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Layer: Roads: Historical vs. 2080 projections (ID: 0)

Name: Roads: Historical vs. 2080 projections

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Description: Percent change in bankfull flow between historical data and 2080 projections for road segments within 90 m of streams. Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes, aquatic organisms, and water resource management. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US under historical conditions and climate change scenarios. These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model produced by the University of Washington Climate Impacts Group. The US Forest Service Rocky Mountain Research Station used these model outputs to calculate a set of summary flow metrics to describe key attributes of the flow regime for each stream segment in the 1:100,000 scale National Hydrography Dataset (NHDPlus version 2, September 2012 snapshot) in the western US. Datasets are available for the historical period (1977-2006), the 2040s, and the 2080s. Future datasets (2040s and 2080s) are based on the ensemble mean of ten global climate models associated with the A1B emissions scenario. Please see the User Guide for more information and important caveats on appropriate use. https://www.fs.fed.us/rm/boise/AWAE/projects/modeled_stream_flow_metrics.shtml Existing Forest Service roads with attributes representing their characteristics. Each feature represents a segment of road where the attributes are the same. These attributes are generated from the II_ROAD_CORE_ATM table. This table contains nationally required descriptive attribute data that is stored within an Oracle database. Attributes apply either to the entire road or to some measured distance along the road.

Copyright Text: U.S. Forest Service; Wenger, S.J., C.H. Luce, A.F. Hamlet, D.J. Isaak, and H.M Neville. 2010. Macroscale hydrologic modeling of ecologically relevant flow metrics. Water Resources Research. 46: W09513. doi:10.1029/2009WR008839.

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