Findings from Japan Meteorological Agency Provides New Data about Meteorology (Statistical Post-processing for Gridded Temperature Prediction Using Encoder-decoder-based Deep Convolutional Neural Networks)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on Meteorology are presented in a new report. According to news reporting from Ibaraki, Japan, by NewsRx editors, the research stated, “The Japan Meteorological Agency operates gridded temperature guidance to predict two-dimensional snowfall amounts and precipitation types, e.g., rain and snow, because surface temperature is one of the key elements to predict them. Operational temperature guidance is based on the Kalman filter, which uses temperature observation and numerical weather prediction (NWP) outputs only around observation sites.”