Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Preprints
https://doi.org/10.5194/hess-2020-179
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-179
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 May 2020

15 May 2020

Review status
A revised version of this preprint is currently under review for the journal HESS.

Climate change impacts model parameter sensitivity – What does this mean for calibration?

Lieke Anna Melsen1 and Björn Guse2,3 Lieke Anna Melsen and Björn Guse
  • 1Hydrology and Quantitative Water Managemement, Wageningen University, Wageningen, the Netherlands
  • 2GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany
  • 3Christian-Albrechts-University of Kiel, Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany

Abstract. Hydrological models are useful tools to explore the hydrological impact of climate change. Many of these models require calibration. A frequently employed strategy is to calibrate the five parameters that were found to be most relevant as identified in a sensitivity analysis. However, parameter sensitivity varies over climate, and therefore climate change could influence parameter sensitivity. In this study we explore the change in parameter sensitivity within a plausible climate change rate, and investigate if changes in sensitivity propagate into the calibration strategy. We employed three frequently used hydrological models (SAC, VIC, and HBV), and explored parameter sensitivity changes across 605 catchments in the United States by comparing a GCM-forced historical and future period. Consistent among all models is that the sensitivity of snow parameters decreases in the future. Which parameters increase in sensitivity is less consistent among the models. In 43 % to 49 % of the catchments, dependent on the model, at least one parameter changes in the future in the top-5 most sensitive parameters. The maximum number of changes in the parameter top-5 is two, in 2–4 % of the investigated catchments. The value of the parameters that enter the top-5 cannot easily be identified based on historical data, because the model is not yet sensitive to these parameters. This requires an adapted calibration strategy for long-term projections, for which we provide several suggestions. The disagreement among the models on processes becoming relevant in future projections also calls for a strict evaluation of the adequacy of the model structure and the model parameters implemented therein.

Lieke Anna Melsen and Björn Guse

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Lieke Anna Melsen and Björn Guse

Lieke Anna Melsen and Björn Guse

Viewed

Total article views: 499 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
358 125 16 499 9 11
  • HTML: 358
  • PDF: 125
  • XML: 16
  • Total: 499
  • BibTeX: 9
  • EndNote: 11
Views and downloads (calculated since 15 May 2020)
Cumulative views and downloads (calculated since 15 May 2020)

Viewed (geographical distribution)

Total article views: 437 (including HTML, PDF, and XML) Thereof 437 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 28 Sep 2020
Publications Copernicus
Download
Short summary
Certain hydrological processes become more or less relevant when the climate changes. This should also be visible in the models that are used for long term predictions of river flow as a consequence of climate change. We investigated this, using three different models. The change in relevance should be reflected in how the parameters of the models are determined. In the different models, different processes become more relevant in the future: they disagree with each other.
Certain hydrological processes become more or less relevant when the climate changes. This...
Citation