Deep learning-based spatial downscaling and its application for tropical cyclone detection in the western North Pacific

被引:0
|
作者
Chen, Anqi [1 ]
Yuan, Chaoxia [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Minist Educ,Inst Climate & Applicat Res ICAR, Nanjing, Peoples R China
[2] Japan Agcy Marine Earth Sci & Technol, Applicat Lab, Yokohama, Japan
基金
中国国家自然科学基金;
关键词
deep learning-based downscaling method; generative adversarial networks; super-resolution; global climate model; tropical cyclone; RESOLUTION; CMIP5; MODELS;
D O I
10.3389/feart.2024.1345714
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Resolution of global climate models (GCMs) significantly influences their capacity to simulate extreme weather such as tropical cyclones (TCs). However, improving the GCM resolution is computationally expensive and time-consuming, making it challenging for many research organizations worldwide. Here, we develop a downscaling model, MSG-SE-GAN, based on the Generative Adversarial Networks (GAN) together with Multiscale Gradient (MSG) technique and a Squeeze-and-Excitation (SE) Net, to achieve 10-folded downscaling. GANs consist of a generator and a discriminator network that are trained adversarially, and are often used for generating new data that resembles a given dataset. MSG enables generation and discrimination of multi-scale images within a single model. Inclusion of an attention layer of SE captures better underlying spatial structure while preserving accuracy. The MSG-SE-GAN is stable and fast converging. It outperforms traditional bilinear interpolation and other deep-learning methods such as Super-Resolution Convolutional Neural Networks (SRCNN) and MSG-GAN in downscaling low-resolution meteorological data in assessment metrics and power spectral density. The MSG-SE-GAN has been used to downscale the TC-related variables in the western North Pacific in the low-resolution GCMs of HadGEM3-GC31 and EC-Earth3P, respectively. The downscaled data show highly similar TC activities to the direct outputs of the high-resolution HadGEM3-GC31 and EC-Earth3P, respectively. These results not only suggest the validity of the MSG-SE-GAN but also indicate its possible portability among low-resolution GCMs.
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页数:14
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