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CMEArrivalTime&ImpactWorkingTeam
ChristineVerbeke,LeilaMays,SandroTaktakishvilli
CMEArrivalTime&ImpactWorkingTeam
✳ EvaluatewherewestandwithCMEarrivaltimeandimpact prediction✳ Establishcommunity-agreedmetricsandeventsregardingCMEarrivaltimeandimpact.✳ Provideabenchmark againstwhichfuturemodelscanbeassessedagainst✳ Complementarytothe CMEScoreboard (collectanddisplayreal-timeCMEpredictionsandfacilitatethevalidationofreal-timepredictions).
✳ Catalogofmetrics andhowtheyrelatetouserneedsandscienceneeds.✳ Modelassessments withselectedmetricsforselectedtimeintervals.✳ Onlinedatabaseofmodelinputs,outputs,andobservations.✳ Publication describingmodelassessmentresultssummarizingwherewestandwithCMEarrivaltimeandimpactprediction.
Work with Information Architecture for Interactive Archives (IAIA) working teamfor online database.
TeamGoals
TeamDeliverables
CMEArrivalTime&ImpactWorkingTeam
✳ Identifyanddiscussuserneeds✳ Discussandselecttimeintervalstostudy— expandasneeded✳ Discussanddevelopasetofrelevantskillscores,andrelatethemtouserneeds andscienceneeds✳ Identifysourcesofuncertainty✳ Producemodel/techniqueoutputforintervalsofstudy✳ Performmodelassessments withselectedmetrics
✳ Slackchannels(contactleadstobeadded)✳ Mailinglist(contactleadstobeadded)✳ Email✳ Telecons✳ Regularwebsiteupdateshttps://ccmc.gsfc.nasa.gov/assessment/topics/helio-cme-arrival.php
Summaryofteamtasks
Remotecollaboration
CMEArrivalTime&ImpactWorkingTeam
Participants– inviteyourcolleagueshighinterestEricAdamson*·TanjaAmerstorfer ·Anastasios Anastasiadis ·NickArge ·MichaelBalikhin*·DavidBarnes*·Francois-XavierBocquet ·Yaireska Collado-Vega*·PedroCorona-Romero*·JackieDavies·CurtdeKoning*·CraigDeForest*·Manolis K.Georgoulis*·CarlHenney ·BernardJackson*·LanJian·MashaKuznetsova*·Kangjin Lee·Noé Lugaz ·AnthonyMannucci*·Periasamy KManoharan*·DanielMatthiä*·LeilaMays*·MikeMcAleenan*·Slava Merkin*·Marilena Mierla ·JosephMinow*·ChristianMoestl ·KarinMuglach*·TeresaNieves·Nariaki Nitta·MarlonNunez·Dusan Odstrcil*·MathewOwens·Evangelos Paouris ·AthanasiosPapaioannou ·SpirosPatsourakos ·vic pizzo ·PeteRiley·AlexisRouillard·CamillaScolini ·HowardSinger*·RobertSteenburgh*·Aleksandre Taktakishvili*·ManuelaTemmer·W.KentTobiska*·ChristineVerbeke*·Angelos Vourlidas ·KatherineWinters*·AlexandraWold*·KiChang Yoon·Emiliya Yordanova*·Jie Zhang·mediuminterestTarekAl-Ubaidi*·SuzyBingham*·StevenBrown*·BaptisteCecconi ·DavidFalconer·NataliaGanushkina*·LauraGodoy*·BerndHeber·ChristinaKay·AdamKellerman*·BurcuKosar*·AlexanderKosovichev*·YukiKubo·PeterMacNeice*·Chigomezyo Ngwira*·StevePetrinec*·NikolaiPogorelov*·LutzRastaetter*·IanRichardson*·NeelSavani*·BarbaraThompson*·Karlheinz Trattner*·RodneyViereck ·BrianWalsh·Chunming Wang*·DanielWelling*·Yongliang Zhang*·Yihua Zheng*·
*attendingCCMC-LWSworkingmeeting
CMEArrivalTime&ImpactWorkingTeam
