Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-2801-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-2801-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
SWAT use of gridded observations for simulating runoff – a Vietnam river basin study
M. T. Vu
Tropical Marine Science Institute (TMSI), National University of Singapore, 18 Kent Ridge Road, Singapore 119227, Singapore
S. V. Raghavan
Tropical Marine Science Institute (TMSI), National University of Singapore, 18 Kent Ridge Road, Singapore 119227, Singapore
S. Y. Liong
Tropical Marine Science Institute (TMSI), National University of Singapore, 18 Kent Ridge Road, Singapore 119227, Singapore
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73 citations as recorded by crossref.
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- Evaluation of daily gridded meteorological datasets for hydrological modeling in data-sparse basins of the largest lake in Southeast Asia R. Ang et al. 10.1016/j.ejrh.2022.101135
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- Can model-based data products replace gauge data as input to the hydrological model? K. Sivasubramaniam et al. 10.2166/nh.2020.076
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- Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy) Y. Tuo et al. 10.1016/j.scitotenv.2016.08.034
- Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir Y. Yang et al. 10.1371/journal.pone.0112725
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- Hydrological application and accuracy evaluation of PERSIANN satellite-based precipitation estimates over a humid continental climate catchment M. Eini et al. 10.1016/j.ejrh.2022.101109
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- Multimodel Approach Using Neural Networks and Symbolic Regression to Combine the Estimated Discharges of Rainfall-Runoff Models P. Phukoetphim et al. 10.1061/(ASCE)HE.1943-5584.0001332
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- TopoSCALE v.1.0: downscaling gridded climate data in complex terrain J. Fiddes & S. Gruber 10.5194/gmd-7-387-2014
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- Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks X. Le et al. 10.1016/j.jhydrol.2024.130762
- Hydrological modelling using proxies for gauged precipitation and temperature J. Chen & F. Brissette 10.1002/hyp.11304
- Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S. V. Sehgal et al. 10.3390/su10093079
- Notable shifting in the responses of vegetation activity to climate change in China A. Chen et al. 10.1016/j.pce.2015.08.008
- Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling S. Setti et al. 10.3390/atmos11111252
- Impacts of precipitation uncertainty on hydrological ensemble simulations over the Ganjiang River basin X. Han & H. Yuan 10.1016/j.ejrh.2023.101617
- Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins M. Le et al. 10.1016/j.jhydrol.2020.124820
- Google Earth's derived digital elevation model: A comparative assessment with Aster and SRTM data N. Rusli et al. 10.1088/1755-1315/18/1/012065
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