GIS in Weather and Society Olga Wilhelmi Institute for the Study of Society and Environment National Center for Atmospheric Research Presentation Outline GIS basic concepts How GIS can be used in weather / society research and applications Current applications Emerging developments / potential use Example Front Range Flash Flood Project Breakout group and class discussions GIS Science and Technology GIS Science University Consortium for geographic Information Science (http://www.ucgis.org/) Center for Spatially Integrated Social Science (http://www.csiss.org/) Weather, Climate and GIS: NCAR GIS Initiative (http://www.gis.ucar.edu) Industry ESRI, MapInfo, Informix, PCRaster. More than 3000 vendors Standards Open Geospatial Consortium (OGC) Standards, specifications, middleware Geographic Information Systems Computer Mapping Capture Analyze People Store Display Software Data Query Output Hardware Database Management Procedures Spatial Analysis Organizing Spatial Data in a GIS The “G” in GIS = Geographic Weather Atmospheric Conditions Population Hydrology Topography Geology Image courtesy of ESRI (http://www.esri.com) Capturing Data Methods for inputting geographic (X,Y) and tabular (attribute) data Vast collection of geographically referenced data already exists in digital format Resources on the Web Satellite imagery, photography Coordinates (X, Y) – weather station locations Paper Maps Storing Data Vector formats Discrete representation of reality (points, lines, polygons) Raster formats Use square cells to model reality Query Identifying specific features Identifying and selecting features based on certain condition Analysis Proximity Overlay Network Spatial Statistics Display Maps Graphs Reports Output Paper Maps Images Internet Current use of GIS Mapping: visualization of information Data integration: integrating environmental and social data in a single framework allows to address interdisciplinary questions on weather-society interactions Data analysis: exploration of spatial patterns, relationships, networks; spatial statistics Data distribution: disseminating weather and climate science to broader audiences From Static to Dynamic Images courtesy of ESRI (http://www.esri.com) Ongoing and emerging research Spatial Interoperability Data formats Compatible Tools Multidimensional GIS (temporal, NetCDF) Scale Upscaling Downscaling Interpolation methods Standards Investigating coupled systems Impact assessment of earth system changes Meteorological Observations Radar mosaic and mobile surface temperature observations Outputs from GCMs Vulnerability of agricultural production and High Plains aquifer’s depleting water resources to predicted climate change in the Great Plains http://www.gisClimateChange.org Impacts of permafrost thawing on infrastructure: Siberia Potential applications for netCDF in GIS Mesoscale weather predictions Impacts of extreme weather events Verification of model outputs Decision support and management Integration of weather forecast with socioeconomic data WRF forecast of Katrina in a GIS Case Study A Flash Flood Risk Assessment of the Colorado Front Range Region Using GIS 2005 SOARS project Braxton Edwards, University of Oklahoma (SOARS protégé) Olga Wilhelmi and Rebecca Morss, NCAR (SOARS mentors) Problem Yearly average of $4.5 Billion damage and 98 deaths between 1983 and 2003 Damage due to floods continues to rise as the population and property at risk increases Accurate risk assessments can aid in determining appropriate flood control, mitigation, and response strategies Study Area - Colorado Front Range Risk Assessment 4. Methods Risk = Exposure * Vulnerability What is risk? Risk = Exposure * Vulnerability Exposure takes into account the environmental conditions or hazard Vulnerability is a characteristic of a person or a group to cope with, resist and recover from a hazard Coping Proximity Probability Frequency Intensity Duration Preparedness Recovery Use the risk equation to identify primary exposure and vulnerability factors contributing to the risk of flooding in the Front Range. Use GIS for data integration, analysis, and mapping of the flash flood risk zones in Vulnerability Assessment Demographic vulnerability Identify Vulnerability Factors 65_up Hispanic Female Renter classificatio n weighting Total Vulnerability Critical Facilities Exposure assessment 6 hour 3 hour 1 hour Radar rainfall Basin average rainfall Basin Average FFG FFG Exposure Watershed boundaries Watersheds Risk=Exposure*Vulnerability Flood Exposure Urban areas Vulnerability Case 1 Case 2 Fort Collins 1,3, and 6 Hour Rain Accumulation Denver 6 Hour Rain Accumulation Total Risk Breakout Group Discussions Vulnerability assessment: Develop your own weighting system that adds to 100. These are your layers: • population density • renters • females • female households with at least one child • Hispanic households • children younger than 5 years old • children between 5 and 17 years old • population over 65 years old Discuss results in class Mapping and visualization GIS in weather and society GIS is a useful tool to study problems when people matter GIS is a useful tool for integrative research Ongoing research in Atmo-GIS offers new potentials