Publication Details

Reference Category Journals
DOI / URL link
Title (Primary) Assessment of remotely sensed near-surface soil moisture for distributed eco-hydrological model implementation
Author Echeverría, C.; Ruiz-Pérez, G.; Puertes, C.; Samaniego, L.; Barrett, B.; Francés, F.;
Journal Water
Year 2019
Department CHS;
Volume 11
Issue 12
Language englisch;
POF III (all) T53;
Keywords eco-hydrological modelling; remotely sensed soil moisture; objective-function; spatial correlation
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.

ID 22551
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22551
Echeverría, C., Ruiz-Pérez, G., Puertes, C., Samaniego, L., Barrett, B., Francés, F. (2019):
Assessment of remotely sensed near-surface soil moisture for distributed eco-hydrological model implementation
Water 11 (12), art. 2613