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Data release for integrating remotely sensed surface water dynamics in hydrologic signature modeling

Dates

Publication Date
Start Date
2016-01-01
End Date
2023-12-31

Citation

Vanderhoof, M.K., Nieuwlandt, P., Golden, H.E., Lane, C.R., Christensen, J.R., Keenan, W., and Dolan, W., 2024, Data release for integrating remotely sensed surface water dynamics in hydrologic signature modelling: U.S. Geological Survey data release, https://doi.org/10.5066/P9RLFMEQ.

Summary

Variability in river discharge, particularly very high flow and low flow conditions, has far-reaching environmental and economic consequences. The retention of water in surface storage, concentrated in lakes, ponds, wetlands, floodplains, and temporary water in flood prone areas, can potentially contribute to flow generation and flood regulation. However, the impact of surface water storage on river discharge can be challenging to isolate and quantify. A suite of hydrologic signatures were generated for 72 gages across the conterminous United States. The hydrologic signatures were selected to characterize all flows as well as isolating high and low flows, and machine learning models were developed to explain watershed variability in [...]

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Attached Files

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EntityandAttribute_DataDictionary_2016_2023.csv 572 Bytes text/csv
Inundation_2016_2023_classes.tif.zip 51.44 MB application/zip

Purpose

The purpose of this study was to explore how surface water dynamics may influence the response of river discharge to high and low flow conditions, as reflected by hydrologic signatures.

Rights

This work is marked with Creative Commons Zero v1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/).

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9RLFMEQ

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