Wavelets and Field Forecast Verification
Wavelets and Field Forecast Verification
复制标题
DOI：
10.1175/1520-0493(1997)125
复制
发表时间：
1997-06
影响因子：
3.2
通讯作者：
W. Briggs;R. Levine
中科院分区：
文献类型：
--
作者：
W. Briggs;R. Levine
目前的实地预报验证措施是不够的，主要是因为它们将两个复杂的空间场过程之间的比较压缩到一个数字中。离散小波变换（DWT）应用于分析和同期预测领域被证明是一个有见地的方法来验证问题。DWT允许过滤和紧凑的物理可解释的字段分区。这些技术用于减少或消除验证过程中的噪声，并开发现场预测性能的多变量测量，以改善现有的验证程序。
Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting performance that are shown to improve upon existing verification procedures.