typhoon intensity prediction 台风强度预测
variation of typhoon intensity 台风强度变化
typhoon surge intensity 台风暴潮强度
typhoon s track and intensity 台风路径和强度
intensity change in typhoon 台风强度变化
Track and Intensity of Typhoon 台风路径和强度
intensity of landing typhoon 登陆台风强度
Vertical convection is closely related to the typhoon intensity. Before 42 h,the ascending convection is the reason of typhoon intensification.
垂直上升对流的加强、减弱与台风强度息息相关,42小时之前不断加强的上升对流运动是台风达到最强的原因,此后下沉运动不断加强,导致台风强度减弱。
参考来源 - 海气相互作用对“格美”台风发展的影响研究To construct a new neural network ensemble prediction model for typhoon intensity, a back-propagation (BP) network is used as the basic model. The BP network has advantages ofadaptive learning, nonlinear mapping and so forth.
论文在建立这种新的神经网络台风强度集合预报模型时，采用的神经网络基本模型是前馈网络模型，该模型具有自适应学习、非线性映射等多种优良性能。
参考来源 - 非线性核主成分的神经网络台风强度集合预报建模研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Finally we discuss the possible application of these results to typhoon intensity prediction.
最后讨论了这些结果在台风强度预测方面的可能应用。
Typhoon intensity is an exponent distribution in given restrained conditions when typhoon entropy has gotten maximum.
在给定的约束条件下，当台风熵取极大值时，台风强度是一种指数分布。
The results show that typhoon intensity can have influence on the water vapor transport to mid-latitude area by the southeasterly jet on the east of the typhoon.
低层水汽输送，造成中纬度暴雨区强水汽辐合和不稳定能量积聚，故槽前降雨的强度与其南方台风东侧的水汽输送有着相当密切的关系。
应用推荐