SPARROW model input datasets and predictions of total dissolved solids loads in streams of the Upper Colorado River Basin watershed
Dates
Publication Date
2022-01-25
Start Date
1984
End Date
2012
Citation
Miller, M.P, Buto, S.G., Lambert, P.M., and Rumsey, C.A., 2022, SPARROW model input datasets and predictions of total dissolved solids loads in streams of the Upper Colorado River Basin watershed: U.S. Geological Survey data release, https://doi.org/10.5066/P9LO3JV2.
Summary
This data release contains bootstrap values of mean-annual total dissolved solids (TDS) loads predicted by a SPARROW model for individual stream reaches in the Upper Colorado River Basin watershed in the predict.txt file. Also included are the input variables required to execute the model, including dissolved solids sources, landscape characteristics, and calibration data from water quality monitoring stations in the input.txt file. Further details on model construction and results are described in Miller et al. (2017, https://doi.org/10.3133/sir20175009).
Summary
This data release contains bootstrap values of mean-annual total dissolved solids (TDS) loads predicted by a SPARROW model for individual stream reaches in the Upper Colorado River Basin watershed in the predict.txt file. Also included are the input variables required to execute the model, including dissolved solids sources, landscape characteristics, and calibration data from water quality monitoring stations in the input.txt file. Further details on model construction and results are described in Miller et al. (2017, https://doi.org/10.3133/sir20175009).
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TDS SPARROW metadata.xml Original FGDC Metadata
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99.47 KB
application/fgdc+xml
predict.txt
7.02 MB
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input.txt
1.27 MB
text/plain
Related External Resources
Type: Related Primary Publication
Miller, M.P., Buto, S.G., Lambert, P.M., and Rumsey, C.A., 2017, Enhanced and updated spatially referenced statistical assessment of dissolved-solids load sources and transport in streams of the Upper Colorado River Basin: U.S. Geological Survey Scientific Investigations Report, https://doi.org/10.3133/sir20175009.