A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Hoang Tran; Jun Zhang; Mary Michael O’Neill; Anna Ryken; Laura E. Condon; Reed M. Maxwell

doi:10.1038/s41597-022-01123-w

A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Hoang Tran, Jun Zhang, Mary Michael O’Neill, Anna Ryken, Laura E. Condon, Reed M. Maxwell

Hydrology and Atmospheric Science

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

This article presents a hydrological reconstruction of the Upper Colorado River Basin with an hourly temporal resolution, and 1-km spatial resolution from October 1982 to September 2019. The validated dataset includes a suite of hydrologic variables including streamflow, water table depth, snow water equivalent (SWE) and evapotranspiration (ET) simulated by an integrated hydrological model, ParFlow-CLM. The dataset was validated over the period with a combination of point observations and remotely sensed products. These datasets provide a long-term, natural-flow, simulation for one of the most over-allocated basins in the world.

Original language	English (US)
Article number	16
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01123-w
State	Published - Dec 2022

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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10.1038/s41597-022-01123-w

Cite this

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title = "A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019",

abstract = "This article presents a hydrological reconstruction of the Upper Colorado River Basin with an hourly temporal resolution, and 1-km spatial resolution from October 1982 to September 2019. The validated dataset includes a suite of hydrologic variables including streamflow, water table depth, snow water equivalent (SWE) and evapotranspiration (ET) simulated by an integrated hydrological model, ParFlow-CLM. The dataset was validated over the period with a combination of point observations and remotely sensed products. These datasets provide a long-term, natural-flow, simulation for one of the most over-allocated basins in the world.",

author = "Hoang Tran and Jun Zhang and O{\textquoteright}Neill, {Mary Michael} and Anna Ryken and Condon, {Laura E.} and Maxwell, {Reed M.}",

note = "Funding Information: High-performance computing for ParFlow-CLM simulations were provided by the National Center for Atmospheric Research Computational and Information Systems Laboratory. This work was supported by the US National Science CyberInfrastructure project, HydroFrame (NSF-OAC 1835903) and the IDEAS-Watersheds (DOE Office of Science) project. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

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doi = "10.1038/s41597-022-01123-w",

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AU - Maxwell, Reed M.

N1 - Funding Information: High-performance computing for ParFlow-CLM simulations were provided by the National Center for Atmospheric Research Computational and Information Systems Laboratory. This work was supported by the US National Science CyberInfrastructure project, HydroFrame (NSF-OAC 1835903) and the IDEAS-Watersheds (DOE Office of Science) project. Publisher Copyright: © 2022, The Author(s).

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A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

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Metadata record for: A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

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A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

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Metadata record for: A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Metadata record for: A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

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