CMORPH降水产品与地面实测降水数据的融合试验研究

Assessment of Experiment of Merging Gauge Observations with CMORPH in Sichuan Province

摘要: 选取2013~2015年的四川省814个国家级地面观测站降水资料和美国NOAA研发的CMORPH卫星反演降水产品，利用加法模型和乘法模型开展了降水资料的融合试验，并选用未参与融合试验的157个基准站降水数据对试验效果进行交叉验证。结果表明，CMORPH的加法融合结果与雨量计结果非常类似，而乘法模型则只能在四川局部地区与雨量计的降水情况相吻合，且加法模型的结果在四川省西部更多体现的是原CMORPH数据的特点，而乘法模型结果并无这一特点。交叉验证结果表明，CMORPH的加法融合结果与基准站所记录降水量的相关系数高、偏差和均方根误差都低，并且再次证明CMORPH的加法融合结果优于乘法模型结果。总的来说，加法融合模型在降水资料融合研究中具有较好的应用效果。

Abstract: The precipitation data from 814 national ground observation stations in Sichuan Province from 2013 to 2015 and the CMORPH satellites developed by NOAA in the United States were used to invert precipitation products. The fusion experiment of precipitation data was conducted using the additive model and multiplicative model method, and the unconfuted fusion test was selected. The 157 reference station precipitation data were used to cross-validate the test results. The results show that the CMORPH additive fusion results are very similar to the rain gauge results, while the multiplicative model can only coincide with the precipitation of rain gauges in some parts of Si-chuan, and the results of the additive model reflect more of the original CMORPH in the western part of Sichuan Province. The characteristics of the data and the multiplication model results do not have this feature. The results of cross-validation show that the correlation coefficient of CMORPH’s additive fusion results with the reference precipitation recorded at the reference station is high, the deviation and root mean square error are both low, and it is proved once again that the CMORPH addition fusion result is better than the multiplication model results. In general, the additive fusion model has a good application effect in the study of precipitation data fusion.