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为了提高双频雷达高度计降雨情况下风速反演精度,确立合理的标准关系。采用Jason-1的7年半统计资料,通过多项式拟合的方法导出了新的标准关系。统计结果表明,该标准关系精度明显高于Quartly与Yang所建立的标准关系精度。该关系式为今后的双频雷达高度计的降雨反演提供了新的理论依据。在统计回归过程中,亦发现该标准关系可能有其他依赖项,将新的依赖项引入标准关系的构建可能会进一步提高标准关系的精度。
In order to improve the accuracy of wind speed inversion under the condition of rainfall with dual-frequency radar altimeter, a reasonable standard relation is established. Using Jason-1’s 7-year, half-year statistical data, a new standard relationship was derived using polynomial fitting. The statistical results show that the accuracy of the standard relationship is significantly higher than the standard relationship accuracy established by Quartly and Yang. The relationship provides a new theoretical basis for the future rainfall inversion of dual-frequency radar altimeter. In the process of statistical regression, we also find that there may be other dependencies in the standard relationship. Introducing new dependencies into the construction of standard relationships may further improve the accuracy of standard relationships.