Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. The Mesoscale Hydrologic Model (mHM)
2.3. Input Data
2.3.1. Morphological Inputs
2.3.2. Soil Inputs
2.3.3. Land Use Inputs
2.3.4. Meteorological Inputs
2.3.5. Discharge Inputs
2.3.6. Validation Data
2.4 Framework of the Modeling Experiment
3. Results
3.1. Initial Model Setup Results
3.2. Calibration and Discharge Validation Results
3.3. Multivariate Validation Results
3.4. Evaluation of mHM-MPR for Transferability across Scales
4. Discussion
4.1. Initial Model Runs and Discharge Calibration and Validation
4.2. Multivariate Validation and Scale Transferability of the mHM-MPR Scheme
5. Conclusion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A. mHM Parameters
Parameter | Lower Threshold | Upper Threshold |
---|---|---|
Interception | ||
canopyInterceptionFactor | 0.15 | 0.4 |
Soil Moisture | ||
orgMatterContent_forest | 0 | 20 |
orgMatterContent_impervious | 0 | 1 |
orgMatterContent_pervious | 0 | 4 |
PTF_lower66_5_constant | 0.6462 | 0.9506 |
PTF_lower66_5_clay | 0.0001 | 0.0029 |
PTF_lower66_5_Db | −0.3727 | −0.1871 |
PTF_higher66_5_constant | 0.5358 | 1.1232 |
PTF_higher66_5_clay | −0.0055 | 0.0049 |
PTF_higher66_5_Db | −0.5513 | −0.0913 |
PTF_Ks_constant | −1.2 | −0.285 |
PTF_Ks_sand | 0.006 | 0.026 |
PTF_Ks_clay | 0.003 | 0.013 |
rootFractionCoefficient_forest | 0.9 | 0.999 |
rootFractionCoefficient_impervious | 0.9 | 0.95 |
rootFractionCoefficient_pervious | 0.001 | 0.09 |
infiltrationShapeFactor | 1 | 4 |
Direct Sealed Area Runoff | ||
imperviousStorageCapacity | 0 | 5 |
Potential Evapotranspiration | ||
minCorrectionFactorPET | 0.7 (0.9) | 1.3 (0.96) |
maxCorrectionFactorPET | 0 (0.17) | 0.2 |
aspectTresholdPET | 160 | 200 |
HargreavesSamaniCoeff | 0.0016 (0.0021) | 0.003 (0.0027) |
Interflow | ||
interflowStorageCapacityFactor | 75 | 200 |
interflowRecession_slope | 0 | 10 |
fastInterflowRecession_forest | 1 | 3 |
slowInterflowRecession_Ks | 1 | 30 |
exponentSlowInterflow | 0.05 | 0.3 |
Percolation | ||
rechargeCoefficient | 0 | 50 (200) |
Geological Parameter | ||
GeoParam(1) | 1 | 1000 (1500) |
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Objective Function | Discharge Stations | ||||||
---|---|---|---|---|---|---|---|
R2 | sig. | PBIAS | KGE | R2 ≥ 0.5 | KGE ≥ 0.5 | KGE ≥ 0.7 | |
Q Calibration | |||||||
Calibration | 0.61 | <0.001 | −8.8 | 0.53 | 83% | 75% | 39% |
Validation | 0.65 | <0.001 | 12.9 | 0.23 | 75% | 53% | 39% |
Average | 0.63 | 2.0 | 0.38 | 79% | 64% | 39% | |
Q/ET Calibration | |||||||
Calibration | 0.56 | <0.001 | −8.1 | 0.49 | 72% | 69% | 33% |
Validation | 0.62 | <0.001 | 25.2 | 0.13 | 75% | 47% | 28% |
Average | 0.59 | 8.5 | 0.31 | 74% | 58% | 31% |
Dataset | Objective Function | ||||
---|---|---|---|---|---|
R2 | sig. | PBIAS | KGE | RMSE | |
Q Calibration | |||||
MOD 16A2 | 0.93 | <0.001 | 11.3 | 0.44 | 17.9 |
GLEAM 3.2a | 0.93 | <0.001 | 8.1 | 0.64 | 14.8 |
GLEAM 3.2b | 0.93 | <0.001 | 6.6 | 0.73 | 13.1 |
Average | 0.93 | 8.7 | 0.60 | 15.3 | |
Q/ET Calibration | |||||
MOD 16A2 | 0.92 | <0.001 | 10.7 | 0.72 | 12.3 |
GLEAM 3.2a | 0.97 | <0.001 | 7.4 | 0.88 | 7.9 |
GLEAM 3.2b | 0.97 | <0.001 | 5.9 | 0.93 | 6.9 |
Average | 0.95 | 8.0 | 0.84 | 9.0 |
Spatial Resolution | |||
---|---|---|---|
26 km | 13 km | 6.5 km | |
Ø KGE Discharge | |||
Calibration − Q | 0.53 | 0.53 | 0.53 |
Calibration − Q/ET | 0.49 | 0.49 | 0.49 |
Validation − Q | 0.23 | 0.26 | 0.28 |
Validation Q/ET | 0.13 | 0.15 | 0.17 |
Model Domain | |||
Pixel Count | 830 | 3320 | 13,280 |
Pixel Area | 676 km2 | 169 km2 | 42.3 km2 |
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Share and Cite
Poméon, T.; Diekkrüger, B.; Kumar, R. Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins. Water 2018, 10, 1418. https://doi.org/10.3390/w10101418
Poméon T, Diekkrüger B, Kumar R. Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins. Water. 2018; 10(10):1418. https://doi.org/10.3390/w10101418
Chicago/Turabian StylePoméon, Thomas, Bernd Diekkrüger, and Rohini Kumar. 2018. "Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins" Water 10, no. 10: 1418. https://doi.org/10.3390/w10101418