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