Participatingmodels✳ DBM(Vrsnak &Zic)✳ ElEvo (EllipseEvolution)(Moestl)✳ ElEvoHI (EllipseEvolutionbasedonHI) (Amerstorfer)✳ Enhanceddrag-basedmodel(Hess&Zhang) [set1results]✳ EUHFORIA (Pomoell)✳ SARM(Núñez) [set1results]✳ SUSANOO-CME✳ WSA-ENLIL+Cone (Arge,Odstrcil) [set1results]✳ contactustoaddyourmodel
APRIL4•TUESDAY9:00am– 10:15amMetrics•Metricsdiscussionandexamples•Metricsaddressinguserneedsvs.scientificresearch•Discussionquestions•1stsetofeventsforvalidation•Preliminarymodelvalidation/results•AlexWold:Real-timeENLILrunvalidation&discussion•Marilena Mierla (notattending):comparisonsofENLILandEUHFORIA•More2-3slidecontributionsfromparticipants•CMEscoreboarddiscussion•SuzyBingham:InitialCMEscoreboardverificationfromtheUKMetOffice
TeamAgendaMetrics&Impactofbackgroundsolarwind•ContinueitemsremainingfromMetricssession•Scenesettingpresentationonquantifyingtheeffectsofbackgroundsolarwind•Discussiononimpactofbackgroundsolarwind,2-3slidecontributionsfromparticipants•Continueotherdiscussionitemsfromprevioussessions
Summaryandfutureplans•Remainingdiscussionquestions•QuantifyingprogressinthefieldofCMEarrival&impact•Summaryofteamprogress•Futureplans,meetings,remotecollaboration
APRIL5•WEDNESDAY10:45am– 12:00pm
APRIL6•THURSDAY4:45pm– 6:00pm
APRIL4•TUESDAY9:00am– 10:15amMetrics•Metricsdiscussionandexamples•Metricsaddressinguserneedsvs.scientificresearch•Discussionquestions•1stsetofeventsforvalidation•Preliminarymodelvalidation/results•AlexWold:Real-timeENLILrunvalidation&discussion•Marilena Mierla (notattending):comparisonsofENLILandEUHFORIA•More2-3slidecontributionsfromparticipants•CMEscoreboarddiscussion•SuzyBingham:InitialCMEscoreboardverificationfromtheUKMetOffice
TeamAgendaMetrics&Impactofbackgroundsolarwind•ContinueitemsremainingfromMetricssession•Scenesettingpresentationonquantifyingtheeffectsofbackgroundsolarwind•Discussiononimpactofbackgroundsolarwind,2-3slidecontributionsfromparticipants•Continueotherdiscussionitemsfromprevioussessions
Summaryandfutureplans•Remainingdiscussionquestions•QuantifyingprogressinthefieldofCMEarrival&impact•Summaryofteamprogress•Futureplans,meetings,remotecollaboration
APRIL5•WEDNESDAY10:45am– 12:00pm
APRIL6•THURSDAY4:45pm– 6:00pm
CMEArrivalTime&ImpactWorkingTeam
ConsiderationsforEventSelectionConsiderationsforeventselection:✳ SingleCMEevents(fastandslow)✳ MultipleCMEevents(interactingandnon-interacting)✳ CMEeventsthatareexpectedtoarrivebutdonot(falsealarm)✳ FlankimpactCMEevents✳ ConsidereventsfromtheISESTWG4wikipage✳ Overlapsomeeventswiththe IMFBzandL1workingteam
✳ Forsomevalidationmethods,howmanyeventsareneededtobestatisticallysignificant?✳ Eventselection:Shouldwehavea"trainingset","validationset",and"testset"— wherethe"test"setisnotrevealeduntilalaterstage?
CMEArrivalTime&ImpactWorkingTeam
1st setofeventssmallcoreselectiontoexplorechosenmetrics&validationtechniques
• Fourevents:twohits,oneproblematichit,andonefalsealarm.
