Tropical Cyclone Intensity Estimation Using Advanced Microwave Sounding Unit (AMSU)
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Transcript of Tropical Cyclone Intensity Estimation Using Advanced Microwave Sounding Unit (AMSU)
Tropical Cyclone Intensity Estimation UsingAdvanced Microwave Sounding Unit (AMSU)
Derrick HerndonUW-Madison CIMSS
Mark DeMariaNOAA/NESDIS/CIRA
Kurt F. Brueske, Major, USAFUnited States Air Force Academy Department of Physics
Chris VeldenUW-Madison CIMSS
John KnaffColorado Institute for Research in the Atmosphere (CIRA)
Tropical Cyclone Intensity Estimation Using NOAA-KLM SeriesAdvanced Microwave Sounding Unit (AMSU)
Warm Core Observations
• MSLP estimates derived from AMSU-A radiances - Provides measure of upper level warm anomaly magnitude - Channels 7 and 8 located at average ht of anomaly (150-250mb) - Anomaly strength directly related to intensity
929hPaHurricane Inez 1966 Hurricane Floyd 1999
• AMSU flown aboard NOAA 15, 16 and 17 as well as Aqua - 6 estimates per day (2 more with Aqua)
CIRA AMSU Tropical Cyclone Algorithm
V(r,Sample r/z tangential windcross-section from AMSUretrieval (steps 1-4)
1. Retrieve T(x,y,z) from all AMSU-A channels2. Correct T for rain and ice effects3. Hydrostatic integration for P(x,y,z) 4. Gradient wind for V(r,z)5. Statistical Prediction Independent Variables: Parameters from retrieved T, P, V Dependent Variables: Max Wind (Vmax) Min Sea-Level Pressure (MSLP) Azimuthally averaged radii of 34, 50, 64 kt winds (r34, r50, r64)6. Fit parametric wind model to r34, r50, r64 and storm speed to get asymmetric radii
2002 Real-Time Test • Algorithm developed from 1999-2001 Sample • 2002 Real-Time Runs
– Initiated at 00, 06, 12, 18 UTC– Storm positions from ATCF– Analysis restricted to storms within 700 km of AMSU data swath– Results sent to TPC via ftp
• Evaluation Samples– 1999-2001 Developmental cases (N=473)– 2002 All Atlantic/East Pacific cases (N=288)– 2002 Atlantic/East Pacific cases with recon (N=64)
• Ground “Truth” for Evaluation– NHC Best Track Vmax and MSLP– NHC Forecast/Advisory for wind radii
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0 20 40 60 80 100 120 140
AMSU Estimate Vmax (kt)
Obs
erve
d (k
t)
All Cases (n=288) Recon cases (n=64)
910
930
950
970
990
1010
910 930 950 970 990 1010
AMSU Estimate MSLP (hPa)
Obs
erve
d (h
Pa)
All Cases (n=288) Recon Cases (n=64)
0
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0 10 20 30 40 50 60 70 80
Predicted R64 (nmi)O
bser
ved
R64
(nm
i)
2002 ALL2002 RECON
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0 20 40 60 80 100 120 140 160
Predicted R50 (nmi)
Obs
erve
d R
50 (n
mi)
2002 ALL2002 RECON
0
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0 50 100 150 200 250 300 350
Predicted R34 (nmi)
Obs
erve
d R
34 (n
mi)
2002 ALL2002 RECON
Predicted vs. “Observed” Scatter Plots for 2002 Real-Time Runs(Total and Recon-Only Samples)
Vmax MSLP
R34 R50 R64
Error Summary for CIRA Algorithm:Developmental, 2002 All and 2002 Recon
Samples
Wind Radii Mean Absolute Error (nmi)
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2025
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Mea
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solu
te E
rror
(nm
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Vmax and MSLP Mean Absolute Error
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Vmax 199
9-200
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Vmax 200
2 All
Vmax 200
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MSLP D
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MSLP 20
