # errors too cool = 131

Page 11: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Summary for Significant Fronts

• GFS and MET for Periods 1-5– Both have significant cool bias ahead of fronts– Both have significant warm bias behind fronts

• GFS and ECMWF for Periods 6-13– Both have significant cool bias ahead of fronts– GFS has significant warm bias behind fronts– ECMWF showed almost no bias behind fronts

Page 12: Analysis of Model Forecasts of Significant Cold Fronts Using MOS Output Steve Amburn, SOO WFO Tulsa, Oklahoma

Analysis of Model Forecasts of Significant Cold Fronts

Using MOS Output

Steve Amburn, SOOWFO Tulsa, Oklahoma

918-832-4115