On the value of satellite remote sensing to reduce uncertainties  of regional simulations of the Colorado River

Xiao, Mu; Mascaro, Giuseppe; Wang, Zhaocheng; Whitney, Kristen M.; Vivoni, Enrique R.

doi:https://doi.org/10.5194/hess-26-5627-2022

Articles | Volume 26, issue 21

https://doi.org/10.5194/hess-26-5627-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-5627-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 21

Research article

|

10 Nov 2022

Research article |

| 10 Nov 2022

On the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado River

Mu Xiao, Giuseppe Mascaro, Zhaocheng Wang, Kristen M. Whitney, and Enrique R. Vivoni

Supplement

https://doi.org/10.5194/hess-26-5627-2022-supplement

Data sets

MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid V061 NASA EOSDIS Land Processes DAAC Z. Wan, S.Hook, and G. Hulley https://doi.org/10.5067/MODIS/MYD11A1.061

MODIS/Aqua Snow Cover Monthly L3 Global 0.05Deg CMG, Version 61 D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MYD10CM.061

Model code and software

VIC5 source code, parameter for the Colorado River Basin and USBR natural flow data records M. Xiao https://doi.org/10.5281/zenodo.7115169

Short summary

As the major water resource in the southwestern United States, the Colorado River is experiencing decreases in naturalized streamflow and is predicted to face severe challenges under future climate scenarios. Here, we demonstrate the value of Earth observing satellites to improve and build confidence in the spatiotemporal simulations from regional hydrologic models for assessing the sensitivity of the Colorado River to climate change and supporting regional water managers.