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MSLP 20
02 Rec
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VMAX
or M
SLP
Erro
r (kt
or h
Pa)
Vmax and MSLP Variance Explained
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Vmax 199
9-200
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Vmax 200
2 All
Vmax 200
2 Reco
n
MSLP 19
99-2001
MSLP 20
02 All
MSLP 20
02 Rec
on
R2 (%
)
Wind Radii Variance Explained
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R2 (%
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Absolute Error Variance Explained
Vmaxand
MSLP
R34R50R64
Vmax MSLP Vmax MSLP
R34 R50 R64 R34 R50 R64
CIMSS AMSU Tropical Cyclone Algorithm
• Statistical Method Based on 1999-2001 regression against recon obs - Linear fit (R2 = 0.82)
• Independent estimates in 2002 comparable to Dvorak technique
• ATCF message provides RMW (Used as a proxy for anomaly size)
• Improved logic accounts for anomaly height, sub-sampling
• Channel 7 retrieval used to account for storms near limb
FOV 1 FOV 30
Resolution ~ 50km
2002 Results for Atlantic Basin
Compared to Dvorak (N= 60) in hPa
CIMSS DvorakMean Error 3.24 4.52Std Dev 2.29 3.40Bias -0.28 -0.90RMSE 3.95 5.62
Avg MSLP of sample 1002.4
Atlantic statistics for AMSU versus Recon (+/- 3 hrs) in hPa (N=63)
Mean Error 3.24 Std Dev 2.29 Bias -0.42 RMSE 3.96
Avg MSLP of sample 1002.6
2002 Atlantic Basin Results
AMSU81% within +/- 0.5T
NOAA/NESDIS Satellite Analysis Branch (SAB) vs.
AMSU (N=34, +/- 2hrs of aircraft reconnaissance)
SAB 78% within +/- 0.5T
AMSU vs. Recon for Hurricane Isadore
920.0
930.0
940.0
950.0
960.0
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1000.0
1010.0
17/191
18/0028
19/0334
19/1238
19/1606
19/1849
19/2347
20/0318
20/0723
20/1545
22/0041
22/1308
22/1641
22/1957
24/0819
24/1555
24/1935
25/0113
25/0808
25/1337
25/1925
Day/Time
MSL
P (m
b)
AMSU Recon
20 Mile Eye Storm on edge of satellite Swath
(FOV 3)
Future WorkImprove Technique
• Bias correction when storm is near satellite limb
• Separate treatment of pinhole eye storms using new coefficients
• Time averaging / smoothing
• Add channel 8 retrieval
• Integrate algorithm into NHC/TPC operations
• Addition of AMSU on Aqua (2 more passes per day)
• Basin specific coefficients (need sufficient “observations”)
Confidence Indicator
• Measure Based on FOV, eye size (RMW), anomaly height
Summary
• Penetrates cloud cover
• 55 Ghz region radiances can quantify inner core thermal structure / changes.
• Temperature anomaly strength directly associated with tropical cyclone intensity
• Skill comparable to, and in some cases better than, the Dvorak estimates
• An important new addition to the forecaster “tool kit”
AMSU provides unique tropical cyclone perspective
Conclusions from 2002 Evaluation• Vmax, MSLP (CIRA):
– 2002 (independent) performance very similar to (slightly improved) over dependent sample
– Intensity underestimated for small-cored systems• Wind Radii (CIRA Method):
– 2002 recon-only errors generally similar to dependent sample– Tendency for high bias for R50 and R64– Observed R50 and R64 more asymmetric than predicted
• Addition of second AMSU channel (CIMSS): – Accounts for variability in TC temperature anomaly height
• Improvements resulting from advanced algorithm logic (CIMSS): – Based on evaluation of 3 years of estimates, continues to evolve
• Additional improvements foreseen in 2003:– Characterization and new regressions for small-cored storms
• JHT pathway in 2003:– Continue evaluation of 2002 performance– Implement algorithm upgrades and re-evaluate after 2003 season– If successful and approved, activate improved algorithms at TPC