Interpretation of glacier mass change within the Upper Yukon Watershed from GRACE using Explainable Automated Machine Learning Algorithms

Keyphrases

• Machine Learning Algorithms 100%
• AutoML 100%
• Yukon 100%
• Glacier Mass Change 100%
• XML 50%
• Local Interpretable Model-agnostic Explanations 33%
• Shapley Additive Explanations 33%
• H2O AutoML 33%
• GRACE Follow-On (GRACE-FO) 33%
• XML Model 33%
• Canada 16%
• Machine Learning Models 16%
• Hydro 16%
• Prediction Accuracy 16%
• Predictive Models 16%
• Albedo 16%
• Model Validation 16%
• Agriculture 16%
• Regression Tool 16%
• Missing Data 16%
• Soil Moisture 16%
• Training Model 16%
• Air Temperature 16%
• Main Drivers 16%
• Snow Water Equivalent 16%
• Global Warming 16%
• Water Resources 16%
• Rainfall 16%
• Hydroclimatic Data 16%
• Mountainous Areas 16%
• Probabilistic Analysis 16%
• Sea Surface Temperature 16%
• High-quality Data 16%
• Environmental Variables 16%
• Explainability 16%
• Gradient Boosting Machine 16%
• Dynamic Relationship 16%
• Meteorological Characteristics 16%
• Glacier 16%
• Glacier Mass Loss 16%
• Hydrological Features 16%
• Mass Moisture 16%
• Hydroclimatic Changes 16%
• Explainable Machine Learning 16%
• Glacier Mass 16%
• Sustainable Livelihoods 16%
• Explanatory Analysis 16%
• Positive Anomaly 16%
• Explanatory Method 16%
• Soil Moisture Storage 16%
• Climatic Oscillations 16%

Earth and Planetary Sciences

• Machine Learning 100%
• Gravity Recovery and Climate Experiment (GRACE) 100%
• Soil Moisture 40%
• Canada 20%
• Data Quality 20%
• Air Temperature 20%
• Snow Water Equivalent 20%
• Global Warming 20%
• Sea Surface Temperature 20%
• Albedo 20%
• Hydrological Feature 20%
• Explainable Machine Learning 20%