A high-precision prediction method for coarse grids based on deep learning and the Weather Research and Forecasting model

Author:

He Junyi,Liu Xinyu,Wang Hanqing,Zhu Dongnan,Liu Zhenming

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference29 articles.

1. Baño-Medina J (2020, September) Understanding deep learning decisions in statistical downscaling models. In: Proceedings of the 10th International Conference on Climate Informatics, pp 79–85

2. Cheng J, Kuang Q, Shen C, Liu J, Tan X, Liu W (2020) ResLap: generating high-resolution climate prediction through image super-resolution. IEEE Access 8:39623–39634

3. Dong C, Loy CC, Tang X (2016) Accelerating the super-resolution convolutional neural network. In: European conference on computer vision. Springer, Cham, pp 391–407

4. Dong C, Loy CC, He K, Tang X (2014) Learning a deep convolutional network for image super-resolution. In: European conference on computer vision. Springer, Cham, pp 184–199

5. Gómez-Gonzalez, C., & Serradell Maronda, K. (2021). Super-resolution for downscaling climate data.

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