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

Sci Data. 2022 Jan 20;9(1):16. doi: 10.1038/s41597-022-01123-w.

Authors

Hoang Tran¹, Jun Zhang², Mary Michael O'Neill³, Anna Ryken⁴, Laura E Condon², Reed M Maxwell^{5

6}

Affiliations

¹ Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA. hoangtran@Princeton.edu.
² Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ, USA.
³ NASA/GSFC, Greenbelt, USA.
⁴ Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, USA.
⁵ Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
⁶ High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.

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.

Grants and funding

1835903/National Science Foundation (NSF)