Using a regionalisation approach to evaluate streamflow simulated by an ecohydrological model calibrated with global land surface evaporation from remote sensing

Odusanya, Abolanle E.; Schulz, Karsten; Mehdi, Bano

doi:10.1016/j.ejrh.2022.101042

Cited by 5 publications

(6 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thirdly, it may be attributed to weakness of regionalization approach using spatial proximity, since the rating curve used in this study to compute the streamflow at the outlet using stage data was located six kilometres upstream of the outlet point. A similar kind of trend was observed by Odusanya et al (2022) while calibrating the hydrological model for ungauged Ogun River Basin using the streamflow of Oueme River Basin. However, an attempt was made to eliminate the drawback due to spatial proximity by introducing a new approach with the integration of remote sensing datasets with river bathymetry obtained from echo‐sounder.…”

Section: Discussionsupporting

confidence: 82%

“…These uncertainties in the rainfall estimations may have led to poor model performance of the model during calibration with streamflow of Dhansiri River based physical similarity approach. Similar kind of drawbacks has been observed while using the physical similarity‐based regionalization approach for Oueme River basin and Ghareshoo area of Iran (Mosavi et al, 2021; Odusanya et al, 2022).…”

Section: Discussionsupporting

confidence: 60%

“…One of the main reasons behind the absence of weather gauge station in the upper reaches is the area is dominated by dense forest and they are mostly inhabitant.These uncertainties in the rainfall estimations may have led to poor model performance of the model during calibration with streamflow of Dhansiri River based physical similarity approach. Similar kind of drawbacks has been observed while using the physical similaritybased regionalization approach for Oueme River basin and Ghareshoo area of Iran(Mosavi et al, 2021;Odusanya et al, 2022).The calibration based on SSEBop datasets derived from MODIS fetched better result as compared to calibration using streamflow data based on physical similarity. Values of both SSEBop evapotranspiration and evapotranspiration simulated varied as per seasonal variability, but the evapotranspiration simulated from SWAT was having higher variability as compared to that of SSEBop evapotranspiration derived from MODIS.…”

supporting

confidence: 61%

See 2 more Smart Citations

Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Anand,

Oinam,

Wieprecht

et al. 2024

Hydrological Processes

View full text Add to dashboard Cite

Calibration of a hydrological model is a challenging task, especially in basins that are data scarce. With the incorporation of regional information and integration with satellite data, the parameters of hydrological models can be estimated for a basin with scant or no discharge records. The main objective of this study is to calibrate and validate a hydrological model based on a limited amount of in‐situ measured and remote sensing satellite datasets in a data‐sparse region. Multiple techniques were applied for the model calibration: (1) stage‐discharge curves using a spatial proximity approach, (2) Simplified Surface Energy Balance actual evapotranspiration, (3) river discharge using a physical similarity regionalization approach, and (4) a new hybrid approach by integrating remote sensing datasets along with field measured river bathymetry data to estimate the river discharge. To demonstrate the methodology, we employed the widely used Soil and Water Assessment Tool (SWAT) hydrological model in Manipur River Basin, India. The sensitivity, calibration, and validation of the SWAT model were carried out by using the Sequential Uncertainty Fitting Technique. During calibration, the coefficient of determination (R2) and the Kling Gupta Efficiency (KGE) were found to be in the range of 0.46–0.81 and 0.41–0.83, whereas during validation R2 and KGE were found to be in the range of 0.40–0.79 and 0.53–0.77 for the four different techniques. Among all the four techniques applied in this study, calibration based on (i) stage‐discharge curve using spatial proximity approach and (ii) new hybrid approach by integrating remote sensing datasets and river bathymetry were found as the better approaches as indicated by the statistical indices. The performance evaluation of the model through a new hybrid approach by integrating remote sensing and in‐situ measured datasets for rivers with narrow width represents a promising technique for use in a data sparse region.

show abstract

Section: Discussionsupporting

confidence: 82%

Section: Discussionsupporting

confidence: 60%

supporting

confidence: 61%

See 1 more Smart Citation

Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Anand,

Oinam,

Wieprecht

et al. 2024

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…Several studies have addressed the impacts of adding remotely sensed observations to streamflow calibration (Odusanya et al., 2022; Rientjes et al., 2013; Sirisena et al., 2020). Nijzink et al.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have addressed the impacts of adding remotely sensed observations to streamflow calibration (Odusanya et al, 2022;Rientjes et al, 2013;Sirisena et al, 2020). Nijzink et al (2018) presented a large modeling effort illustrating the impact of adding different remotely sensed products across five different conceptual model and 27 European catchments.…”

mentioning

confidence: 99%

Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins

Demirel,

Koch,

Rakovec

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

Optimization of spatially consistent parameter fields is believed to increase the robustness of parameter estimation and its transferability to ungauged basins. The current paper extends previous multi‐objective and transferability studies by exploring the value of both multi‐basin and spatial pattern calibration of distributed hydrologic models as compared to single‐basin and single‐objective model calibrations, with respect to tradeoffs, performance and transferability. The mesoscale Hydrological Model (mHM) is used across six large central European basins. Model simulations are evaluated against streamflow observations at the basin outlets and remotely sensed evapotranspiration patterns. Several model validation experiments are performed through combinations of single‐ (temporal evaluation through discharge) and multi‐objective (temporal and spatial evaluation through discharge and spatial evapotranspiration patterns) calibrations with holdout experiments saving alternating basins for model evaluation. The study shows that there are very minimal tradeoffs between spatial and temporal performance objectives and that a joint calibration of multiple basins using multiple objective functions provides the most robust estimations of parameter fields that perform better when transferred to ungauged basins. The study indicates that particularly the multi‐basin calibration approach is key for robust parametrizations, and that the addition of an objective function tailored for matching spatial patterns of ET fields alters the spatial parameter fields while significantly improving the spatial pattern performance without any tradeoffs with discharge performance. In light of model equifinality, the minimal tradeoff between spatial and temporal performance shows that adding spatial pattern evaluation to the traditional temporal evaluation of hydrological models can assist in identifying optimal parameter sets.

show abstract

Ecological-economic assessment of forest land degradation neutrality in the Indus River Basin of Pakistan

Arif,

Amin,

Zarif

et al. 2024

Environ Dev Sustain

View full text Add to dashboard Cite

Using a regionalisation approach to evaluate streamflow simulated by an ecohydrological model calibrated with global land surface evaporation from remote sensing

Cited by 5 publications

References 70 publications

Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins

Ecological-economic assessment of forest land degradation neutrality in the Indus River Basin of Pakistan

Contact Info

Product

Resources

About