Verification of model wind structure and rainfall forecasts for 2008 Atlantic storms

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Verification of model wind structure and rainfall forecasts for 2008 Atlantic storms. HFIP Hurricane Diagnostics and Verification Workshop NHC, Miami, FL 04 May 2009. Tim Marchok NOAA / GFDL. Collaborators: Rob Rogers (NOAA / AOML / HRD) Bob Tuleya (NCEP/EMC & Old Dominion Univ.) - PowerPoint PPT Presentation

Transcript of Verification of model wind structure and rainfall forecasts for 2008 Atlantic storms

Verification of model wind structure and rainfall forecasts for 2008 Atlantic storms

Tim MarchokNOAA / GFDL

Collaborators: Rob Rogers (NOAA / AOML / HRD)

Bob Tuleya (NCEP/EMC & Old Dominion Univ.)

Mark Powell (NOAA / AOML / HRD)

HFIP Hurricane Diagnostics and

Verification Workshop

NHC, Miami, FL

04 May 2009

Motivation

• Inland flooding from TC rainfall accounts for a significant percentage of deaths from U.S. landfalling TCs.

• Storm size / structure has a major impact on the amount of damage at landfall.

…both aspects have only recently begun to receive attention in terms of model evaluation

Outline

• Rainfall validation & techniques

• Application of TC QPF validation techniques to 2008 U.S. landfalling storms

• Development of model wind structure validation techniques

• Application of wind structure validation techniques to 2008 Atlantic TCs

• Rainfall patterns

• Rainfall mean & volume

• Extreme amounts

Rainfall validation: What to focus on?

The TC track: An anchor for QPF validation

GFDL

NAMGFSR-CLIPER

HWRFStage IV

Example: Hurricane Gustav 72-h total rainfall

2008 Landfalling Storms

Rainfall Patterns

20052008Equitable Threat Scores

Pattern Correlations: GFS (r = 0.78)

HWRF (r = 0.60)

GFDL (r = 0.53)

NAM (r = 0.52)

R-CLIPER (r = 0.51)

(2008)

Mean Rainfall

Rainfall volume

2008 2005

Comparison of rain volume bias by model

2008 Landfalling Storms

50% level

Difference between obs

rain value and fcst rain value at 50% level determines

index

Track-relative rain flux analyses

Rain volume: Rain flux in select bands

0–100 km

300-400 km

GFDL, HWRF GFS, NAM

Skill Indices: Pattern Matching

Pattern Matching (2005)

0.44

0.48

0.71

0.59

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

GFDL

2008 2005

• GFS performs the best in both samples

• All models have skill relative to R-CLIPER

Pattern Matching (2008)

0.40

0.48

0.78

0.52

0.50

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

HWRF

GFDL

Skill Indices: Mean / Volume

Volume (2005)

0.72

0.75

0.68

0.72

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

GFDL

2008 2005

Mean / Volume (2008)

0.36

0.80

0.79

0.32

0.70

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

HWRF

GFDL

Skill Indices: Extreme Amounts

Extreme Amounts (2005)

0.62

0.76

0.77

0.57

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

GFDL

2008 2005

• GFDL overforecasts the large amounts, HWRF underforecasts them, resulting in comparable indices

• GFS performs best despite lowest resolution

Extreme Amounts (2008)

0

0.56

0.82

0.62

0.61

0 0.2 0.4 0.6 0.8 1

RCLIP

NAM

GFS

HWRF

GFDL

Rainfall Summary

• Validation techniques address unique TC rainfall attributes:Pattern matchingRainfall volumeExtreme amounts

• TC QPF skill indices for operational forecast evaluation

• GFS most skillful in 2008 (similar to 2005)

Outline

• Rainfall validation & techniques

• Application of TC QPF validation techniques to 2008 U.S. landfalling storms

• Development of model wind structure validation techniques

• Application of wind structure validation techniques to 2008 Atlantic TCs

The importance of near-surface wind structure

Area_TSKatrina

Area_TSCharley

= Factor of 9

Focus is on continuous / homogeneous methods

• Distribution of WindsFractional areal coveragePDFs of the winds

• Radial StructureEarth-relative profilesStorm motion-relative profilesRadius of max winds

• Storm Destructive Potential IKE, SDP, WDP (Powell and Reinhold

2007)

• Others?

Cases included in study…

Distribution: Fractional Areal Coverage (34-kt winds)

Storm- sample

average at tau=00h

NW

SW SE

NE

Distribution: Fractional Areal Coverage (34-kt winds)

Storm- sample

average at tau=48h

NW

SW SE

NE

Distribution: Fractional Areal Coverage (64-kt winds)

Storm- sample

average at tau=00h

NW

SW SE

NE

Distribution: Fractional Areal Coverage (64-kt winds)

Storm- sample

average at tau=48h

NW

SW SE

NE

Radial profiles of the wind (all cases)

NW

SW SE

NE

Tau= 00h

Radial profiles of the wind (all cases)

NW

SW SE

NE

Tau= 48h

Radial profiles of the wind (Hurricanes only)

NW

SW SE

NE

Tau= 00h

Radial profiles of the wind (Hurricanes only)

NW

SW SE

NE

Tau= 48h

Radius of Maximum Winds

Forecasts of Integrated Kinetic Energy

GFDL Ike Intensity Forecasts HWRF Ike Intensity Forecasts

Max

Win

d (k

ts)

Max

Win

d (k

ts)

IKE

(T

J)

IKE

(T

J)

GFDL Ike IKE (V>18 m/s) Forecasts HWRF Ike IKE (V>18 m/s) Forecasts

Forecasts of Integrated Kinetic Energy

Wind Structure Summary

• Methods complementary to wind radii validation

• Focus on various aspects of wind fieldDistributionRadial structure IKE / Storm destructive potentialOthers…?

• Some biases already evident