th quarterly progress report for ca noo244-15-2-0005 ... · python, with the pandas, statsmodels...

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SSL quarterly progress report for quarter ending 30Sep2016 Submitted 21 Oct 2016 [email protected] http://www.statisticalsolutionsllc.com/ 5 th Quarterly Progress Report for CA NOO244-15-2-0005, Intraseasonal Tropical Cyclone Forecasting I. Overview The progress made by Statistical Solutions LLC (SSL) as of the end of the fifth quarter (9/30/16) on research as delineated in the cooperative agreement N00244- 15-2-0005 (hereafter referred to as CA) is evaluated as on schedule and on budget. At the end of the quarter, 71.0% of the total funding has been spent over 71.0% of the lifetime of the CA. Further details on funding and expenditures are available in SSL’s Interim Financial Report (SF-425). For the sake of both transparency and for achieving the widest possible dissemination of the public benefit resulting from this research, this progress report will be made publically available and posted on SSL’s website at: http://www.statisticalsolutionsllc.com/recentongoing-research.html . Due to the public release of this form, the total government funding of the cooperative agreement is omitted, though all financial details will be found in the SF-425, which already has been sent to Dr. Tom Murphree of the Naval Postgraduate School (NPS), the Government Sponsor, and the Administrative Grants Office. When comparing progress with the schedule and milestones agreed upon in the CA and as adjusted in discussion with Dr. Tom Murphree of NPS, progress made to the end of the quarter would indicate that the project is on schedule as both North Atlantic (NA) and eastern North Pacific ENP hurricane/tropical cyclone (TC) forecasting system models have been constructed and experimentation with the models vs. real world activity (formations) is underway. II. North Atlantic Hurricane Model Building A. Background The work to be performed as delineated in the CA includes the building of a statistical-dynamical model for the purpose of forecasting hurricane formation in the NA. A high level view of how the system functions is outlined in Fig 1. Large- scale environmental factor (LSEF) and hurricane formation data for the NA are used to build a statistical model relating (by means of logistic regression) formation to the LSEFs. Once the model is built it can be forced with forecasts of the LSEFs to in turn generate a forecast of the likelihood of hurricane formation at a variety of different lead times. In order to do the regression, 30 years (1985-2014) of NA LSEF and hurricane formation data were collected, archived, and gridded. The LSEFs are those environmental factors thought to be necessary but not sufficient for TC/hurricane formation as proposed by Gray [1968, 1975] and are essentially low shear, warm sea surface temperatures, positive absolute vorticity, upward air flow, and high humidities).

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Page 1: th Quarterly Progress Report for CA NOO244-15-2-0005 ... · Python, with the Pandas, Statsmodels and Patsy modules, was used to perform ... The purpose of this step was to evaluate,

SSLquarterlyprogressreportforquarterending30Sep2016Submitted21Oct2016

[email protected]://www.statisticalsolutionsllc.com/

5thQuarterlyProgressReportforCANOO244-15-2-0005,IntraseasonalTropicalCycloneForecasting

I. Overview

TheprogressmadebyStatisticalSolutionsLLC(SSL)asoftheendofthefifthquarter(9/30/16)onresearchasdelineatedinthecooperativeagreementN00244-15-2-0005(hereafterreferredtoasCA)isevaluatedasonscheduleandonbudget.Attheendofthequarter,71.0%ofthetotalfundinghasbeenspentover71.0%ofthelifetimeoftheCA.FurtherdetailsonfundingandexpendituresareavailableinSSL’sInterimFinancialReport(SF-425).Forthesakeofbothtransparencyandforachievingthewidestpossibledisseminationofthepublicbenefitresultingfromthisresearch,thisprogressreportwillbemadepublicallyavailableandpostedonSSL’swebsiteat:http://www.statisticalsolutionsllc.com/recentongoing-research.html.Duetothepublicreleaseofthisform,thetotalgovernmentfundingofthecooperativeagreementisomitted,thoughallfinancialdetailswillbefoundintheSF-425,whichalreadyhasbeensenttoDr.TomMurphreeoftheNavalPostgraduateSchool(NPS),theGovernmentSponsor,andtheAdministrativeGrantsOffice.WhencomparingprogresswiththescheduleandmilestonesagreeduponintheCAandasadjustedindiscussionwithDr.TomMurphreeofNPS,progressmadetotheendofthequarterwouldindicatethattheprojectisonscheduleasbothNorthAtlantic(NA)andeasternNorthPacificENPhurricane/tropicalcyclone(TC)forecastingsystemmodelshavebeenconstructedandexperimentationwiththemodelsvs.realworldactivity(formations)isunderway.

