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CapacityBuildingforSWOTintheDevelopingWorld
NASA/SERVIRScienceCoordinationOffice
EricAnderson
SWOTApplicationsUserWorkshop– April5-6,2017EngagingtheUserCommunityforAdvancingSocietalApplicationofSurface
WaterOceanTopography(SWOT)mission
https://ntrs.nasa.gov/search.jsp?R=20170003380 2018-05-22T19:04:56+00:00Z
Acknowledgements
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• SERVIR-Eastern&SouthernAfrica/RCMRD– FaithMitheu,RobinsonMugo,AnastasiaWahome
• SERVIR-HinduKush-Himalaya/ICIMOD– Sudip Pradhan,HariDhonju,Birendra Bajracharya,MirMatin
• SERVIR-Mekong/ADPC,SIG,SEI,Deltares– Senaka Basnayake,Susantha Jayasinghe,Nuntarut “Jua”Loketkawee,Chinaporn “Pin”
Meechaiya,JayaPudashine,Chusit Apirumanekul,PeterCutter,DavidSaah,PeerananTowashiraporn,DavidGanz(previousChiefofParty)
• SERVIR-WestAfrica/AGRHYMET,CERSGIS,CSE,RECTAS– Issifou Alfari,PaulBartel,Kadidia Yero,MarcDawson
• NASA,NancySearby,CapacityBuildingProgramManager• NASA/SERVIR
– ScienceCoordinationOffice:DanIrwin,Ashutosh Limaye,RayFrench,MattHe,BillyAshmall,FranciscoDelgado,JaganRanganathan,AfricaFlores,KelMarkert,LeeEllenburg,EmilCherrington
– AST:FaisalHossain,HyongkiLee,Modurodoluwa "Dolu"Okeowo• USAID
– JennyFrankel-Reed,AlbertMomo,BrandonSitzmann,KarlWurster,Chihenyo Kangara,Abdoulaye Ndye
OverviewofSERVIR
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• SERVIRisalinkbetweenresearchinstitutionsandenduserdecisionmaking.
Science EndUserNeeds
• SERVIReffortsareledbytheneedsoftheregion.
Background:LinkingSciencetoEndUserNeeds
• PresenceofSERVIRHubs,suchasRCMRD,ICIMOD,ADPC,andAGRHYMETRegionalCenter,withregionalgovernmentalsupport,makesthelinkagesustainable.
• NASA-ROSESselectedSERVIRAppliedSciencesTeam
• Primarydirectbeneficiariesarenationalagencies(e.g.,ministries,departments)
OverviewofSERVIR
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KeyObjectives:SERVIRResultsFramework
Foodsecurity&agriculture
Landcover,landuse&ecosystems
Waterresources&disasters
Weather&climate
Specificapplication:IncreasingaccesstorivermonitoringintheLowerMekong,overcomingissuesoftransboundarydatasharing:“Virtualrainandstreamgaugedataservice”
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BuildinggeospatialITandsoftwaredevelopmentcapacityaswellasscientificunderstandingofsatellitealtimetryandhowitcanbeincorporatedintohydrology.Accesstool:https://servir.adpc.net/tools/satellite-radar-derived-virtual-rain-and-stream-gauge-data-service
Users:• Nationalhydro-
meteorologicalservices• Nationaldisaster
managementagencies• Waterresources
departments• Hydropowercompanies• MekongRiver
Commission• Irrigationdepartments• Agriculturedepartments• Researchinstitutes
• BuildsonsuccessfromJason-2integrationinIWM&FFWCinBangladesh(Hossainetal,SERVIRAST;NASAWR)
• Multipliereffectof“AltimetryToolkit”developedbyLeeandOkeowo withadd’l co-developmentatNASA/SERVIRandSERVIR-Mekong(Okeowo 2016)
• Answersaneed identifiedinSERVIR-MekongNeedsAssessment(https://servir.adpc.net/publications/needs-assessment-geospatial-data-and-technologies-lower-mekong-region)
• Completeservicewillinclude:• Data:Jason-1/2/3,Sentinel-3,AltiKa,GRACE• Models:VIC• Resources:Trainingmaterials,open-sourcesoftware,
• http://depts.washington.edu/saswe/Manual_VIC_V_1.1.pdf• https://github.com/doluoke/Jason2_Altika_TimeseriesGeneration• https://github.com/andersoner/altimetry_toolkit_arcgis_plugin• https://github.com/KMarkert/servir-vic-training
• Improvereservoiroutflowandriverfloodsimulations
Exploringadditionalapplications
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• ReservoirlevelmonitoringtopimprovingwaterresourcemodelingandmanagementinEastAfricabyIGADClimatePredictionandApplicationsCenter(ICPAC)andRCMRD
• CoastalsubsidenceinLowerMekongdeltaandthreatstocoastalcitiesandagro-ecosystems
• MonitoringlakeheightinGuatemala,LakeAuthoritiesandWatershedManagementAuthorities,andMinistryofEnvironmentandNaturalResources(MARN)
