SFMR Performance During the 2005 Hurricane Season Peter G. Black and Eric Uhlhorn NOAA/AOML/Hurricane Research Division Allan Goldstein, NOAA/AOC Ivan.

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SFMR Performance During the 2005 Hurricane Season Peter G. Black and Eric Uhlhorn NOAA/AOML/Hurricane Research Division Allan Goldstein, NOAA/AOC Ivan Popstefanija, ProSensing. Inc. and James Carswell, Remote Sensing Solutions, Inc. 60th Interdepartmental Hurricane Conference Mobile, Alabama March 20-24, 2006

2005 SFMR Performance Flown in 9 storms, 7 landfall situations –ArleneCindyDennis –EmilyIreneKatrina –OpheliaRitaWilma 34 total SFMR missions, 23 tasked –16 total, 8 tasked for NOAA42 –18 total, 14 tasked for NOAA43

2005 SFMR Performance (cont’d) SFMR used in 23 advisories, prompted 2 special advisories All cases played decisive role in an important decision on current intensity or estimates of intensity change Especially crucial for landfall intensity estimates for Dennis, Katrina, Rita and Wilma Mentioned prominantly in Katrina, Rita and Ophelia NHC storm reports

SFMR Use Points to Key Deficit Difficult for forecasters to transition from routine AFRC flight level reco data to SFMR surface data, especially in landfall situations like Katrina Extensive use of SFMR in illustrates the urgent need for SFMR installation on WC-130J aircraft as soon as possible- especially critical in current era of enhanced TC activity

SFMR Updates From HRD projects: – 5/sfmr.htmlhttp:// 5/sfmr.html From NHC storm reports: –

Key SFMR Issues Calibration vs. Model Development Averaging Considerations Real-Time Quality Control Future Interpretation Issues

SFMR Calibration Procedure Single “pre-season” laboratory calibration by ProSensing Single “pre-season” airborne ‘calibration adjustment’ of a 0 for in-flight configuration –Flight in weak winds over known surface conditions (U10, SST) from redundant surface observation sources: buoy, GPS sonde, AXBT’s –Adjustment to theoretically-based T B –In practice, should be performed annually

SFMR Model Development Empirically-based wind/emissivity ( T B ) model function Statistical correlation of surface wind estimates with calibrated SFMR measurements –Early model function related emissivity to surface adjusted flight-level winds –Since 2003, related to GPS sonde near-surface winds –Updated 2005 function based on larger data base of GPS near-surface winds New model function corrects previously observed biases (e.g. moderate wind “high bias” & extreme wind “low bias” noted in 2004 data)

Old New Corrects extreme wind Low bias Corrects moderate wind High bias

New SFMR Wind/Emissivity Model Function

200 m Wind Speed ~ 46 m/s 200 m Wind speed ~28m/s Ocean Surface Whitecaps and Foam Streaks in a Hurricane

SFMR measures C-band microwave emission from foam (air bubbles in the ocean) First guess pre-2005: Emissivity a quadratic function of wind speed for all winds new knowledge: Emissivity a quadratic function of wind up to hurricane force only- a linear function for hurricane winds

Hurricane Katrina- SFMR 29 Aug Flat profile: Vmaxsfc=100 kt 28 Aug- Sharply peaked profile Vmaxsfc= 142 kt Red- SFMR sfc wind Black- 700 mb flight level wind Dot- Vmaxsfc NHC method Diamond- Vmaxsfc Press/Wind Square- GPS 10-m estimate Triangle- GPS 10-m measurement Open circle- 700 mb Gradient Wind Blue dashed- Radial wind

Averaging Considerations Model function –All SFMR channels update several times (~3s) over a 10s period –Correlate surface-adjusted WL150 wind speed (avg time = ??) with 10-s average SFMR (frequency-independent) emissivity –Cross-track footprint (22 deg) vs along-track footprint for 10, 30, 60 s avg 110 m/s (220 kt) GS: RA = 330m (1500’): 0.2x1.3 km, 0.2x3.9 km, 0.2x7.8 km RA = 1500m (5000’): 0.6x1.7 km, 0.6x5.1 km, 0.6x 10.2 km RA = 3000m (10000’): 1.3x2.4 km, 1.3x7.2 km, 1.3x14.4 km –Reference: Swell wavelength ~ 200m; local sea ~ 75m –Issue: time required for air parcel at different wind speed to travel across one beamwidth on the surface –OR: time required for foam coverage to respond to changes in the wind –Consideration: since all waves from cm-scale capillaries up to the peak are likely breaking in hurricane conditions, time scale likely small~ minutes??

Averaging Considerations (Cont’d) Real time wind retrieval –Transmitted retrieval averaging tied to data rate in past –Need to be made consistent across all aircraft, i.e. IHC06 Agenda item proposal for 30-s average

Quality Control Basic QC checks –Outlier TB measurements –Aircraft pitch, rolls (> 6 deg) –Over-land measurements (Tb> 270K) External QC –Landmasking –Bathymetry –Improved SST NOAA flight director’s discretion (yes/no decision on data transmission) Many issues are to be addressed by JHT

Other SFMR Issues (for SFMR JHT, YR 2) Bathymetry –SFMR issues in shallow water are still merely anecdotal, theory suggests that winds may be overestimated in ‘surf zone’ where swell breaking in shallow conditions –‘Sheltered’ shallow water (offshore flow, Bahama Banks, Lake Ponchartrain) wind retrievals ‘look good’ –To be addressed by excluding near-coastline “shallow-water” retrievals; extensive shallow-water dropsonde obs –Similar issue with wind/current interactions (no quantitative info), i.e. Gulf Stream, Loop Current boundaries Rain –Has little effect on results at high (> 50 kt) winds, even in extreme rainrates (~ 50 mm/hr) –Weaker winds have tendency to be overestimated in heavy rain (e.g. in an outer rainband) – Issue is due to emissivity-rain model bias

WC-130J SFMR Installation Status Dec., $10.5M supplemental to DoD for SFMR on AFRC WC-130J’s 26 July, first Technical Interchange Meeting (TIM) at Wright-Paterson to define project scope- delivery of first SFMR set for Sept, 2006 Oct., Lockheed (LM) under contract 17 Nov., Second TIM at LM/Dobbins Feb, Air Force purchasing office announces slippage in delivery to Jan, 2007 Mar, ProSensing under subcontract Mar, With NOAA concurrence, G-IV SFMR to LM moves delivery to Nov, 2006 Mar, still no contract for delivery of remaining 9 SFMR units to operational WC-130J’s.