1. IRI Data Library: enhancing accessibility of climate knowledge M. Benno Blumenthal, Michael Bell, John del Corral, Rémi Cousin, and Igor Khomyakov

2. Problem? Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Informed action by decision-maker Generate knowledge Access to knowledge Barriers: Technology constraints Barriers: Access in relevant and timely manner Barriers: Uptake of Climate Information

3. Datasets Inter-operability mali cfsva2005 climate change.sav

4. Datasets Inter-operability

5. Problem? Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Informed action by decision-maker Generate knowledge Access to knowledge Solution! Data Library Technology Semantics Framework Barriers: Technology constraints Barriers: Access in relevant and timely manner Barriers: Uptake of Climate Information

6. Generating Knowledge

7. Problem? Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Informed action by decision-maker Generate knowledge Access to knowledge Solution! Data Library Technology Semantics Framework Ingrid Data Language IRI science Barriers: Technology constraints Barriers: Access in relevant and timely manner Barriers: Uptake of Climate Information

8. Serving data

9. Problem? Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Informed action by decision-maker Generate knowledge Access to knowledge Solution! Data Library Technology Semantics Framework Ingrid Data Language IRI science Internet-based technology Serving data Maprooms Barriers: Technology constraints Barriers: Access in relevant and timely manner Barriers: Uptake of Climate Information

10. The birth and life of the IFRC Maprooms

11. If floods relate to unusual rainfall, does this map tell where rainfall is unusual? No! Need for historical context: Compare current 6-day forecast with historical 30-year average same 6-day period Need for a new dataset

12. The birth and life of the IFRC Maprooms

13. New relevant information identified: seasonal forecast and context (historical, socio-economics)

14. The birth and life of the IFRC Maprooms New relevant information identified: seasonal forecast and context (historical, socio- economics)

15. The birth and life of the IFRC Maprooms

17. More Maprooms

18. Training Tool Summer Institute for professionals of climate and health in Lamont – reproduced locally in Andean countries, Mercosur countries, Ethiopia, Madagascar. Training on the Fire Maprooms in Indonesia Columbia University classes Etc. Let trainee think the abstract of data manipulation and focus on actual scientific analysis therefore helping the uptake of IRI science behind the generated knowledge

19. Technology Transfer NMA (Ethiopia) TMA (Tanzania) AGRHYMET (West Africa) CEAZA (Chile) ACMAD (Africa) IIT-Delhi (India) IMD (India) CAZALAC (LAC) CCROM (Indonesia) Syngenta Nairobi (East Africa)

20. Problem? Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Informed action by decision-maker Generate knowledge Access to knowledge Solution! Data Library Technology Semantics Framework Ingrid Data Language IRI science Internet-based technology Serving data Maprooms Training tool Technology Transfer Barriers: Technology constraints Barriers: Access in relevant and timely manner Barriers: Uptake of Climate Information

21. Reach

22. Resources and Funding CCAFS CSIRO IICA – INMET NASA NIH NOAA NSF RISE Uruguay Ministry of Agriculture USAID CCRD USAID E3 USAID IFAD USAID UPLBFI

23. New Challenges and Vision A community of Data Library Developers Worldwide who address data issues, tool development, etc. Stronger semantic framework to allow more automatic analyses Better management of provenance of any analysis and graphics for accurate referencing Introduce parallel computation to improve efficiency Solid work done to disseminate public health information: pursue the same for Agriculture, Water Management, etc.

24. Ingridly yours