II. NorthAtlanticHurricaneModelBuildingA. Background

TheworktobeperformedasdelineatedintheCAincludesthebuildingofastatistical-dynamicalmodelforthepurposeofforecastinghurricaneformationintheNA.AhighlevelviewofhowthesystemfunctionsisoutlinedinFig1.Large-scaleenvironmentalfactor(LSEF)andhurricaneformationdatafortheNAareusedtobuildastatisticalmodelrelating(bymeansoflogisticregression)formationtotheLSEFs.OncethemodelisbuiltitcanbeforcedwithforecastsoftheLSEFstointurngenerateaforecastofthelikelihoodofhurricaneformationatavarietyofdifferentleadtimes.Inordertodotheregression,30years(1985-2014)ofNALSEFandhurricaneformationdatawerecollected,archived,andgridded.TheLSEFsarethoseenvironmentalfactorsthoughttobenecessarybutnotsufficientforTC/hurricaneformationasproposedbyGray[1968,1975]andareessentiallylowshear,warmseasurfacetemperatures,positiveabsolutevorticity,upwardairflow,andhighhumidities).

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Fig.1TheSSL-NPSstatistical-dynamicalhurricaneformationforecastingsystemfortheNorthAtlantic.LSEFdataisavailableormaybederivedfromtheClimatePredictionCenter’sClimateForecastSystemReanalysis(CFSR)dataset,availableat:https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/climate-forecast-system-version2-cfsv2#CFS%20Reanalysis%20(CFSR)fordatathrough2010,andhttp://rda.ucar.edu/datasets/ds094.1/#descriptionfordatafrom2011throughcurrent.HurricaneformationdatausedinthemodelbuildingprocessisfromtheNationalHurricaneCenter’s(NHC)HURDAT2datasetavailableat:http://www.nhc.noaa.gov/data/hurdat/hurdat2-1851-2015-070616.txt.Thelocationanddate/timeofhurricaneformationistakenfromthefirstlineofdatafromthedatasetforeachlistedstorm.TheLSEFdatausedformodelbuilding,whichisavailableata0.5°,6-hourlyresolution,wasthenregriddedontoa1.0°,6-hourlygrid.NotethatwechosetouseashigharesolutionaspossibleconsistentwiththeuncertaintyofthetimingofactualcyclogenesisaswellasthespatialresolutionoftheClimateForecastSystemv.2(CFSv2)forcingdatathatisusedtoforcethestatisticalmodelforforecastingpurposes.

B. ModelRebuildingPython,withthePandas,StatsmodelsandPatsymodules,wasusedtoperformlogisticregressionontheLSEFandhurricaneformationdata.ThenecessarybutnotsufficientLSEFs,Gray[1968,1975],werefoundtobestatisticallysignificantataconfidencelevelofover0.999,thoughthehumiditytermwasdroppedduetomulticolinearity.However,followinginitialmodelbuilding(seeprevioustechnicalreportsforthisCA)itwasdeterminedthattheextendedleadforecastssufferedfrominconsistencyinthevaluesofprobabilitiescreatedbythestatisticalmodel,whenforcedwithCFSforecastsoftheLSEFs.Whiletheshortleadforecastsappearedbothskilledandconsistentinappearance,formandbehaviorwithwhathadbeenexpected(andwasobservedwithourENPshortleadforecasts),thelongleadforecaststendedtooverpredicthurricaneformationintheCaribbean/GulfofMexico/WesternNorthAtlantic,andunderpredictformationintheEasternNorth

1

Producesta%s%cal-dynamicalmodeloutput:ensemble-basedforecastsofhurricaneforma%onprobabili%es:1-dayleadforecaststo2monthleadmonthlyoutlooks

