Echeverría, C., Ruiz-Pérez, G., Puertes, C., Samaniego, L., Barrett, B. and Francés, F. (2019) Assessment of remotely sensed near-surface soil moisture for distributed eco-hydrological model implementation. Water, 11(12), 2613. (doi: 10.3390/w11122613)
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Abstract
The aim of this study was to implement an eco-hydrological distributed model using only remotely sensed information (soil moisture and leaf area index) during the calibration phase. Four soil moisture-based metrics were assessed, and the best alternative was chosen, which was a metric based on the similarity between the principal components that explained at least 95% of the soil moisture variation and the Nash-Sutcliffe Efficiency (NSE) index between simulated and observed surface soil moisture. The selected alternative was compared with a streamflow-based calibration approach. The results showed that the streamflow-based calibration approach, even presenting satisfactory results in the calibration period (NSE = 0.91), performed poorly in the validation period (NSE = 0.47) and Leaf Area Index (LAI) and soil moisture were neither sensitive to the spatio-temporal pattern nor to the spatial correlation in both calibration and validation periods. Hence, the selected soil moisture-based approach showed an acceptable performance in terms of discharges, presenting a negligible decrease in the validation period (ΔNSE = 0.1) and greater sensitivity to the spatio-temporal variables’ spatial representation.
Item Type: | Articles |
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Additional Information: | The study was supported by the Spanish projects TETIS-MED (CGL2014-58127-C3-3-R) and TETISCHANGE (RTI2018-093717-B-100), the European project iAqueduct and the Paraguayan Funding Program BECAL. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Barrett, Dr Brian |
Creator Roles: | |
Authors: | Echeverría, C., Ruiz-Pérez, G., Puertes, C., Samaniego, L., Barrett, B., and Francés, F. |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GE Environmental Sciences |
College/School: | College of Science and Engineering > School of Geographical and Earth Sciences |
Journal Name: | Water |
Publisher: | MDPI |
ISSN: | 2073-4441 |
ISSN (Online): | 2073-4441 |
Copyright Holders: | Copyright © 2019 The Authors |
First Published: | First published in Water 11(12):2613 |
Publisher Policy: | Reproduced under a Creative Commons License |
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