the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating an Earth system model from a water user perspective
Ming Ge
Jadwiga H. Richter
Ethan D. Gutmann
Allyson Rugg
Cindy L. Bruyère
Sue Ellen Haupt
Flavio Lehner
Rachel McCrary
Andrew J. Newman
Andrew Wood
Abstract. The large spatial scale of global Earth system models (ESM) 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 practitioners, or present the results in a manner that resonates with the users. We draw on the combined experience of the author team and stakeholder workshop participants to identify salient water resource metrics and evaluate whether they are credibly reproduced over the conterminous U.S. by the Community Earth System Model v2 Large Ensemble (CESM2). We find that while the exact values may not match 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 annual total precipitation that derives from the heaviest rain days in watersheds that are not snow-dominated. Aggregating the 7-day mean daily runoff to the watershed scale also shows rain-dominated regions capture the timing and interannual variability in annual maximum and minimum flows. We conclude there is potential for far greater use of large ensemble ESMs, such as CESM2, in long-range water resource decisions to supplement high resolution regional projections.
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Mari R. Tye et al.
Status: open (until 15 Dec 2023)
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RC1: 'Comment on egusphere-2023-2326', Anonymous Referee #1, 06 Dec 2023
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The authors evaluate the performance of an earth system model (ESM), CESM2, in terms of a set of water availability metrics that support decision making. Here they focus on rainfall and runoff metrics. They found that, although the 100km resolution ESM may not match observations closely, it produces plausible and useful metrics for decision makers. This is from a very interesting perspective, i.e., from a water user perspective. However, the quality of the presentation needs to be improved.
As a person who is not familiar to CESM2, I would appreciate the authors could provide more information regarding the model, like a diagram of the model structure in the appendix, in addition to the sentences at the beginning of Section 3.1 and the reference to the model.
Since CESM2 still perform poorly on some metrics such as WDV and some regions including snow-dominated and mountainous regions, can the authors make some suggestions on how the model could be improved in the future?
Here the authors focus on the HUC2 regions. I am worried that the scale might be too big for local decision makers. Why not using a smaller HUC, e.g., HUC4?
For evaluation, the authors use VIC outputs here, which are model results. Is there a plan to compare with in-situ runoff observations in the future?
Why do the authors use SSP2-4.5 here, not a SSP showing severe climate changes?
Specific comments:
Line 115: Which users here? Do the authors mean the model users?
Line 116: I think the bracket is in the wrong location, and it should be “(N95)”.
Line 213-215: It is hard to observe the similar annual variability in WDV between CESM2 and Livneh from Fig 3cd. Maybe show relative values.
Line 403: What is the higher resolution here?
Citation: https://doi.org/10.5194/egusphere-2023-2326-RC1
Mari R. Tye et al.
Mari R. Tye et al.
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