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- 2024
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Mark
Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin
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- Contribution to journal › Article
- 2023
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Mark
Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
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- Contribution to journal › Article
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Mark
Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning
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- Contribution to journal › Article
- 2022
-
Mark
Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin
(
- Contribution to journal › Article
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Mark
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
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- Contribution to journal › Article
- 2021
-
Mark
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction
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- Contribution to journal › Article
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Mark
Development of boosted machine learning models for estimating daily reference evapotranspiration and comparison with empirical approaches
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- Contribution to journal › Article
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Mark
Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models
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- Contribution to journal › Article
- 2020
-
Mark
Comparison of Different Methods for Spatial Downscaling of GPM IMERG V06B Satellite Precipitation Product Over a Typical Arid to Semi-Arid Area
(
- Contribution to journal › Article