RMRS Air, Water, & Aquatic Environments Science Program USFS RMRS Boise Lab Modeled Stream Flow Metrics

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RMRS Home > Science Program Areas > Air, Water and Aquatics > Research Subjects > Stream Flow Metric Dataset

 

Western US Stream Flow Metric Dataset


Modeled Stream Flow Metrics Coverage Area Map - A dataset of modeled flow metrics for streams in major river basins of the Western US for historical and future climate change scenarios

A dataset of modeled flow metrics for streams in major river basins of the Western US for historical and future climate change scenarios

Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes and aquatic organisms. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US (extent shown on the map to the left) 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. Trout Unlimited and 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 (NHD) in the western US, excluding larger rivers. Datasets are available for the historical period 1978-1997 and future scenarios associated with the A1B emissions scenario for the 2040s and 2080s, including (1) the ensemble mean of 10 global climate models (GCMs), (2) MIROC3.2, a GCM that projects a warmer and drier summers than the ensemble mean, and (3) PCM1, a model that projects cooler and wetter summers than the ensemble mean. Please see the Dataset Description for more information and important caveats on data accuracy and appropriate use.

 

Science Briefing Paper (pdf)

 

Modeled Stream Flow Metrics Download Link - A dataset of modeled flow metrics for streams in major river basins of the Western US for historical and future climate change scenarios
Dataset Downloads

Coastal PNW

Interior Columbia

Upper Missouri

Platte

Great Basin

Upper Colorado

 

Extent Shapefile (zip)

 

 

 

Modeled Stream Flow Metrics Publications

Publications and Documentation

Dataset Description (updated 27 June 2011)

 

Wenger, Seth J.; Luce, Charles H.; Hamlet, Alan F.; Isaak, Daniel J.; Neville, Helen M.  2010.  Macroscale hydrologic modeling of ecologically relevant flow metrics.   Water Resources Research. 46: W09513. doi:10.1029/2009WR008839.

 

Wenger, S., D. Isaak and C. Luce, 2010. Comparison of hydrologic predictions from the Variable Infiltration Capacity (VIC) model and the MC1 model to observed gage data in the region around the Shoshone National Forest. Trout Unlimited/ US Forest Service Rocky Mountain Research Station, Boise, ID.

 

Modeled Stream Flow Metrics Briefing Paper

 

 

 

Auxiliary Resources and Links for streamflow data model
Auxiliary Resources and Links

Stream Segment- Subwatershed Link File
Hydrologic metrics can be summarized by subwatershed (12-digit hydrologic unit code) or higher-level watersheds or basins. Use the following table to link stream segments to their corresponding 12-digit hydrologic unit codes. [zipped ccomid-huc12-all.zip file]

 

NHD Plus


Climate Impacts Group, University of Washington


Trout Unlimited Science Page

 

 

 

 

Contact

Seth Wenger

email:swenger [at] tu.org

phone: 208-373-4386

 

Charlie Luce

email: cluce [at] fs.fed.us

phone: 208-373-4382


Related Websites

SSN & STARS: Tools for Spatial Statistical Modeling on Stream Networks

 

Reconditioned NHD Plus Streams (GIS) for Spatial Models

 

NorWeST Stream Temperature Regional Database and Model

 

Stream Temperature Modeling and Monitoring

 

2011 Climate-Aquatics Decision Support Workshop

 

Climate-Aquatics Blog

 

 

 

 

 

 

 

 

Rocky Mountain Research Station - Air, Water and Aquatic Environments Sciences Program
Last Modified:  Thursday, 03 April 2014 at 11:31:31 CDT

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