Transferring Hydrologic Data Across Continents – Leveraging Data-Rich Regions to Improve Hydrologic Prediction in Data-Sparse Regions

Keyphrases

• Streamflow 100%
• Hydrological Forecasting 100%
• Hydrologic Data 100%
• Transfer Learning 100%
• Data-scarce Regions 100%
• China 66%
• Source Data 66%
• Long Short-term Memory 66%
• Big Data 33%
• Chile 33%
• Central Chile 33%
• Hydrologic Modeling 33%
• Data Characteristics 33%
• Great Britain 33%
• Property Data 33%
• Simple Modification 33%
• Uncalibrated 33%
• Training Model 33%
• Weight Sensing 33%
• Transfer Learning Model 33%
• Local Data 33%
• Machine Learning Models 33%
• Conterminous United States 33%
• Non-transferability 33%
• Deep Learning 33%
• Catchment Characteristics 33%

Earth and Planetary Sciences

• Streamflow 100%
• Continent 100%
• China 66%
• Chile 66%
• Big Data 33%
• United States 33%
• United Kingdom 33%
• Machine Learning 33%