IRI/LDEO Climate Data Library

M.Benno Blumenthal, Michael Bell, John del Corral, Remi Cousin, and Haibo Liu

International Research Institute for Climate and Society

Columbia University

http://iridl.ldeo.columbia.edu/

Structure leads to powerful applications

• The Data Library's open data model and ability to create networks of virtual web pages and resources leads to some powerful applications

Overview

IRI Data Collection

Generalized Data Tools

Specialized Data Tools

Dataset • Dataset •Dataset

•Variable•ivar•ivar

multidimensional

Data Viewer Data Language

Maproom

URL/URI for data, calculations, figs, etc

Possible Projects

• Maproom into SEVIR Viz

• Maproom into Google Earth

• Integration with Open Health Mapper

• Standalone Data Library

• Semantic Translation for Data Discovery

• Establish Process for USAID maproom development

• Facilitating climate journalism

WMS and KML: land cover

(link:figure page)

IRI General Data Tools

WMS and KML: precipitation(link: figure page)

IRI General Data Tools

Integration with Open Health Mapper

Standalone Data Library

• Essentially a miniaturization of Data Library Server

• Clean packaging of all components

• Retrieving/Storing/Updating partial dataset copies

Semantic Translation of Data Catalogs

• SERVIR Viz Data Widget

• Google Earth Data Discovery (web interface)

• Google Earth Data Discovery (folders)

• Climate 1-stop Data Discovery

Faceted Search (link)

Process for USAID Maprooms

IFRC Model

• Determining needs

• Determining data

• Building prototype and iterating

• Deploying in multiple media

Faciliating Climate Journalism

• Providing tools/information for writers to inform their audiences

Possible Projects

• Maproom into SEVIR Viz

• Maproom into Google Earth

• Integration with Open Health Mapper

• Standalone Data Library

• Semantic Translation for Data Discovery

• Establish Process for USAID maproom development

• Facilitating climate journalism