摘要
在基于信息图谱特征的风场反演新算法的基础上,对风速、风向二维解空间中的图谱特征和反演风向偏差之间的关系作进一步研究,发现解空间中真解所对应的密集区域的散点标准差与风向偏差之间存在线性关系,并根据这一线性关系对风矢量反演结果作了改进试验。结果表明,风向反演精度在调整以后得到提高(3.7°),并且对于误差大的象元(6°左右)其改进效果更好。
Different from the conventional wind retrieval algorithms, a new method based on the atlas properties of SeaWinds scatterometer data is derived, which is independent of the object function and system variances. With the new method, the relation between atlas properties of the wind vector solution space and retrieval error is studied. It is found that there is a stable and universal linear relation between the wind direction deviation and the standard deviation of the polymerizing node corresponding to the final wind vector solution. The experiment of using the linear relation shows that the accuracy of retrieved wind direction is improved by 3.7 degrees after adjusted, and the adjusting effect is even better for the cells with larger bias, where the accuracy can be increased by about 6 degrees.
出处
《热带地理》
北大核心
2011年第4期393-396,共4页
Tropical Geography
基金
广东省联合基金"南海北部及珠江口湿地水鸟对气候变化的响应方式"(U0833005)
关键词
SEAWINDS散射计
信息图谱
微粒群算法
线性关系
SeaWinds scatterometer
information atlas
Particle Swarm Optimization
linear relationship