Sta%s%calmodelrelatestheLSEFstoTCforma%on

probability

Buildsta%s%calmodelbasedonrela%onshipsbetweenTCforma%onsandLSEFs(basedonNHCbesttracksandCFSR)

Forcesta%s%calmodelwithdynamical,ensemble-based,CFSv2LSEFforecasts

david.sta*s*cal.solu*[email protected]@nps.edu

SSL-NPSDynamical-Sta*s*calTCForma*onForecas*ngSystem

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Atlantic.Moreover,thereweredifficulttointerpretpeaksofformationpotentialthatseemedbothrandomlyplacedinposition,andnotparticularlygroundedinphysicalplausibility.SSLandDr.Murphreespenttimegoingoverplots,comparingthemtootherbasinforecasts,anddiscussingthevariousbasinmodelsandhoweachperformed.Ultimately,itwasdecidedthatwewouldredotheENPstatisticalmodeltoitsmostbasicpredictors(theLSEFs)andnotincludehigherorderpolynomialandinteractionterms.Thiswasdonesothatwecouldevaluatetheeffectofreducingthenumberofpredictorstosomethingsimplerwhileexploringtheeffectofthereductiononwhatwasconsideredtobeaskilledstatisticalmodel.Dependingontheoutcomeofthemodelsimplification,wewouldthenre-approachmodelingtheNA.TheeffectoftheENPmodelsimplificationwasnegligible.Forecastsatallleadslookednearlyidentical,tothosecreatedusingthemorecomplexmodel,andtherewasnochangeinsystemskill.Emboldenedbytheapparentsuccess(thesimplifiedmodelwasonparwithskillincomparisonwiththemoredetailedmodel)withENPmodelsimplification,SSLcreatedanew,simplifiedstatisticalmodelfortheNA.Thegoalofthesimplificationwastoeliminatepotentialoverfitting,produceamodelthatmoreclearlyagreeswithGray’swork,Gray[1968,1975],andtocreateamodeleasiertoexperimentwithanddiagnose.Withthenew,simplifiedmodel,themagnitudeexcursionsappearedtobeeliminatedintheextendedleadforecasts,butthepreviouslymentionedover/underpredictionproblemwaslittleunchanged.

C. FurtherNAStatisticalModelExplorationAfterconsultationwithDr.Murphree,SSLproceededwithatwo-stepplan.Thefirstwastoexperimentwiththecreationandevaluationofmonthlyclimatologymasks.Thepurposeofthisstepwastoevaluate,onamonthlybasis,theagreement(orlackthereof)oftheNAhurricaneforecastingsystemproducedmonthlyoutlookswithwhatisobservedwithhistoricalNAhurricaneformations.Doingsowouldgiveustheopportunitytobettercomparewheretheforecastingsystemproducedresultsthatwereinroughagreementwithclimatology,andwheretheremightbesubstantialdepartures.ThecreationandusageofmaskshadlittleeffectonNAforecasts,againindicatingthattheproblemismoreoverprediction/underpredictionthanthemodelindicatingformationpotentialexistsinregionswhereitwouldbeunlikelytobetrue.Furthermore,themasksallowfordiscussionaboutthepotentialvalueofcreatingmorethanonestatisticalmodelfortheNA.Usingmorethanonemodel(oratleastparameterizingtheexistingmodel)wasanideathathadbeendiscussedbyDr.MurphreeandSSLimmediatelyaftercreationofthefirstgenerationNAstatisticalmodel.Figure2showsclimatological(mostrecent36yearsforwhichwehavedata)hurricaneformationlocationsfortheNAsuperimposedonourformation

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mask(JuneandJuly).Notethatthetwomasksarenotaggressive.Otherthateliminatingafewonceinagenerationstorms,themasksroughlyencircletheclimatologicalformationlocations.Themasksclearlyshowtheexistenceoftwodistincthurricaneformationdevelopmentregions(onetothenorthwest,theothertothesoutheast,andwhilethemaskscannotindicatethatdifferentmodelsmustbeused,thedistinctlyseparateregionswouldimplythattheideashouldbeatleastinvestigated.

