Assessment of the WATCLASS hydrological model result of the Mackenzie River basin using the GRACE satellite total water storage measurement

2009 ◽  
Vol 23 (23) ◽  
pp. 3391-3400 ◽  
Author(s):  
Sitotaw Z. Yirdaw ◽  
Kenneth R. Snelgrove ◽  
Frank R. Seglenieks ◽  
Clement O. Agboma ◽  
Eric D. Soulis
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
Water Storage ◽  
Total Water ◽  
Mackenzie River Basin ◽  
Grace Satellite ◽  
Mackenzie River

scholarly journals Water Storage, Net Precipitation, and Evapotranspiration in the Mackenzie River Basin from October 2002 to September 2009 Inferred from GRACE Satellite Gravity Data

2011 ◽  
Vol 12 (3) ◽  
pp. 467-473 ◽  
Author(s):  
E. Morrow ◽  
J. X. Mitrovica ◽  
G. Fotopoulos
Keyword(s):  
River Basin ◽  
River Discharge ◽  
Linear Trend ◽  
Gravity Data ◽  
Water Storage ◽  
Model Errors ◽  
Satellite Gravity ◽  
Mackenzie River Basin ◽  
Grace Satellite ◽  
Mackenzie River

Abstract Gravity Recovery and Climate Experiment (GRACE) satellite gravity data are used to determine the variability of terrestrial water storage within the Mackenzie River basin from October 2002 to September 2009. During that period, it is estimated that there is no significant (7 yr) linear trend in the water storage after having accounted for postglacial rebound using the ICE-5G (VM2) ice sheet and Earth viscosity model. Errors in this model may alter this conclusion. The GRACE gravity data are also combined with precipitation and river discharge datasets to estimate trends in net precipitation and evapotranspiration in the basin. Net precipitation is seen to have a significant trend with a corresponding increase in river discharge. Evapotranspiration was found to be constant over the study period.

Stepwise improvement of hydrological models using satellite-based evaporation and total water storage estimations

2021 ◽  
Author(s):  
Markus Hrachowitz ◽  
Petra Hulsman ◽  
Hubert Savenije
Keyword(s):  
Model Calibration ◽  
Hydrological Model ◽  
Model Development ◽  
Water Storage ◽  
Spatiotemporal Variability ◽  
Model Structure ◽  
Hydrological Models ◽  
Total Water ◽  
Spatiotemporal Model ◽  
Multiple Variables

<p>Hydrological models are often calibrated with respect to flow observations at the basin outlet. As a result, flow predictions may seem reliable but this is not necessarily the case for the spatiotemporal variability of system-internal processes, especially in large river basins. Satellite observations contain valuable information not only for poorly gauged basins with limited ground observations and spatiotemporal model calibration, but also for stepwise model development. This study explored the value of satellite observations to improve our understanding of hydrological processes through stepwise model structure adaption and to calibrate models both temporally and spatially. More specifically, satellite-based evaporation and total water storage anomaly observations were used to diagnose model deficiencies and to subsequently improve the hydrological model structure and the selection of feasible parameter sets. A distributed, process based hydrological model was developed for the Luangwa river basin in Zambia and calibrated with respect to discharge as benchmark. This model was modified stepwise by testing five alternative hypotheses related to the process of upwelling groundwater in wetlands, which was assumed to be negligible in the benchmark model, and the spatial discretization of the groundwater reservoir. Each model hypothesis was calibrated with respect to 1) discharge and 2) multiple variables simultaneously including discharge and the spatiotemporal variability in the evaporation and total water storage anomalies. The benchmark model calibrated with respect to discharge reproduced this variable well, as also the basin-averaged evaporation and total water storage anomalies. However, the evaporation in wetland dominated areas and the spatial variability in the evaporation and total water storage anomalies were poorly modelled. The model improved the most when introducing upwelling groundwater flow from a distributed groundwater reservoir and calibrating it with respect to multiple variables simultaneously. This study showed satellite-based evaporation and total water storage anomaly observations provide valuable information for improved understanding of hydrological processes through stepwise model development and spatiotemporal model calibration.</p>

Multi-Stage Inversion Method to Retrieve Soil Moisture from Passive Microwave Measurements over the Mackenzie River Basin

2013 ◽  
Vol 12 (3) ◽  
pp. vzj2012.0134 ◽  
Author(s):  
Naira Chaouch ◽  
Robert Leconte ◽  
Ramata Magagi ◽  
Marouane Temimi ◽  
Reza Khanbilvardi
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Passive Microwave ◽  
Inversion Method ◽  
Microwave Measurements ◽  
Multi Stage ◽  
Mackenzie River Basin ◽  
Mackenzie River
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