Title: The Use of Remotely Sensed Ocean Surface Winds at the NOAA Ocean Prediction Center
1The Use of Remotely Sensed Ocean Surface Winds
at the NOAA Ocean Prediction Center
- Joe Sienkiewicz, Joan Von Ahn1, Greg McFadden2
Outline 1. QuikSCAT impact on
operations 2. SST impacts on winds 3. Hurricane
Force Extratropicals 4. Sea-level pressure
retrievals 5. Ongoing evaluations QuikSCAT WindS
at 6. Summary
1 STG, Inc 2 SAIC
2NOAA Forecast Responsibility
High Seas Wind Warning Categories GALE
34-47 knots Force 8/9 STORM 48-63 knots
Force 10/11 HURRICANE FORCE - gt64
knots Force 12
3QuikSCAT impact on operations
QuikSCAT wide swath 2 passes per day
consistency large wind range Cultural change
revolutionized analysis and forecast
process more wind warnings, increased
accuracy differentiate between warning
categories focus on Hurricane Force
conditions SST gradients on surface winds
SLP retrievals improve analyses Lesson
learned - Success due to timely availability in
forecaster workstations
4SST impact on winds
GOES SST Composite
5SST impact on winds
GOES Magnitude of SST Gradient QuikSCAT 25 km
wind speeds
6SST impact on winds
GOES Magnitude of SST Gradient QuikSCAT GFS 10
wind speed difference (knots)
7SST impact on winds
GOES Magnitude of SST Gradient 30 day wind
speed bias (knots) slightly stable PBL
8SST impact on winds
GOES Magnitude of SST Gradient 30 day wind
speed bias (knots) slightly unstable PBL
9Hurricane Force Extratropicals
1012.5 km resolution QuikSCAT became available
5 Year total Atlantic 134 Pacific 126
11LOW GALE STORMHURCN FORCE
Atlantic Tracks 2005-06
12LOW GALE STORMHURCN FORCE
Pacific Tracks 2005-06
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1466 75
0
15Composite of maximum winds (knots)
HF FORCE STORM GALE
300nm 200nm 100nm
300nm 200nm 100nm
North Atlantic North Pacific 11 QuikSCAT
passes 32 QuikSCAT passes
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17SLP Retrievals
- QuikSCAT Winds
- University of Washington PBL Model
- Calculates Pressure Gradient
- Seed with Observations (mean SLP)
- SLP
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21Quikscat Evaluation
QuikSCAT Old Rain Flag
22Quikscat Evaluation
QuikSCAT New Rain Flag
23Quikscat Evaluation
QuikSCAT Old Wind Speeds
24Quikscat Evaluation
QuikSCAT New Wind Speeds
25WindSat Evaluation
26WindSat Evaluation
Interpolated to grid Wind Speed Wind
Direction Cloud Liquid Water Total Precip
Water Rain Rate SST
WindSat WS Filled Contours QuikSCAT Wind Barbs
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28WindSat Evaluation
Interpolated to grid Wind Speed Wind
Direction Cloud Liquid Water Total Precip
Water Rain Rate SST
29WindSat Evaluation
Interpolated to grid Wind Speed Wind
Direction Cloud Liquid Water Total Precip
Water Rain Rate SST
30WindSat Evaluation
Interpolated to grid Wind Speed Wind
Direction Cloud Liquid Water Total Precip
Water Rain Rate SST
31WindSat Wind Speed CLW QuikSCAT Wind barbs
Equatorial Atlantic
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34E of Newfoundland
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39Summary - Remotely Sensed Surface Winds
- Integral part of analysis and warning process
- Revolutionized operations
- QuikSCAT
- differentiate between warning categories
- SST influences
- Consistency
- Rain contamination
- SLP Retrievals extends applicability
- QuikSCAT changes
- Positive
- WindSat
- Additional EDRs crucial
- Sensitivity to Cloud Liquid Water Low threshold
(overestimate WS) - High CLW underestimate WS
- Lacks consistency(warning criteria)
- Still evaluating have not introduced to
forecasters - Paper Operational Impact of QuikSCAT Winds at
the NOAA Ocean Prediction Center Von Ahn et al.
2006 next issue Weather and Forecasting