4.Generative network:NowcastNet的两部分之二,深入技术细节。 5.如何训练:从损失函数入手,深入NowcastNet的训练过程。 6.结语:保留曲目,一点愚见。 短临降水预报一直是大气科学领域内深度学习方法发挥的首选舞台。继DeepMind DGMR后,清华龙明盛老师团队联合中央气象台,在Nature正刊发表了短临降水预报模型的重磅论文“N...
对比起常用的端到端的GAN网络(比如Cycle-GAN)来说,Nowcastnet的主体结构多出来一个Evolution network模块。 该模块本质上仍然是一个生成网络,图片Evolution Encoder后经过Motion decoder和Intensity decoder可以捕捉输入数据中的额外物理信息,经过进化算子后生成x''_{1:T}返回给原始的生成网络。 本质上讲,可以理解为Now...
针对一些突发性的极端降水事件,NowcastNet对于极端天气风险管理有很重要的意义。 NowcastNet能够在2048 km × 2048 km范围内提前3小时进行高分辨率的降水预测。62位气象学家曾对不同模型在极端降水方面进行评估,结果70%的专家认为,NowcastNet可排名第一。 NowcastNet在预测降水强度方面有着很大的优势,特别是极端降水...
分别为:NowcastNet,Evolution network,Evolution operator。 (1)NowcastNet NowcastNet的输入为原始的雷达数据,通过Evolution network得到经过物理规律计算之后的预测雷达数据。将原始的雷达数据和预测之后得到的雷达数据结合输入NowcastNet encoder得到3小时的预测结果。 (2)Evolution network 该部分就是论文中介绍的引入物...
Fig. 1: NowcastNet for extreme-precipitation nowcasting. a, Architecture of NowcastNet, a physics-conditional deep generative model. The nowcast encoder learns contextual representations. The nowcast decoder conditions on the physics-informed evolutions\({{\bf{x}}}_{1:T}^{{\prime\prime} }\...
We present NowcastNet, a nonlinear nowcasting model for extreme precipitation that unifies physical-evolution schemes and conditional-learning methods into a neural-network framework with end-to-end forecast error optimization. On the basis of radar observations from the USA and China, our model ...
This repository is the source code for the NowcastNet model proposed in paper 'Skillful nowcasting of extreme precipitation with NowcastNet'.EnvironmentRun the code directly on Code Ocean, or install the environment following these steps:Find a device with GPU support. Our experiment is conducted ...