Fig.2ClimatologymasksforJune(Top)andJuly(bottom)fortheNorthAtlantic,with36yearsofactualTCformationsshown(fromtheNHCHURDAT2dataset).Whiletheremaainingmonthsofthehurricaneseasonarenotshown,Octoberistheonlymonthforwhichthereisnoobvioustworegionsourceofformations.Ultimately,basedonthemask/climatologyplots,coupledwiththemonthlyoutlooks(seeFigure3)producedbythecurrentstatisticalmodel,SSLandDrMurphreebothagreedthatthatthenextstepforNAforecastingshouldbethedevelopmentofatworegionmodel.Dr.MurphreeandSSLalsoagreedthatwehavelearnedmuchaboutNAhurricaneforecasting,thataskilledshortleadproductisinplace,butthatfurtherdevelopmentofanextendedleadNAhurricaneforecastingsystemmaynotbeaneffectiveuseoftimeincomparisontotwoothertasks(discussedinsectionIV.

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WayForward),especiallyascurrentlywehavelessthanafullseasonofforecaststoworkwithtoevaluateandfinetuneskill.However,throughSeptemberof2016,ourprobabilityofdetectionforthecurrentmonthmonthlyoutlooksforthe2016hurricaneseasonwas83%(10outof12storms)wherethetwomissescamefromwhereonemightexpect,ourunderpredictivesoutheasternNAregion.

Fig.3ExtendedleadhurricaneformationpotentialforecastvalidforJuly2016,issued30June2016,withmaskapplied.Notethehighestprobabilitiesaretothenorthandwest,andthelowesttothesoutheast,despitetheformationoccurringinthesoutheastregion.

III. PreliminaryENPandNAForecastVerificationIncontrasttothechallengespresentedbytheNAwithrespecttoforecastingthepotentialforhurricaneformation,theENPhasbeenverystraightforward.Thesimplifiedmodel,asdiscussedaboveisinuseforallleads(shortandlong)andisusedasinputforSSL/NPS’weeklyrecommendationsregardingTC/hurricaneformationtotheCenterforEnvironmentalPrediction’sGlobalTropicalHazards/BenefitsTechnicalTeleconference(TheGTHBforecastmaybefoundhere:http://www.cpc.ncep.noaa.gov/products/precip/CWlink/ghazards/).Inadditiontothetechnicalteleconferences,whereSSLprovidesshortlead(48houroutlooks)andintermediatelead(week1andweek2outlooks)inputs,SSLmakes1and4dayleadforecasts,aswellascurrentmonthmonthlyoutlooks,onemonthleadmonthlyoutlooks,andtwomonthleadmonthlyoutlooksfortheWesternNorthPacificandtheENPavailableviaitswebpage(http://www.statisticalsolutionsllc.com/tropical-cyclonehurricane-formation-forecasts-2016.html).The1and4dayNAforecastsarealsomadeavailableinthewebsite.Allextendedleadforecastsarearchivedonthe

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websitesothatusershaveanopportunitytojudgeforthemselvestheskilloftheforecasts.

A. ENPPreliminaryVerificationFigure4showsa1dayleadforecastissued25Aug2016,andvalid26Aug16.Oursynopticallyscaledshortleadforecastsaretypicallyhighlyskilled;somuchsothatapotentialfutureuseofourshortleadforecastscouldbeasasourceofunbiasedformationreanalysis.

Fig.41dayleadleadTCformationpotentialforecastvalidfor26Aug2016,issued25Aug2016,withverifyingTCindicated(dateandlocationasindicatedfromthefirstissuedTropicalCycloneFormationAlert).Notetheregionofelevatedprobabilitiesatroughly18°Nand115°W.Thisregionisactuallythelocationof13E,whichformed2daysearlieronthe24thofAugust.Beyondthehighskilloftheshortleadproductsatforecastingformation,theshortleadforecastsarealsohighlyskilledatforecastingfuturelocationsofTCs.InFigure4weseeata1dayleadtheforecastedpositionof13E,whichhadformedafewdayspriortotheindicatedformationof14E.MoreonanecdotalevidencethattheshortleadforecastsmayhaveuseforforecastingtrackswillbediscussedinSectionIII.BNAPreliminaryVerification.Figure5showsanextendedlead(currentmonthmonthlyoutlook)forecastfortheENP,issuedlateJuly,andvalidforAugust2016.InFigure5weseethat5TCsformed,with1miss(atabout130°W),1thatisjustoutsidethecontouredareabutstilljudgedasahit(weusea2.5°neighborhoodwhenscoringtoaccountforgrid

