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).