Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-1117-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-1117-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2025
Research article |
| 28 Feb 2025
| 28 Feb 2025
Evaluating an Earth system model from a water manager perspective
NSF National Center for Atmospheric Research, Boulder, CO, USA
Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
Ming Ge
NSF National Center for Atmospheric Research, Boulder, CO, USA
Jadwiga H. Richter
NSF National Center for Atmospheric Research, Boulder, CO, USA
Ethan D. Gutmann
NSF National Center for Atmospheric Research, Boulder, CO, USA
Allyson Rugg
NSF National Center for Atmospheric Research, Boulder, CO, USA
Cindy L. Bruyère
Cooperative Programs for the Advancement of Earth System Science (CPAESS), UCAR, Boulder, CO, USA
Sue Ellen Haupt
NSF National Center for Atmospheric Research, Boulder, CO, USA
Flavio Lehner
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, USA
NSF National Center for Atmospheric Research, Boulder, CO, USA
Polar Bears International, Bozeman, MT, USA
Rachel McCrary
NSF National Center for Atmospheric Research, Boulder, CO, USA
Andrew J. Newman
NSF National Center for Atmospheric Research, Boulder, CO, USA
Andy Wood
NSF National Center for Atmospheric Research, Boulder, CO, USA
Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO, USA
Data sets
Data for Evaluating an Earth system model from a water manager perspective Mari Tye and Ming Ge https://doi.org/10.5281/zenodo.14611111
Short summary
There is a perceived mismatch between the spatial scales on which global climate models can produce data and those needed for water management decisions. However, poor communication of specific metrics relevant to local decisions is also a problem. We assessed the credibility of a set of water management decision metrics in the Community Earth System Model v2 (CESM2). CESM2 shows potentially greater use of its output in long-range water management decisions.
There is a perceived mismatch between the spatial scales on which global climate models can...
