Statistical Post-Processing for Gridded Temperature Prediction Using Encoder–Decoder-Based Deep Convolutional Neural Networks
نویسندگان
چکیده
The Japan Meteorological Agency operates gridded temperature guidance to predict two-dimensional snowfall amounts and precipitation types, e.g., rain snow, because surface is one of the key elements them. Operational based on Kalman filter, which uses observation numerical weather prediction (NWP) outputs only around sites. Correcting a field when NWP models incorrectly front's location or observed temperatures are extremely cold hot has been challenging.
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ژورنال
عنوان ژورنال: Journal of the Meteorological Society of Japan
سال: 2022
ISSN: ['0026-1165', '2186-9049', '2186-9057']
DOI: https://doi.org/10.2151/jmsj.2022-011