TheECMWFforecastvisualiza6onchallenge:winningidea AneeshSubramanian DaveMacLeod HannahChristensen StephanJuricke 14June2017@UsingECMWF’sForecastsmee<ng2017 The challenge • ECMWFdevelopedtheEnsemble(ENS)Meteogramtocommunicateprobabilis<c forecastinforma<on • Themeteogramsummarizestheensembledistribu<onataspecificloca<onforaset ofparameters • AchallengetoimprovethemeteogramwasissuedatUEF2016 The challenge Threeideasforinspira<on: 1.Innova<onindisplayingtheensembledistribu<onforecast 2.Addingcomponents 3.Designingauserinterfacetoallowmorecustomiza<on The philosophy: “Progressive disclosure of information” AplaWormtograduallyexploretheforecastalongdifferentavenuesfollowinga user’spar<cularinterestwithoutbeingoverwhelmedwithallthedataatonce The philosophy: “Progressive disclosure of information” AplaWormtograduallyexploretheforecastalongdifferentavenuesfollowinga user’spar<cularinterestwithoutbeingoverwhelmedwithallthedataatonce The implementation • Acleanandvisuallyappealingweb-baseduserinterface • Abilitytocomparecurrentwithpreviousforecasts • Probabili<esofexceedinganadjustablethreshold • Informa<ononexpectedforecastskill&decisionsupport Acleanandvisuallyappealingweb-baseduserinterface Acleanandvisuallyappealingweb-baseduserinterface Oxford Precipitation ✔Climatology Show previous forecasts Set threshold and get forecast probabilities Decision support Abilitytocomparecurrentwithpreviousforecasts Oxford Precipitation ✔Climatology Show previous forecasts Set threshold and get forecast probabilities Decision support Abilitytocomparecurrentwithpreviousforecasts Oxford Precipitation ✔Climatology ✔Show previous forecasts Set threshold and get forecast probabilities Decision support Verification: 0.8 Probabili<esofexceedinganadjustablethreshold Oxford Precipitation ✔Climatology Show previous forecasts Set threshold and get forecast probabilities Decision support Probabili<esofexceedinganadjustablethreshold Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% <2% <2% 15% <2% <2% <2% <2% 6% <2% 5% <2% 3% 5% 3% Show previous forecasts threshold and get ✔Set forecast probabilities Decision support Informa<ononexpectedforecastskillanddecisionsupport Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% <2% <2% 15% <2% <2% <2% <2% 6% <2% 5% <2% 3% 5% 3% Show previous forecasts threshold and get ✔Set forecast probabilities Decision support Informa<ononexpectedforecastskillanddecisionsupport Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% 0.4 <2% <2% 15% <2% <2% 20% 10% 0.1 0.4 6% <2% 5% <2% 3% 5% 3% These curves indicate a theoretical economic value of the forecast across a range of cost/loss ratios, based on past performance at this lead-time. The economic value of a forecast is calculated by comparing the expense across reforecasts based on a simple cost/loss model, compared to default ‘climatological’ action (that is, always acting or never acting). Each curve indicates the value of the forecast if action is taken only when a certain forecast probability is exceeded, the decision threshold. 0.3 0.2 <2% The figure on the left shows potential economic value curves. Potential economic value 30% 0.2 <2% 0.6 Cost/loss ratio 0.8 The figure indicates that the forecast has value at this lead time across a range of decision thresholds. The maximum value will be extracted by choosing to only take action when the forecast probability is above 30%. However, the forecast will still shows value over time for decision thresholds 10% & 20%, though not for all individual values of cost & loss. Show previous forecasts threshold and get ✔Set forecast probabilities ✔Decision support Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% 0.4 <2% <2% 15% <2% <2% Potential economic value 0.3 20% 10% 0.1 0.2 0.4 0.6 Cost/loss ratio <2% 6% <2% 5% <2% 3% 5% 3% Show previous forecasts threshold and get ✔Set forecast probabilities ✔Decision support 30% 0.2 <2% 0.8 Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% 0.4 <2% <2% 15% <2% Potential economic value 30% <2% <2% <2% 6% <2% 5% <2% 3% 5% 3% Show previous forecasts threshold and get ✔Set forecast probabilities ✔Decision support 0.3 Summary:“Progressivedisclosureofinforma6on” 20% 0.2 • Acleanandvisuallyappealingweb-baseduserinterface 10% • Abilitytocomparecurrentwithpreviousforecasts 0.1 0.2 0.4 0.6 Cost/loss ratio • 0.8 Probabili<esofexceedinganadjustablethreshold • Informa<ononexpectedforecastskill&decisionsupport Thanksforlistening–anyques6ons? Oxford Precipitation ✔Climatology Chance of greater than 9mm <2% 0.4 <2% <2% 15% <2% Potential economic value 30% <2% <2% <2% 6% <2% 5% <2% 3% 5% 3% Show previous forecasts threshold and get ✔Set forecast probabilities ✔Decision support 0.3 Summary:“Progressivedisclosureofinforma6on” 20% 0.2 • Acleanandvisuallyappealingweb-baseduserinterface 10% • Abilitytocomparecurrentwithpreviousforecasts 0.1 0.2 0.4 0.6 Cost/loss ratio • 0.8 Probabili<esofexceedinganadjustablethreshold • Informa<ononexpectedforecastskill&decisionsupport
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