• Aimfor2hitstowilloverlap withtheIMFBz workingteam’seventlisttoreducetheoverallmodelingburden(forthosemodelsthatpredictbotharrivalandBz).
• Ifdesired,theCMEparametersprovidedonthewebsite(takenfromliterature)canbeused
A)3April201010:33UT(hit)B)15March201307:12UT(hit)C)7January201418:24UT(falsealarm;onlyaweakdiscontinuityarrives)D)15March201501:48UT(hit;problematic,manymodelspredictalatearrival)
Resultsfrom4modelsfortheseeventshavebeenpostedonourwebsite:https://ccmc.gsfc.nasa.gov/assessment/topics/CME/events.php#results
• ThevalidationofCMEforecastingfocusedaroundarrivaltimebecauseitwastheeasiestthingtoagreeon.Longtermgoalistovalidateintensity andduration also.
• Importanttorealizethatquantitiestovalidateforresearchisdifferentoperations.E.g.littleinterestinT or nverificationforoperations.
• Scienceresearchfocusisonhowwellmodelforperformsformostparameters
• Foroperations themostimportantquantitiesareBz andv (couplingfunction)
• Quantitiesimportantinthisorderforoperations:timing(arrival),intensity,andduration
Validation:UserNeedsvsResearchNeedsfeedbackfromSWPC
Validation:UserNeedsfeedbackfromSWPC
Quantitiestovalidate:• timing(arrival),intensity,andduration
• Arrivaltime:powergridisinterestedintiming
• SuggestusinghistoricICMEobservationstodeterminewhattovalidate(e.g.whatintensity,duration,orthresholdisimportanttotestmodelperformance)
• Kp usedbyforecasters,butitmightbeusefultocompareDstpredictionsformodelsfortheirperformanceforecastingofstormintensityandduration.
• Alwaysusefultoprovideameasureofuncertainty
• Abest/worstcasescenarioisusefulforuserstomakedecisions
✳ WhataretheeffectsofthemodelinputsontheCMEarrivaltimeandimpacts✳ modelparameters✳ CMEparameters✳ inputmagnetograms✳ …
✳ Isthereasolarcycledependenceonmodelperformance?
✳ DowewanttofixtheCMEinputparametersandinputmagnetograms(ifapplicable)forallmodels?
Ifso,istheteamcomfortablefortheCMEparameterstobedeterminedbyanexpertthatisnotamodelerintheCMEArrivalTimeWorkingteamtoremovebias?
✳ Whataresomegoodtechniquestodeterminetheuncertainty/confidence ofthearrivaltimeprediction?
Discussionquestions:models
QuantitiestoValidate:someideastostartICME...✳ arrivaltime✳ averagemagneticfieldmagnitude✳ averagetemperature✳ averagespeed✳ duration✳ resultinggeomagneticstormstrengh (Kp,Dst,...)
✳ Arrivaltime:☼ RMSE,meanabsoluteerror(MAE),meanerror(ME),others?
✳ Categorical(yes/no)predictions:☼ skillscoresbasedoncontingencytables☼ probabilisticandcontinuouspredictionscanbeconvertedtocategoricalusingthreshold
✳ Probabilisticpredictions:☼ Reliabilitydiagram,BrierSkillScore,...
Skillscores/metrics
Discussion
✳ Whichcatalog touseforICMEarrival?Takeanaverage?
✳ Overwhatintervalshouldaveragein-situobservationsbederived?Useacatalog?
✳ Directlycomparetimeseriesw/observationsforsomemodels?Time-shiftmodelresults?
✳ Alsovalidatethethemagneticcloudarrivalinadditiontotheshock/discontinuity?
✳ Validatean"impactparameter"extractedfrommodelresults?Comparetoin-situfluxropefitparameters?
✳ Howcanwevalidateandquantifytheeffectofthebackgroundsolarwindpredictiononthearrivaltimeprediction?
✳ HowdointeractingormultipleCMEevents,orSIR+CMEeventsimpactthechosenmetrics?Howtoquantifymodelperformancefortheseevents?
