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Two-stage Rainfall-Forecasting Diffusion Model
Feb. 21, 2024, 5:46 a.m. | XuDong Ling, ChaoRong Li, FengQing Qin, LiHong Zhu, Yuanyuan Huang
cs.CV updates on arXiv.org arxiv.org
Abstract: Deep neural networks have made great achievements in rainfall prediction.However, the current forecasting methods have certain limitations, such as with blurry generated images and incorrect spatial positions. To overcome these challenges, we propose a Two-stage Rainfall-Forecasting Diffusion Model (TRDM) aimed at improving the accuracy of long-term rainfall forecasts and addressing the imbalance in performance between temporal and spatial modeling. TRDM is a two-stage method for rainfall prediction tasks. The task of the first stage is …
arxiv cs.cv diffusion diffusion model forecasting rainfall stage type
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