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Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information

Dates

Publication Date
Start Date
2010-10-01
End Date
2016-09-30

Citation

Rahmani, F., Lawson, K., Ouyang, W., Appling, A.P., Oliver, S.K., and Shen, C., 2020, Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: U.S. Geological Survey data release, https://doi.org/10.5066/P97CGHZH.

Summary

This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020).<\p>

Contacts

Attached Files

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gage_locations.zip 7.81 KB application/zip

Purpose

Decision support, water quality research, and advancement of machine learning in hydrology

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