Litcius/Paper detail

Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA

Jin Liu, Kun Ren, Tingzhen Ming, Jihong Qu, Wenxian Guo, Haohao Li

2022Acta Geophysica38 citationsDOI

Topics & Concepts

StreamflowInterpretabilityEnvironmental scienceVariable (mathematics)RegressionClimatologyMean squared errorLinear regressionMathematicsMeteorologyStatisticsComputer scienceGeographyDrainage basinGeologyCartographyMathematical analysisMachine learningHydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and Management
Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA | Litcius