Evaluating an Earth system model from a water manager perspective

The large spatial scale of global Earth system models (ESMs) is often cited as an obstacle to using the output by water resource managers in localized decisions. Recent advances in computing have improved the fidelity of hydrological responses in ESMs through increased connectivity between model components. However, the models are seldom evaluated for their ability to reproduce metrics that are important for and resonate with practitioners or that allow practitioners to situate higher-resolution model outputs within a cascade of uncertainty stemming from different models and scenarios. We draw on the combined experience of the author team and water manager workshop participants to identify salient water management metrics and evaluate whether they are credibly reproduced over the conterminous USA by the Community Earth System Model v2 (CESM2) Large Ensemble. We find that, while the exact values may not match the observations, aspects such as interannual variability can be reproduced by CESM2 for the mean wet day precipitation and length of dry spells. CESM2 also captures the proportion of total annual precipitation that derives from the heaviest rain days in watersheds that are not snow-dominated. Aggregating the 7 d mean daily runoff to two-digit Hydrological Unit Code (HUC2) watersheds also shows that rain-dominated regions capture the timing and interannual variability of annual maximum and minimum flows. We conclude that there is potential for far greater use of large-ensemble ESMs, such as CESM2, in long-range water management decisions to supplement high-resolution regional projections.

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Author Tye, Mari
Ge, Ming
Richter, Jadwiga H.
Gutmann, Ethan D.
Rugg Stebbins, Allyson Lyman Rugg
Bruyere, Cindy L.
Haupt, Sue Ellen
Lehner, Flavio
McCrary, Rachel
Newman, Andrew J.
Wood, Andrew
Publisher UCAR/NCAR - Library
Publication Date 2025-02-28T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2025-07-10T19:54:11.613125
Metadata Record Identifier edu.ucar.opensky::articles:43056
Metadata Language eng; USA
Suggested Citation Tye, Mari, Ge, Ming, Richter, Jadwiga H., Gutmann, Ethan D., Rugg Stebbins, Allyson Lyman Rugg, Bruyere, Cindy L., Haupt, Sue Ellen, Lehner, Flavio, McCrary, Rachel, Newman, Andrew J., Wood, Andrew. (2025). Evaluating an Earth system model from a water manager perspective. UCAR/NCAR - Library. https://n2t.net/ark:/85065/d7wq0850. Accessed 11 August 2025.

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