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errors,CFSspatialerrorsandpositionalerrorsinthelocationoftheformation),and3solidhits.Theforecastshownistypicalfor2016,andasmentionedpreviouslymaybefoundwiththeother2016(and2015)archivedforecastsforuserevaluationofskill.Notshownarethelongerlead(1and2month)forecastsofformationpotential,buttheyareverysimilarinappearanceandskilltothecurrentmonthmonthlyoutlook.Whilenotarchivedonthewebsiteyet,thelongerleadforecastswillbemadeavailabletoosothatpotentialuserscangaintrustinasystemwhoseperformancetheycanjudgeforthemselves.

Fig.5CurrentmonthmonthlyoutlookofTCformationpotentialvalidforAugust2016,issued31July2016.Fromhttp://www.statisticalsolutionsllc.com/eastern-north-pacific-formation-forecasts.html

B. NAPreliminaryVerificationWehavediscussedinSectionII.CsomeoftheissuesregardingtheNAhurricaneformationpotentialforecastingsystem.However,sincetheissuesdidnotappeartoadverselyeffectshortleadforecastperformance,shortleadforecastsweremadeavailableontheSSLwebsite.Figure6showsthe1dayleadforecastvalidfor26Sep2016,thedaythathurricaneMatthew(14L)formedintheNA.Matthew’sformationlocationforthatdayisindicatedwiththepinkdot.

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Fig.61dayleadofhurricaneformationpotentialvalidfor26Sep2016,issued25Sep2016.Thedisturbancecenteredon18°N,70°Wwasalsoofinterest,butenvironmentalconditionsthefollowingdaywerenotfavorabletoformation,andtheformationneveroccurred.Finally,Figure7(a-d)showsaseriesofshort(4day)leadforecastsfortheNAissuedandpostedonthewebsitedailybySSLonceitbecameapparentthatMatthewwouldimpacttheUS.Whiletheshortleadforecastswerenevercreatedtobeusedastrackforecasttools,Figure7correctlyindicatedthegeneraldirectionandspeedofMatthewatleadtimesusefultopeopleinitspath.

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Fig.74dayleadforecastsofhurricaneformationpotentialvalidfor5-8Oct2016,andissued1-4Oct2016respectively.Consideringtheuncertaintyinforecastsavailableatthetimeata4daylead,thefourdayforecastswerequitereasonable.

C. SummarybyBasinSSLhaskeptrunningverificationfilesforbothbasinsthroughouttheTC/hurricaneseason.Theresultsarepreliminary,usingthefirstpositions/datesgivenintheirrespectivetropicalcycloneformationalert(TCFA),butthesepositions/datesfrequentlychangeoncethebesttracksfortheseasonareissued.Note,differencesbetweenpreliminarydataandbesttrackdatahistoricallydonotsignificantlyaltertheverificationresults,andwillendupimprovingresultsattimesaswell.TheENPresultsaregoodenoughthesomemodificationoftheminimumcontourusedmayneedtobeexperimentedwithovertheoff-seasonandoncethebesttrackscomeoutsothatprobabilityofdetect(POD)maybereducedinordertoreduceENPpercentageofcontouredarea(PCA).PCAisanSSLcreatedmeasureoftheamountofoceanareatheforecastsindicateasfavorabletoformationdividedbythatamountoftheoceancapableofsupportingTC/hurricaneformationasindicatedbyclimatology.ThusPCAwouldindicateforecastsystemdiscrimination,withthesmallerthePCAvaluetranslatingtosmallerareasoutofthebasinthatourforecastsindicateasformationsupportive.Figure8showsPODandPCAfortheNAandtheENP.Bothareskilled,evenwiththeissuesidentifiedfortheNA.Ideally,ourforecastswouldhaveroughlyan80%PODanda10%PCA.FortheNA,Figure8indicatesanacceptablePOD,butatoohighvalueofPCA(dominatedbythe

a)

c)

b)

d)

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overpredictionissue).FortheENP,thereispotentialtoreducethePCAtoour10%target,byacceptingareducedPODinreturn.

