A Deep Spatio-Temporal Forecasting Model for Multi-Site Weather Prediction Post-Processing

DOI10.4208/CICP.OA-2020-0158zbMath1482.86030OpenAlexW4200479603MaRDI QIDQ5065168

Pingwen Zhang, Jiangjiang Xia, Chen Yu, Yanyan Kang, Wenjia Kong, Hao-chen Li

Publication date: 18 March 2022

Published in: Communications in Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4208/cicp.oa-2020-0158

zbMATH Keywords

post-processingweather forecastingdeep learningspatio-temporal modeling

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Geostatistics (86A32) Meteorology and atmospheric physics (86A10)

Related Items (1)

Learning Invariant Representation of Multiscale Hyperelastic Constitutive Law from Sparse Experimental Data

Uses Software

• XGBoost

Cites Work

• A Data-Driven Random Subfeature Ensemble Learning Algorithm for Weather Forecasting
• Weather Prediction by Numerical Process

This page was built for publication: A Deep Spatio-Temporal Forecasting Model for Multi-Site Weather Prediction Post-Processing