講演情報
[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)
キーワード：
machine learning、moisture sources、postprocessing、precipitable water