TWIGA: How to achieve sustainability for in-situ observations on weather, water and climate?

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1 TWIGA: How to achieve sustainability for in-situ observations on weather, water and climate? GEO Week side-event on EU-Africa cooperation Mark Noort, October 29, 2018 H2020 project #776691

2 TWIGA 1 Transforming Weather, water and climate Information through in situ observations for Geo-services in Africa

3 Main objective 2 Provide currently unavailable geo-information on weather, water and climate for sub-saharan Africa by enhancing satellite-based geo-data with innovative in situ sensors and developing related information services that answer needs of African stakeholders and the GEOSS community.

4 Business logic objectives 3 1 Analysis and inventory of stakeholder and end-user needs for geo-information related to water, weather, and climate in sub-saharan Africa. 2 Seamless platform for delivery and ingestion of GEOSS and Copernicus data, app development, and geo-service delivery. This platform will deliver more than twenty services during the project and ensures continued growth afterwards. 3 Reach significant percentage (5%-10%) of African geo-service market through business development, staff training, and dissemination.

5 Scientific innovation objectives 4 4 Improved predictability and assessment of African rainfall by monitoring and mapping integrated precipitable water vapour and tracking convective storm systems. Short-term prediction of heavy storms will become comparable to those for European summer storms (1-SEEPS score increases from 0.1 to 0.3). 5 Produce science grade maps and time series of soil moisture, surface energy fluxes, and floods. 6 Produce accurate maps of land cover, land use, and crop status. 7 Deliver certified science grade geodata (atmosphere, hydrosphere, biosphere) to GEOSS, following OGC data standards, including calibration chain metadata.

6 Service sectors 5 Agriculture Insurance Energy Drinking water Disaster response and management

7 Overall structure of TWIGA and main information flows 6

8 Project partners 7 Technische Universiteit Delft Netherlands Imperial College of Science Technology and Medicine United Kingdom Helmholtz-Zentrum für Umweltforschung GMBH - UFZ Germany Politecnico di Milano Italy Uganda National Council for Science and Technology Uganda Kwame Nkrumah University of Science and Technology Ghana Strathmore University Kenya Kenya Meteorological Department Kenya South African Weather Service South Africa Trans-African Hydro-Meteorological Observatory Kenya Farmerline LTD Ghana Ghana Agricultural Insurance Pool Ghana Hydrologic Research BV Netherlands Geomatics Research & Development SRL Italy HCP international Netherlands Futurewater SL Spain Starlab Barcelona SL Spain Microstep-Mis SPOL SRO Slovakia

9 Building on the TAHMO network 8 School2School programme: > 90% of stations installed in schools

10 Possible business models (for smallholder farmers) 9 Freemium model: Free service provision of basic services to smallholders. A number of other clients pay for additional services Loyalty model: Free service provision avoid switching smallholder clients to competitor (also called direct revenue B2B in the case of a seed/nutrient supplier or indirect benefit in the case of a mobile telecom operator) Direct revenue B2C: The smallholder pays directly for a service Inclusive model: Paid service provision bundled into package, e.g. insurance coupled to credit, advisory to input supplies; the smallholder and/or other clients pay Service model: Client is paying (subsidized) fee for service provision; the subsidy can come from government or from another (farmers ) organization From the mid-term review of the Geodata for Agriculture and Water (G4AW) Facility

11 TWIGA Business Model Canvas 10

12 Context 11 That in situ data (and their regular provision) are lacking in Africa is recognised, but willingness-to-pay and (paying) capacity are concerns. Willingness-to-pay: the general trend is that governments facilitate the free delivery of in situ data; charging for in situ data therefore goes against the spirit of the time. Capacity to pay: even if African governments want to set up good quality and comprehensive in situ observation networks, there are budgetary and (institutional) capacity constraints. What are the options: identify actionable information that people are willing to pay for.

13 Agriculture 12 Value proposition: increased production & productivity, optimised inputs,reduced risk, improved livestock management Products/services: localised weather forecast, start of rainy season forecast, validation & calibration & value-added services for optimised inputs (including fodder) Paying clients: input providers, government, remote sensing companies Business model: loyalty, inclusive, service (government subsidy), direct revenue B2B (RS companies) Beneficiaries: farmers

14 Insurance Inclusive finance 13 Value proposition: profitable new market opportunities (insurers), more income security for smallholder farmers, improved quality of data & indices Products/services: combi of agriculture, disasters & (possibly) water for risk reduction Paying clients: financial service providers, insurance companies, government Business model: inclusive, service (government subsidy) Beneficiaries: smallholder farmers

15 Energy 14 Value proposition: profitable renewable (solar, wind) provision and better management of hydropower, solar and wind facilities Products/services: provision of in situ data, calibration & validation for assessing potential & operational monitoring, sensor systems Paying clients: energy companies, consultants Business model: direct revenue B2B (subscription) Beneficiaries: (rural) citizens

16 Drinking water & water management 15 Value proposition: water savings, resulting in more sustainable water use and better management of water as a scarce resource Products/services: (provision of in situ data for) hydrological modelling, water resource management planning & risk reduction, sensor systems Paying clients: water companies, consultants Business model: direct revenue B2B (subscription) Beneficiaries: (rural) citizens

17 Disaster response & management 16 Value proposition: simplifying early warning for floods & droughts to reduce costs, improve accuracy of forecasts Products/services: (improved drought monitoring, improved flood prediction, timely and more accurate forecasting of extreme events (evacuation plans), sensor systems Paying clients: government + clients for agriculture & finance, when services are bundled Business model: to be determined Beneficiaries: citizens

18 A bright idea is not enough awareness advantage affordability access blueprint validate prepare scale Benefit from AfriCultuReS marketing toolkit (covers agriculture, water (minus drinking water), inclusive finance and disasters); available November 2018

19 And: you are not alone! 18 Public-Private Partnerships are important! Investigate the role of national institutions and the private sector in the value chain for each option. firm value chain public goods government

20 Continuous monitoring is needed 19 marketing on-boarding navigation & content payment Benefit from AfriCultuReS marketing toolkit (covers agriculture, water (minus drinking water), inclusive finance and disasters); available November 2018

21 Further information and references: Thank you H2020 project #776691