Next Article in Journal
Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
Previous Article in Journal
Reassessing Hydrological Processes That Control Stable Isotope Tracers in Groundwater of the Atacama Desert (Northern Chile)
Article Menu

Export Article

Open AccessArticle
Hydrology 2018, 5(1), 4; https://doi.org/10.3390/hydrology5010004

Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration

1
Department of Geography, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
2
Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
*
Author to whom correspondence should be addressed.
Received: 17 November 2017 / Revised: 21 December 2017 / Accepted: 22 December 2017 / Published: 27 December 2017
View Full-Text   |   Download PDF [3396 KB, uploaded 27 December 2017]   |  

Abstract

Many studies have shown that isotope data are valuable for hydrological model calibration. Recent developments have made isotope analyses more accessible but event sampling still involves significant time and financial costs. Therefore, it is worth to study how many isotope samples are needed for hydrological model calibration and what the most informative sampling times are. In this study, we used synthetic data to investigate how systematic errors in the precipitation, streamflow and the isotopic composition of precipitation affect the information content of stream isotope samples for model calibration. The results show that model performance improves significantly when two or three isotope samples are used for calibration and that the most informative samples are taken on the falling limb. However, when there are errors in the rainfall isotopic composition, rising limb samples are more informative. Data errors caused the most informative samples to be more clustered and to occur earlier in the event compared to error free data. These results provide guidance on when to sample events for model calibration and thus help to reduce the cost and effort in obtaining useful data for model calibration. View Full-Text
Keywords: measurement error; sampling strategy; value of data; isotopes; event-based model calibration measurement error; sampling strategy; value of data; isotopes; event-based model calibration
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Share & Cite This Article

MDPI and ACS Style

Wang, L.; van Meerveld, H.J.I.; Seibert, J. Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration. Hydrology 2018, 5, 4.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Hydrology EISSN 2306-5338 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top