Discussionquestions:Quantities&Observationswhattoquantitiestovalidate,andwhattocomparethemto
✳ Whatisagoodbaselinemodelor climatologytocompareagainst?
✳ Forthehitcalculation:☼ Howtodefineacategoricalyes/nofor"modelpredictedarrival"- human
analysisofmodelresultsoralgorithm?Whatanalysismethod?
☼ IfthemodelpredictedarrivaltimeismorethanxnumberofhoursfromtheobservedCMEarrivaltimeisitahit?Orafalsealarmandmiss?Varythedefinitionofthehitdependingonuserneeds?
✳ Probabilisticprediction:whatthreshold touseforhit/miss?Varyandexplore?
✳ Howbesttoquantifyuncertainty intheskillscoreresultsbasedonvalidationsamplesize,uncertaintiesinobservations,andfromanyothersources.
Discussionquestions:Metrics
Allpredictionmethodsarewelcomeandallareencouragedtoparticipate.Participationfromthecommunity:• Allpredictionmodelsandmethodsarewelcomefromtheworld-wideresearch• community(currently19methodsareregistered)• UserssubmittheirpredictionsforongoingCMEevents,listingtheirmethod• assumptionsandinputparameters• Researcherscanthenviewallofthepredictions,modelingdetails,andthe• ensembleaverageofallpredictedarrivaltimessubmittedbyparticipants
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
TheCMEscoreboardisaresearch-based forecastingmethodsvalidationactivitywhichprovidesacentrallocationforthecommunityto:
• submittheirforecastinreal-time• quicklyviewallforecastsatonceinreal-time• compareforecastingmethodswhentheeventhasarrived• viewtheaverageofallforecastsforeachevent(ensemble).
CMEArrivalTimeScoreboard
Communitypredictionsforthe5Nov2016CME
Pleasejoin!Allpredictionmethodsarewelcomeandallareencouragedtoparticipate.
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
CommunitypredictionsfortheJanuary7,2014CME(X1.2flare):
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
Averageofallsubmissions:12hoursearly,Kp geomagneticindex6to7.615submissions
Pleasejoin!Allpredictionmethodsarewelcomeandallareencouragedtoparticipate.Therearecurrently19registeredmodels.
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboardAnyonecanviewpredictions,pleaseregistertosubmitpredictions.
BeginbyclickingAddPredictionunderthe"ActiveCMEs"sectionandselectyourforecasting"MethodType"fromthelist.Whileloggedin,ifyoudonotseeanyCMEs listedunderthe"ActiveCMEs"section,clickAddCMEtogetstarted.
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
Suggestedimprovementscomingsoon:• AutomaticforecastsubmissionviaanXMLfile• MailinglistthatnotifiesuserswhenanewCMEhasbeenaddedtothe
scoreboard• SeparategeomagneticstormscoreboardthatcanlinktoCMEscoreboard
Futureplans:• Showingdataintableinplotform• Automaticskillscorecalculations• QualityfactorforconfidenceinobservedICMEassociatedshockarrival• QualityfactorforconfidenceinlinkingobservedICMEarrivalwithCMEin
coronagraph• Yourideas?
CMEArrivalTimeScoreboard
http://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard
Discussion:CMEarrivaltime&impactvalidationtechniques
CMEArrivalTimeErrorValidationExamples
CMEArrivalTimeErrorValidationExamples
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CME Arrival: Reliability Diagram of 52 Ensembles
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Assessment:Confidence(likelihood)inCMEarrival
• ExamplereliabilitydiagramforCCMC/SWRCarrivaltimeforecasts
• Underforecasting intheforecastbinsbetween40-80%
• Slightlyoverforecasting inthe80-100%forecastbins
overforecasting
under-forecasting
NeedtoimproveconfidenceinCMEarrivalforecast:• ConsiderbetterwayoftranslatingCME“impactparameter”into
probabilitythattheCMEwillarrivewhichmoreaccuratelyrepresentshead-onvs.grazingimpacts(andtherangesinbetween)
Caution:smallSamplesizesinsomebins!!
