Evidence map›Paper›PMID 41315458›Full record

ArticleScientific data2025

GDROM v2: An Inventory of Operation Variables Time Series and Rules for 2,017 Large Reservoirs across the CONUS.

Zihan Zheng, Ximing Cai, Linshui Zhang, James Li, Yanan Chen

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In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zihan ZhengDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Ximing CaiDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA. xmcai@illinois.edu.
Linshui ZhangDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
James LiDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Yanan ChenDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reservoir operation plays a central role in water management, satisfying diverse human demands and simultaneously influencing hydrologic processes. Yet for most reservoirs, the lack of complete daily operation records and realistic operation rules constrains their representation in large-scale hydrological models. To address this, we present GDROM v2, a nationwide dataset of 2,017 reservoirs across the Contiguous United States (CONUS), building upon the original GDROM of 452 reservoirs. GDROM v2 provides (1) daily time series of inflow, release, and storage variables, integrated through data fusion of existing datasets and reconstructed estimates; (2) operation rules adopted from original GDROM for data-rich reservoirs and derived for data-limited reservoirs using transfer learning. Validation results show that the reconstructed variable time series reasonably agree with observations; derived operation rules outperform existing benchmark models across diverse data availability conditions. GDROM v2, publicly available via an open-data platform (Hydroshare.org), offers the largest collection of reservoir operation variables time series and realistic operation rules across the CONUS, providing a useful resource for hydrological modeling and water management studies.

Identifiers

PMID41315458
PMCPMC12663587

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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.