Grid resolution and assimilation window size play significant roles in storm surge models. In the Bohai Sea, Yellow Sea, and East China Sea, the influence of grid resolution and …
Fog has recently become a frequent high-impact weather phenomenon along the coastal regions of North China. Accurate fog forecasting remains challenging due to limited …
采用广义回归神经网络(generalized regression neural network,GRNN)模型对山东烟台市福山气象站2000～2003年日总辐射曝辐量进行预估。模型通过交叉验证方法确定其关键参数(光滑因子),以日照时数、平均气压、平均气温、日最高气温、相对湿度、气溶胶光学厚度6个变量作为输入量。结果显示:GRNN15.9%,均方根误差为 …
With the rapid growth of oceanographic data and computing power, high-resolution ocean numerical modeling has entered a new era. This paper reviews the current status and future …
The seasonal prediction skill of the First Institute of Oceanography-Earth System Model (FIO-ESM) is evaluated for the North Pacific. The model shows high skill in predicting SST …
The First Institute of Oceanography-Earth System Model version 2.0 (FIO-ESM v2.0) is a fully coupled climate model participating in the Coupled Model Intercomparison Project Phase …
In this paper, the form of a right linear map preserving the left spectrum of quaternion matrices of order 2 is characterized. The obtained conclusion is different from the …
为了更好地保护图像版权信息,本工作结合超混沌系统和RBF神经网络,提出一种基于超混沌的RBF神经网络模型加密算法,根据JND(最小可视觉误差)模型实现水印的自适应嵌入,并应用RBF神经网络进行水印信息盲检测。实验研究表明:该算法复杂度较低、容易实现,并且具有良好的安全性、不可感知性和鲁棒性。