LikelihoodofCMEarrivalforecastverification:BrierScore
AmethoddefiningthemeansquaredprobabilityforecasterrorsistheBrierScore:
N=numberofevents,pi =forecastprobabilityofoccurrenceforeventi,oi =1iftheeventwasobservedtooccurand0ifitdidnot.
Rangesfrom0to1,with0beingaperfectforecast.
UsingtheforecastprobabilityaboutthelikelihoodthattheCMEwillarrivesubmittedonthescoreboard.
TheBrierSkillScore(BSS)isthetheBrierscorerelativetoclimatology
Note:confidenceintervalsshouldbecomputedforverificationscores
LikelihoodofCMEarrivalforecastverification:Reliability
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(b) CME Arrival Time: Rank Histogram of all Ensembles
Howwelldoestheensemblespreadrepresentthetruevariabilityoftheobservations?
TheU-shapedrankhistogramforsuggestsundervariability,indicatingthattheseensemblestonotsampleawideenoughspreadinCMEinputparameters.
EnsembleValidationSummary• Ensemble modeling gives a probabilistic forecast which includes an estimation of arrival time uncertainty from the spread in predictions and a forecast confidence in the likelihood of CME arrival.
• First results for 30 event sample: mean absolute arrival time error of 12.3 hours, RMSE of 13.9 hours, and mean error of -5.8 hours (early bias), comparable with other CME arrival time prediction errors reported in the literature.
• It was found that the correct rejection rate is 62%, and the false-alarm rate is 38%.
• Brier Score of 0.15 shows that the likelihood of CME arrival prediction is fairly accurate.
• However, the reliability diagram shows that the ensemble simulations are underforecastingthe likelihood that the CME will arrive in the forecast bins between 20-80%, and slightly overforecasting in the 1-20% and 80-100% forecast bins.
• For 8 out of 17 of the ensemble runs containing hits, the observed CME arrival was within the spread of ensemble arrival time predictions. The initial distribution of CME input parameters was shown to be an important influence on the accuracy of CME arrival time predictions. The rank histogram suggests undervariability in initial conditions; i.e., these ensembles do not sample a wide enough spread in CME input parameters.• The observed Kp was within ±1 of the predicted mean Kp for 11 out of 17 of the ensembles.
• Kp prediction errors: mean absolute error of 1.4, RMSE of 1.8, and mean error +0.4. • Overall tendency for the overprediction of Kp, for CME input speeds above ~1000 km/s.
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Probabilistic Kp Forecast Distribution (18 April 2014)90˚
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90˚-180˚ Kp isforecastusingENLILpredictedsolarwindquantitiesatEarthasinputtotheNewelletal.(2007)couplingfunction forthreeclockanglescenarios(ΘC=90°,135°,and180°)andallthreeanglescombined,assumingequallikelihood.
18April2014CME:DistributionofKp probabilityforecast
• ObservedKp:5duringperiod12:00-15:00UTon20April.• 84%oftheforecastsfallbetweenKp =5to7.ThemostlikelyforecastisforKp=7at41%,followedbyKp=5at27%andKp=6at16%likelihoodofoccurrence.• UsingthemeanKp forecastofKp=6,thepredictionerrorisKperror=Kppredicted- Kpobserved =1(overprediction)
Kp =5observed
Simulatedvs.ObservedCMEParametersØ Thedifferencefrom
differentobservationdatacanaffecttheresults.Forexample,thedifferenceofVmaxfromOMNIandACEis>200km/sfor3CMEs.ThecorrelationforNpmax isweakerifusingACE
Ø InseveralcaseswheretheCMEVmax isoverestimated,thereareinteractionsofmultipleCMEs
Ø Usingthefixedparameters(a6b1),theVmaxandNpmax areunderestimated.Theyareoverestimatedinthecaseofself-adjustedparameters(ace3b)
Ø SimilartrendsarefoundforthecorrelationsofmeanvaluesofCMEparameters.Themeantemperatureareoverestimatedinbothsettings FromLanJian