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SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin

Dates

Publication Date
Start Date
1984
End Date
2012

Citation

Longley, Patrick C., Miller, Olivia L., Miller, Matthew P., Alder, Jay R., Bearup, Lindsay, Pruitt, Tom, Jones, Daniel K., Putman, Annie L., Rumsey, Christine A., and McKinney, Tim S., 2021, SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin: U.S. Geological Survey, https://doi.org/10.5066/P9AKEQWX.

Summary

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to estimate baseflow changes from historical (1984 - 2012) to thirty-year periods centered around 2030, 2050, and 2080 under warm/wet, median, and hot/dry climatic conditions. SPARROW is a spatially explicit hybrid statistical and process-based model that estimates mean baseflow over the simulation period in streams by linking monitoring data with information on watershed characteristics and baseflow sources, routed through a stream network. This USGS data release includes input and output files associated with SPARROW simulations of baseflow for 10 model runs. Model construction, calibration and results are described [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

sparrow_input_data.txt
“SPARROW Input Data”
6.34 MB text/plain
sparrow_output_data.zip
“SPARROW Output Data”
8.66 MB application/zip

Purpose

This USGS data release contains all of the input and output files needed to reproduce the model results described in Miller et al. 2021.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9AKEQWX
USGS_ScienceCenter https://www.sciencebase.gov/vocab/category/item/identifier Utah Water Science Center
USGS_MissionArea https://www.sciencebase.gov/vocab/category/item/identifier Water Resources
USGS_keywords https://www.sciencebase.gov/vocab/category/item/identifier Climatology, Hydrology, Water Quality, Water Resources

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