IRI Data Library: enhancing accessibility of climate knowledge
M. Benno Blumenthal, Michael Bell, John del Corral, Rémi Cousin, and Igor Khomyakov
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
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 TechnologySemantics Framework
Barriers: Technology constraints
Barriers: Access in relevant and timely manner
Barriers: Uptake of Climate Information
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 TechnologySemantics Framework
Ingrid Data LanguageIRI science
Barriers: Technology constraints
Barriers: Access in relevant and timely manner
Barriers: Uptake of Climate Information
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 TechnologySemantics Framework
Ingrid Data LanguageIRI science
Internet-based technologyServing dataMaprooms
Barriers: Technology constraints
Barriers: Access in relevant and timely manner
Barriers: Uptake of Climate Information
The birth and life of the IFRC Maprooms
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
The birth and life of the IFRC MaproomsNew relevant information identified: seasonal forecast and context (historical, socio-economics)
The birth and life of the IFRC MaproomsNew relevant information identified: seasonal forecast and context (historical, socio-economics)
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
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)
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 TechnologySemantics Framework
Ingrid Data LanguageIRI science
Internet-based technologyServing dataMaprooms
MaproomsTraining toolTechnology Transfer
Barriers: Technology constraints
Barriers: Access in relevant and timely manner
Barriers: Uptake of Climate Information
Resources and Funding• CCAFS• CSIRO• IICA – INMET• NASA• NIH• NOAA• NSF• RISE• Uruguay Ministry of Agriculture• USAID CCRD• USAID E3• USAID IFAD• USAID UPLBFI
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.