A novel residual-pyramid-attention super resolution model for mesoscale meteorological forecasting spatial downscaling-Reference-Cited by-同舟云学术

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A novel residual-pyramid-attention super resolution model for mesoscale meteorological forecasting spatial downscaling

Published:2024-07-29 Issue: Volume: Page:1-12
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Zhang Liujie¹,Wang Qiang¹²,Luo Kun¹²,Ming Xuanxuan¹,Fan Jianren¹²

Affiliation:

1. Department of Energy Engineering, State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China

2. Department of Energy Engineering, Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

ational Science Fund for Distinguished Young Scholars

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2024.2381691

Reference47 articles.

1. Agustsson, E., and R. Timofte. 2017. Ntire 2017 challenge on single image super-resolution: Dataset and study. Paper presented at the Proceedings of the IEEE conference on computer vision and pattern recognition workshops, Honolulu, HI, USA.

2. Analysis of deterministic and geostatistical interpolation techniques for mapping meteorological variables at large watershed scales

3. A Deep Journey into Super-resolution

4. On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections;Baño-Medina J.;Climate Dynamics,2021

5. The quiet revolution of numerical weather prediction

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