Global Runoff Data Processing for ND-GAIN Index
- Project Period: 2014
- GIS Lead: Milan Budhathoki
- Project Lead: ND-GAIN
Geospatial Analysis Lab (GAL) is providing GIS services to the ND-GAIN ( Notre Dame Global Adaptation Index). Major resposibilites are but not limited to: research geospatial data related to GAIN index parmeters , GIS data pre-processing and post processing, collaborate with ND-GAIN collaborators .GAL is currently working on runoff data for 176 countries listed in ND-GAIN. This project will utilized GIS data shared by WRI (World Research Institute) that agrees data sharing plan with ND-GAIN. Runoff data are output from 6 different models produced by WRI that has historic runoff 1950-2005 and current/future runoff 2006-2100.GAL will secularly process GIS data to meet ND-GAIN need. Raster and vector data will be processed using ArcGIS software and python automation.
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