Transcript
Page 1: Problem Conclusions HURSAT-ADT and Aircraft Pressure · Comparing CI-number/Pressure Relationships in Poster #80 the Western Pacific using HURSAT -ADT and Historical Reconnaissance

32nd ConferenceonHurricanesandTropicalMeteorology18–22April2016,SanJuan,PR

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Poster#80ComparingCI-number/PressureRelationshipsintheWesternPacificusingHURSAT-ADTandHistoricalReconnaissance

CarlJ.Schreck III1,2,K.R.Knapp2,J.P.Kossin2,andC.Velden31NCSU’sCooperativeInstituteforClimateandSatellitesNorthCarolina(CICS-NC),2NOAA’sNationalCentersforEnvironmentalInformation,3Wisconsin-Madison’sCooperativeInstituteforMeteorologicalSatelliteStudies(CIMSS)

Conclusions

• BothDvorakandKoba WPRsareinconsistentwithKnaff–Zehr forstrongerstorms

• Koba’s pressuresaregood,butthewindsaretooweakwhenconvertedtopressure

• Dvorak’spressuresaretoostrong,butthewindsconvertedtopressurearegood

• ThisanalysissupportsoperationalpracticeofusingDvoraktoestimatewindsandthenconvertingtopressureusingKnaff–Zehr

MapoffixeswithbothaircraftandHURSAT-ADTintensityestimates

Data&Methods

Reconnaissancedata• ObtainedfromJTWC

F-Decksfor1978–1987

• Usingpressurecalculatedfromminimumflight-levelheight

HURSAT-ADT• ADTalgorithmappliedtoHURSATdata(seeKossin etal.

2013)• Onlyusesinfrareddatafromgeostationarysatellites• Mayunderestimateintensities,esp.forstormwith

developingeyesorwithverysmalleyes

MatchaircraftpressurewithnearestHURSAT-ADTfixwithin3hours• Koba etal.(1991)manuallyanalyzed855fixesfor50

storms• Ourmethodproduces1972fixesfrom163storms

HURSAT-ADTandAircraftPressure

Top:HistogramofHURSAT-ADTCInumbersandpressuresderivedfromflight-levelheightsBottom: Deviationsfromthemedianobservedpressureforeachtable

BroadagreementforstormsweakerthanT-5.0and960hPa

Tablesdivergeforstrongerstorms• AircraftpressuresroughlyalignwiththosefromKoba• Dvorakpressuresaretoolowforstrongerstorms• Koba winds,whenconvertedtopressurethroughKnaff–Zehr,aretoo

weakforstrongerstorms• Dvorakwinds,convertedtopressurethroughKnaff–Zehr,match

observations

Problem

JTWCandJMAproduceverydifferentestimatesofTyphoonstrength

Histogramof1-minbesttrackwinds(left:JTWC,right:JMA)andaircraftreconnaissancepressures.

• JTWCusestheDvoraktables• JMAusesKoba tables,whichhavelowerwindsforthe

strongeststorms• Differencesextendwellbeyondwindaveragingperiods(10-

minutevs.1-minute)• Aircraftreconnaissanceendedin1987,andeventhenwind

estimateswerecrudebytoday’sstandards

Wind–PressureRelationships

Knaff &Zehr (2007)andKnaff &Sampson(2006):

Vsrm Storm-relativewindspeed Vsrm = Vmax −1.5 c0.63

S Normalizedsize parameter 0.64Penv EnvironmentalPressure 1008.9Φ Latitude 18.85°∆P Penv − MSLPc Stormmotion 9.6

GlossaryandReferencesJTWC:JointTyphoonWarningCenter JMA:JapaneseMeteorologicalAgency ADT:AdvancedDvorakTechniqueDvorak,V.F.,1984:Tropical cycloneintensityanalysisusingsatellitedata.NOAATech.Rep.NESDIS11,45pp.Knaff, J.A.,andC.R.Sampson,2006:ReanalysisofWestPacifictropicalcycloneintensity1966–1987.Preprints,27thConf.onHurricanesandTropical

Meteorology,Monterey,CA,Amer.Meteor.Soc..Knaff, J.A.,andR.M.Zehr,2007:ReexaminationofTropicalCycloneWind–PressureRelationships.Wea.Forecasting,22,71–88,doi:10.1175/WAF965.1.Koba,H.,T.Hagiwara,S.Osano,andS.Akashi,1991:RelationshipsbetweenCInumber andminimum sealevelpressure/maximumwindspeedoftropical

cyclones.Geophys.Mag.,44,15–25.Kossin, J.P.,T.L.Olander,andK.R.Knapp,2013:Trendanalysiswithanewglobal recordoftropicalcycloneintensity.J.Climate,26,9960–9976,doi:10.1175/JCLI-

D-13-00262.1.

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