长时间序列多源土壤湿度产品在中国地区的比较分析

Inter-comparison of Various Long-Time Soil Moisture Datasets in China

研究利用实测数据对遥感产品(ECV CCI)、全球陆面同化系统产品(GLDAS/CLM、NOAH2.7、NOAH3.3、VIC、MOSAIC)、再分析资料(ERA-Interim、NCEP/DOE)等不同来源的8套长时间序列土壤湿度产品进行时空比较。结果表明:上述产品均可以模拟出中国不同区域土壤湿度的空间分布;从各产品平均态与实测数据的偏差、均方根误差、相关系数统计结果来看,NOAH模式和ERA-Interim表现最好,MOSAIC和NCEP/DOE与实测相差较大;从区域尺度上来看,所有产品在东北区域表现最好,在华南、西南南区和西北西区较差;ERA-Interim有效的模拟了土壤湿度的年际变化。

To evaluate the consistency between different products,8datasets of soil moisture products from the multi-satellite estimation data of the European Space Agency Climate Change Initiative（ECV CCI）,different versions of the Global Land Data Assimilation System（GLDAS/CLM,NOAH2.7,NOAH3.3,VIC,MOSAIC）and reanalysis datasets（ERA-Interim,NCEP/DOE）are compared with the observed data in China's Mainland in the temporal and spatial distribution during the period of 1995 to 2010.Results show that all datasets can simulate the spatial distribution of soil moisture in different regions of China.GLDASNOAH and European Centre for Medium-Range Weather Forecasts（ECMWF）reanalysis data（ERAInterim）have a bias of less-than 0.05,the root-mean-square deviation（RMSE）less than 0.1,and the correlation coefficient more-than 0.4.All datasets perform well in the north eastern region,but they have relatively poor representation in the south,southwest and northwestern parts of China.The ERA-Interim successfully captured the interannual variability of soil moisture.