Climate modeling with neural advection–diffusion equation

Author:

Choi HwangyongORCID,Choi Jeongwhan,Hwang Jeehyun,Lee Kookjin,Lee Dongeun,Park Noseong

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference72 articles.

1. Zaytar MA, El Amrani C (2016) Sequence to sequence weather forecasting with long short-term memory recurrent neural networks. Int J Comput Appl 143:7–11

2. Shi X, Chen Z, Wang H, Yeung D-Y, Wong W-K, Woo W-C (2015) Convolutional lstm network: a machine learning approach for precipitation nowcasting. NeurIPS 28

3. Shi X, Gao Z, Lausen L, Wang H, Yeung D-Y, Wong W-K, Woo W-C (2017) Deep learning for precipitation nowcasting: a benchmark and a new model. Adv Neural Inf Process Syst 30

4. Liu Y, Racah E, Correa J, Khosrowshahi A, Lavers D, Kunkel K, Wehner M, Collins W et al (2016) Application of deep convolutional neural networks for detecting extreme weather in climate datasets. arXiv preprint arXiv:1605.01156

5. Racah E, Beckham C, Maharaj T, Ebrahimi Kahou S, Prabhat M, Pal C (2017)Extremeweather: a large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. Adv Neural Inf Process Syst 30

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