When ships sail across oceans, weather and sea conditions are the key factors affecting the
safety and economy of ship navigation. Thus, obtaining accurate weather forecast data is …

Global climate change primarily affects the spatiotemporal variation in physical quantities,
such as relative humidity, atmospheric pressure, ambient temperature, and, notably …

A deep learning technology is adopted to predict seasonal rainfall efficiently. Various rainfall
data are collected from the internet. A deep feature extraction is done by autoencoder …

漂浮式海上风机是开发和利用海上风能资源的关键技术装备, 对拓展海上风电的开发空间具有
重要战略意义. 施工安装是漂浮式海上风机全生命周期的重要环节, 也是实现海上风电经济 …

Predicting rainfall accurately and on time is essential for a variety of tasks, including
electricity generation, building, flood warnings, aviation operations, and the sustainable use …

The future water resource management and reduction of effects of extreme weather events
depend on the accurate prediction of rainfall. This work presents new application of the …

深入研究短期气候预测新技术, 提高月降水的预测准确率对国民经济健康发展具有重要意义.
针对卷积神经网络(Convolutional Neural Networks, CNN) 在降水预报中难以有效提取数据 …

The amount of rain received in a particular demographic region in a given time interval is
called the rainfall. Rainfall is a natural and complex process and has significance in different …