Presentation Information
[190]MACHINE LEARNING-BASED POSTPROCESSING OF NWP PRECIPITABLE WATER FORECAST CONSTRAINING INPUT FEATURES TO MOISTURE SOURCES BASED ON ATMOSPHERIC MOISTURE TRANSPORT
*Muditha Madusanka DANTANARAYANA1, Shinjiro KANAE2 (1. Dept. of Civil and Environmental Eng., Institute of Science Tokyo 、2. Dept. of Civil and Environmental Eng., Institute of Science Tokyo)
Keywords:
machine learning,moisture sources,postprocessing,precipitable water
