IRI Data Library: enhancing accessibility of climate knowledge

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Presentation transcript:

IRI Data Library: enhancing accessibility of climate knowledge Data Library Team

Database, tables, spreadsheets, GRIDB, netCDF, images, binary, servers, OpenDAP, THREDDS, shapefile Barriers: Technology constraints Generate knowledge Barriers: Access in relevant and timely manner Access to knowledge The crude source of information is available as data in files in various formats and coming from different sources worldwide We want decision makers to trigger informed actions based on that information There is a long way to go and obstacles to get there: Technological constraints in the first place make data files manipulation difficult to generate knowledge; once knowledge is generated, it needs to be effectively disseminated in a relevant and timely manner to make that knowledge accessible; finally decision-makers would use, understand and demand that information only if they had uptaken all the concepts behind it. Barriers: Uptake of Climate Information Informed action by decision-maker

Datasets Inter-operability mali cfsva2005 climate change.sav

Datasets Inter-operability

Generating Knowledge

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

Serving data

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

Desert Locust Control Support

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 Maprooms

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

Reach

Reach

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)

Madagascar Installation of Data Library software and training 30 Sep 2013.