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We are seeking to better understand networks among resource managers with respect to developing plans for climate change adaptation. We are pursuing this through a network analysis based on a survey of federal resource management staff and scientists in the southwestern and Midwestern U.S. Originally planned, this study was conceived to cover the Southwest and North Central Climate Science Centers, as defined by the USGS. In practice, surveys are most easily distributed within regions as defined by the federal resource agencies. Unfortunately, there is no uniform set of regions. We have tried to be comprehensive in our survey and cover at least the North Central and Southwestern Region.
This site is for data and information compilation and sharing related to the work of the Predictive Understanding of Multiscale Processes (PUMP) project. PUMP is advancing multi-scale, integrated modeling capabilities to address priority water resource issues within the Integrated Water Prediction (IWP) program, Integrated Water Science (IWS) Basin studies, Integrated Water Availability Assessments (IWAAs), and other relevant Water Mission Area (WMA) project efforts. Development and testing of modeling approaches occurs at multiple scales spanning national and sub-national domains.  Models will leverage physical process-driven approaches, data-driven approaches (statistical and machine learning (ML)), and hybrid...


    map background search result map search result map Climate Change and Federal Land Management: Assessing Priorities Using a Social Network Approach Climate Change and Federal Land Management: Assessing Priorities Using a Social Network Approach