Preprints
https://doi.org/10.5194/hess-2016-487
https://doi.org/10.5194/hess-2016-487
20 Sep 2016
 | 20 Sep 2016
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

A comparison between parameter regionalization and model calibration with flow duration curves for prediction in ungauged catchments

Daeha Kim, Ilwon Jung, and Jong Ahn Chun

Abstract. Streamflow prediction in ungauged catchments is essential for hydrological applications because most catchments in the world are ungauged. The flow duration curve (FDC) has received increasing attention as a criterion for calibration of runoff models in ungauged catchments; however, performance of the FDC-based model calibration was barely evaluated in comparison with parameter regionalization. In this study, we conducted a comparative assessment between the conventional proximity-based parameter regionalization and the model calibration with regional FDCs. Leave-one-out evaluations of the two methods showed that the proximity-based parameter regionalization outperformed the model calibration with regionalized FDCs in hydrograph prediction. No information of flow timing in FDCs seems to cause high uncertainty in flow predictions. The relative merits of the model calibration with regional FDCs were low bias in predicted flows and high reproducibility of the baseflow index. From the evaluation of flow signature reproducibility, it was indicated that the rising limb density is likely to be orthogonal to the FDCs, and thus additional conditioning with the rising limb density is expected to improve the model calibration with regional FDCs.

Daeha Kim, Ilwon Jung, and Jong Ahn Chun
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Daeha Kim, Ilwon Jung, and Jong Ahn Chun
Daeha Kim, Ilwon Jung, and Jong Ahn Chun

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Latest update: 19 Apr 2024
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Short summary
This article compares two approaches to prediction of streamflow at sites with no observations using a hydrological model. The main conclusion is that using model parameters obtained from neighboring gauged sites can have higher performance than calibrating the model to imperfect flow information inferred from neighboring flow data. For improving the model calibration with the inferred flow information, the average time to peak flow is better to be additionally considered.