Articles | Volume 27, issue 17
https://doi.org/10.5194/hess-27-3241-2023
https://doi.org/10.5194/hess-27-3241-2023
Research article
 | 
08 Sep 2023
Research article |  | 08 Sep 2023

Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach

Samah Larabi, Juliane Mai, Markus Schnorbus, Bryan A. Tolson, and Francis Zwiers

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Latest update: 20 Nov 2024
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Short summary
The computational cost of sensitivity analysis (SA) becomes prohibitive for large hydrologic modeling domains. Here, using a large-scale Variable Infiltration Capacity (VIC) deployment, we show that watershed classification helps identify the spatial pattern of parameter sensitivity within the domain at a reduced cost. Findings reveal the opportunity to leverage climate and land cover attributes to reduce the cost of SA and facilitate more rapid deployment of large-scale land surface models.