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Use of Satellite Rainfall Estimates for Improving Climate Services in Africa Tufa Dinku

Learn how satellite rainfall estimates are revolutionizing climate services in Africa by filling data gaps, improving access, and boosting the accuracy of meteorological information. This initiative has significant accomplishments, offering 30 years of spatially and temporally complete data and unprecedented online access in the region.

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Use of Satellite Rainfall Estimates for Improving Climate Services in Africa Tufa Dinku

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  1. Use of Satellite Rainfall Estimates for Improving Climate Services in Africa • Tufa Dinku • tufa@iri.columbia.edu • International Research Institute for Climate and Society • The Earth Institute at Columbia University • Collaborators: • The TAMSAT Group at University of Reading • National Meteorology Agency, Ethiopia • Tanzanian Meteorological Agency • The AGRHYMET Center, Niger • EUMETSAT • WMO

  2. Outline • Problems • Proposed Solutions • Implementation in Ethiopia • Significance and Next Steps

  3. I. Problems • Number of weather stations not adequate in most Africa • Most stations located in the cities along main roads •  Limited data over most of rural Africa • Serious gaps in observations (missing data) • Quality of available data not very good • Limited access and use of the available data

  4. II. Proposed Solutions Improving data availability: Quality control and combine local observations with global products such as satellite proxies and model reanalysis data  Global products help in filling spatial and temporal gaps Station measurements Global Products Combinedproduct

  5. II. Proposed Solution • Improving access and use: • Provide online-access to analysis tools and products • Develop products for specific applications • Train users to understand, demand, and use climate data • Facilitate the formation of community of practice

  6. III. Implementation in Ethiopia

  7. Implementation: Main Components • Training of NMA staff • Organizing and QC station data • Obtaining and processing raw METEOSAT data • Calibrating satellite rainfall algorithm • Generating climate time series • Redesigning NMA’s Web Page • Creating Climate Analysis and Applications Map Rooms

  8. Improved Data Availability Combined Gauge-Satellite, 1983-Current (10-daily @ 10km)

  9. Improved Access and Use:Improved Web Page

  10. Improved Access and Use:New Maprooms

  11. Improved Access and Use:Climate Monitoring Maproom

  12. Improved Access and Use:Climate Monitoring Maproom

  13. IV. Significance and Next Steps

  14. Significant Accomplishments • 2. Availability of 30-years of spatially and temporally complete data : “Gold mine” for research and applications • Organization and processing of 30-years of raw METEOSAT data • 3. Online access to this kind of information is unprecedented in Africa 4. Transfer of IRI Data Library Technology to NMS in Africa

  15. Next Steps Strengthen the Ethiopian case Test the approach in some countries Evaluate the approach 2. Scale-up to more countries

  16. Next Steps: The process so far: Tanzania: Completed

  17. Next Steps: The process so far: CILSS/AGRHYMET: 90 % Completed

  18. Next Steps: The process so far: Coming soon: Burkina, Mali, Niger, Madagascar

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