Fig.8VerificationstatisticsforSSL’sNAandENPcurrentmonthmonthlyoutlooksforthe2016seasontodate.Thelongerleadforecasts(1and2monthleadmonthlyoutlooks)areverysimilarinskill.

IV. PublicBenefitKeyattributesofprojectsfundedbycooperativeagreementsarethattheresultsoftheresearcharetoprovideapublicbenefit,andthattheresultsaretobemadepublicallyavailablesothatthepublic,scientificcommunity,andothersmaytakeadvantageoftheresearchresults.Withoutdoubt,improvedunderstandingofTC/hurricaneformationandtheinfluenceoftheenvironmentonthoseformationsisofgreatbenefittothepublic.Tomakepublictheresearcheffort,andtheongoingresultsofthatresearch,onOctober14th,SSL,withDr.Murphreeasaco-author,presented“VisualizationandVerificationofExtendedLeadForecastsofHurricane/TropicalCycloneFormation”atthe2016Cincinnati-DaytonInformsTechnicalSymposium,outliningourTC/Hurricaneresearchtodate,ourresults,andthewayahead.TheabstractisavailableattheCincinnati-DaytonChapterINFORMSwebsitehttps://www.informs.org/Community/Cincinnati-Dayton-Chapter/Symposium.Additionally,allexperimentalforecastproducts,includingkeys,legends,andbackgroundmaterialsarepostedontheSSLwebsiteat:http://www.statisticalsolutionsllc.com/tropical-cyclonehurricane-formation-forecasts-2016.html.DuringearlyOctober,whileMatthewwasapproachingandimpactingtheUS,SSLupdateditsNApagedaily.Furthermore,SSL,onaweeklybasis,emailsparticipantsintheClimatePredictionCenter’sGlobalTropicalBenefits/Hazardstechnicalteleconferencewithtextualforecastinputandupdates

00.10.20.30.40.50.60.70.80.91

NA ENP

PreliminaryLongLeadVeriVicationbyBasin

POD

PCA

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theexperimentalforecastsonit’swebsite.SSLparticipatesintheteleconferenceandusestheinteractionwithotherscientistsasanopportunitytolearnmoreaboutformationforecasting,andaswellastheskillofourresearch.Finally,TC/hurricanerelatedresearchperformedtoenableSSL’sgreaterunderstandingofTCactivity(suchasTC/hurricaneformationclimatescience),thoughnotnecessarilyrequiredorfundedbytheCA,isalsomadeavailableontheSSLwebsite(http://www.statisticalsolutionsllc.com/tchurricane-climate-science.html).AmeasureofthepublicbenefitisthatSSL’spageviewsquadrupleeveryMonday(thedayofthetechnicalteleconference)to40pagesperday.Finally,forpurposesofbothtransparencyandpublicawareness,thisquarterlyprogressreport,pastandfuturequarterlyreports,andthefinaltechnicalreportforthiscooperativeagreementwillalsobemadeavailabletothepubliconSSL’swebsite.

V.WayForwardForthenextquarter,SSLwillfocusontwomainefforts.ThefirstistobegintheprocessofresearchingthestateoftheartforTC/hurricanetrackforecastingandoutlineoutanapproachtodevelopastatistical-dynamicalforecastingsystemfortracks.Thisdeviatesfromtheworkoriginallyincludedinthestatementofwork,butwasmutuallyagreeduponbetweenDr.MurphreeandSSLasthenexttasktoworkonfollowingarecommendationfromtheJointTyphoonWarningCenter.Thesecondeffortwillfocusonrobustverificationofthe2016forecasts(allbasins)toquantifytheexperimentalforecastingsystemperformance.Thisisakeycomponenttotheoverallforecastingresearcheffortasadvancesmadeaspartofourresearchwillbeignoredunlessitcanbeshownthatimprovementhavebeenmadetothestateofthescience.

VI.ReferencesGray,W.M.(1968),GlobalViewoftheOriginoftropicalDisturbancesandStorms,MonthlyWeatherReview,96,669-700.Gray,W.M.(1975),TropicalCycloneGenesisintheWesternNorthPacific,NavalAirSystemsCommand,WashingtonDC,20361.