Evidence map›Paper›PMID 41760686›Full record

ArticleScientific data2026

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

Naoki Mizukami, Ethan D Gutmann, Andrew W Wood, Bart Nijssen, Jane M Harrell, Christopher D Frans, Michael D Warner, Chanel Mueller

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Naoki MizukamiNSF National Center for Atmospheric Research, Boulder, CO, USA. mizukami@ucar.edu.ORCID http://orcid.org/0000-0002-0893-5869
Ethan D GutmannNSF National Center for Atmospheric Research, Boulder, CO, USA.ORCID http://orcid.org/0000-0003-4077-3430
Andrew W WoodNSF National Center for Atmospheric Research, Boulder, CO, USA.
Bart NijssenUniversity of Washington, Civil and Environmental Engineering, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4062-0322
Jane M HarrellUS Army Corps of Engineers, Institute for Water Resources, Alexandria, VA, USA.
Christopher D FransBureau of Reclamation, Research and Development Office, Denver, CO, USA.
Michael D WarnerU.S. Army Corps of Engineers, Seattle District, USA.
Chanel MuellerU.S. Army Corps of Engineers, Headquarters, Washington, DC, USA.

Funding

United States Department of Defense | United States Army | U.S. Army Corps of Engineers (US Army Corps of Engineers) HQUSACE17IIS/003United States Department of Defense | United States Army | U.S. Army Corps of Engineers (US Army Corps of Engineers) IPA000-20-0-0008United States Department of Defense | United States Army | U.S. Army Corps of Engineers (US Army Corps of Engineers) W26HM411547729United States Department of Defense | United States Army | U.S. Army Corps of Engineers (US Army Corps of Engineers) W26HM432051757United States Department of Defense | United States Army | U.S. Army Corps of Engineers (US Army Corps of Engineers) W26HM432051759
6 · The paper itself

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.

Identifiers

PMID41760686
PMCPMC13179324

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.