Potentialimpactofpressinggapsinthesekeyapplications:howwegetthere
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• Capacity isbuiltatSERVIRhubstomakeappropriateuseofSWOTdatatoaddressneedsasexpressedbytheirstakeholders
• Morepeopleareaware ofsatellite-baseddataandpotentialuses
• Greateraccesstonewdata,products,andtools• Morecustom-tailoredtoolsorcustom-integrationsofEO
data,products,toolsindecision-makingenvironments
• WhenEarthobservationsdataand/ortoolsareusedregularlyorsemi-regularlyinadecision-makingenvironment,especiallywithoutconstantsupportfromscientist
Potentialimpactofpressinggapsinthesekeyapplications:whatwehopeitlookslike
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• SERVIRHubsareprovidinghigherqualityservices,andbyextension,practitionersindevelopingcountriesaremakingbetteruseofEarthobservationdata,tools,products
• Transboundaryandinter-agencydatasharingincreasebecausepeoplehavenewmeanstoestimatewhatishappeningontheground
• EntrepreneurshipandinnovationincreasethroughcollaborationbetweengovernmentagenciesandsubsequentlywithNGOsandacademia,benefitingfrommoredataandacceleratedopen-sourceapplicationdevelopment
Examplesofexpectedimpacts• Floodwarningsaremoreaccurate,comeearlier,andaremoreeffective• Pre-emptiveactioncanbetakensoonertomitigatepotentialimpactsofdrought,
minimizingriskoffoodinsecurity• Reservoirmanagementanddamoperationdecisionareimproved,leadingto
betterallocationofwaterresources,fewercatastrophicfloodevents,andmoreandmoreefficientrenewableenergyproduction
Dataneeds/gaps
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• Dataformat,structure,access– Currentlyourchron jobsaccesssatellitealtimetrydatainnetCDF format.Provideanswerstoonlinequeriesastablesanddownloadablecsvandjson
• Models– Typicallyintegrateintohydrologymodel(VIC)– Agenciesmaylaterconnectthistohydrodynamicmodels(e.g.,MIKE,HECseries)
• Simplyhavingobservationswheregroundobservationsdonotexistorarenotsharedcanberevolutionary.Stillneedtounderstandandbeabletocommunicateassumptionsanduncertainties.
• Latencyandsampling:nextslide
SWOT’sRelevance
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• Latencyandsampling:weneedhelpfromthesatellitealtimetrysciencecommunityinourunderstandingofbestuseofdatainreal-lifeapplications:– E.g.,“towhatextentcanweexpecttoimprovecurrentfloodDSSswithSWOT(andanysatellitealtimetry)data,givensatelliteoverpassdayandfloodcrestandstage?”
• Uses(currentandpotentialfuture):– Floodforecasting– Reservoirinflow/outflow– Droughtmonitoring– Waterbalanceandwaterresourcesmanagement
SupportSERVIRmayneedfromSWOT(orroadblockstoupdate)
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• Awarenessandunderstandingofgeodesyandsatellitealtimetrybasics
• DeterminingwhichbodiesofwatermeetcriteriaintermsofSWOT’sabilitytoresolveheight(makingsurewedon’ttrytomakesenseofnoise)
• UnderstandingthetimesSWOTdatawillandwillnotimprovedecisionsupportforvariousapplications,especiallyfloodforecasts(Latencyandsamplingschemementionedearlier)
Summary
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Our“lecture”totheSWOTMission,sinceyouasked…• Dolisten.Understanduniquedecisionmakingenvironmentsinside ofan
agencyandhowtheagencyinteractswithotheragencies/communitiesoutside (informationflowmapping)
• DohelpusbuildappropriateapplicationswithJason-1/2/3,AltiKa,andSentinel-3,today.
• Dotrainapplicationsusersthoughco-developmentofscienceapplicationsandnotonlythroughtrainingworkshops.
• DopayattentiontoARSET’sRemoteSensingTraining:MethodsandBestPractices(https://arset.gsfc.nasa.gov/all/webinars/best-practices-2016)
• Don’texpecttoreachalotofdecisionmakinguserswithexpensivesoftware.Whatcanwedowithcompletelyfree-and-opensolutions?
• Dofindthemultipliers/connectorsamongusers.• Dofindafewchampions.Thisrequirestrustandrelationshipbuilding
overalongperiodoftime.• Dorememberforwhatyourapplicationspartnersareheldaccountable.• Dofindpeopletotellyourstory(Don’tjusttellityourself).
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