A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments

In the Pacific Northwest, ensemble projected streamflow datasets are valuable for assessing vulnerabilities and the resilience of reservoir systems across the region. These datasets are typically generated using a climate-hydrologic modeling chain that begins with coarse-resolution outputs from selected Earth System Model (ESMs) and socioeconomic scenarios, which are spatially downscaled, followed by hydrologic simulations driven by the downscaled meteorological forcing. In this work, a calibrated catchment-based hydrology and river model is forced by ESM outputs for several socioeconomic scenarios from the archives of the Coupled Model Intercomparison Project phases 5 and 6, which are downscaled using a computationally efficient weather model. The dataset comprises twenty-nine daily hydrologic traces from 1950 to 2099 for 18,000 river reaches. The dataset also includes a retrospective hydrologic simulation forced by an observation-based meteorological dataset used for hydrologic model calibration. Naturalized flows for 221sites are used to assess historical simulation fidelity. This dataset supports a variety of applications including reservoir modeling, ecological impact assessments, and hydrologic analyses under historical to projected climate conditions.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-02-27
DOI
https://doi.org/10.1038/s41597-026-06865-5
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments

Michael D. Warner, C. D. Frans, Chanel Mueller, E. D. Gutmann et al.
Scientific Data
Environmental Monitoring and Data Management
article

A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments

Michael D. Warner, C. D. Frans, Chanel Mueller, E. D. Gutmann, Naoki Mizukami, Jane Harrell, Bart Nijssen, Andrew W. Wood
article en

Abstract

In the Pacific Northwest, ensemble projected streamflow datasets are valuable for assessing vulnerabilities and the resilience of reservoir systems across the region. These datasets are typically generated using a climate-hydrologic modeling chain that begins with coarse-resolution outputs from selected Earth System Model (ESMs) and socioeconomic scenarios, which are spatially downscaled, followed by hydrologic simulations driven by the downscaled meteorological forcing. In this work, a calibrated catchment-based hydrology and river model is forced by ESM outputs for several socioeconomic scenarios from the archives of the Coupled Model Intercomparison Project phases 5 and 6, which are downscaled using a computationally efficient weather model. The dataset comprises twenty-nine daily hydrologic traces from 1950 to 2099 for 18,000 river reaches. The dataset also includes a retrospective hydrologic simulation forced by an observation-based meteorological dataset used for hydrologic model calibration. Naturalized flows for 221sites are used to assess historical simulation fidelity. This dataset supports a variety of applications including reservoir modeling, ecological impact assessments, and hydrologic analyses under historical to projected climate conditions.

Scientific Data
NSF National Center for Atmospheric Research (US), United States Army Corps of Engineers (US), United States Bureau of Reclamation (US), University of Washington (US)
National Science Foundation, Bureau of Reclamation, U.S. Army Corps of Engineers
Clean water and sanitation
Openalex Percentile: Top 48%
Environmental Monitoring and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.