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| Type: | Resource | |
| Storage: | The size of this resource is 3.4 MB | |
| Created: | May 11, 2026 at 5:39 p.m. (UTC) | |
| Last updated: | Jun 11, 2026 at 5:25 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Public |
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| Views: | 59 |
| Downloads: | 4 |
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Abstract
This data product is related to a journal article by Chuqiang Chen and Admin Husic entitled "Streamflow composition in U.S. rivers is shifting toward recent precipitation".
Abstract:
The fraction of streamflow derived from recent precipitation—'event water’—profoundly impacts water quality and flood risk. We show that over the past four decades, this fraction has significantly increased in 27% of 754 U.S. catchments. We achieved the first continental-scale reconstruction by applying a deep learning model to a novel tracer dataset spanning nearly 24,000 storm events. Using explainability methods, we attribute intensifying precipitation, urbanization, and deforestation as the primary drivers. Event water fraction increases nearly two times more frequently than streamflow increases, indicating that for many rivers where streamflow trends are stationary, the composition of streamflow is changing. These results reveal a widespread shift towards the rapid conversion of precipitation to streamflow by watersheds, signaling a need to adapt water management strategies for a future of accelerating climate and land-use pressures.
Subject Keywords
Content
README.txt
# Decadal reconstruction of event water fraction across CONUS ## This repository provides code and data for the reconstruction of event water fraction across 754 sites from 1986 to 2024. ### /data Annual Flow and Drivers.xlsx: annual event water, pre-event water, streamflow, event water fraction, and drivers.
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | CAREER: Dynamic connectivity: a research and educational frontier for sustainable environmental management under climate and land use uncertainty | 2438017 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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