摘要
选取2008年9月—2010年2月的中国2 400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,利用最优插值方法开展了两类降水资料的融合试验,并对试验效果进行评估。结果表明,利用OI方法形成的融合降水产品和地面观测降水分布特征基本一致,能反映西部台站稀疏地区的降水特征以及陆地与海洋之间降水系统的空间连续性。此外,该融合产品保留了高分辨率的卫星观测信息,在台站稀疏地区,一些通过地面观测无法反映出来的中尺度对流系统在融合产品中得到体现。交叉检验结果显示,融合结果和地面观测降水量、台站密度高度相关。样本网格分析结果显示,融合结果和地面降水的逐日时间序列具有较强的一致性。总的来说,OI方法在降水资料融合研究中具有较好的应用效果。
A merging experiment is described for producing Chinese daily estimates of precipitation on a 0.25°×0.25° lat/long grid from gauge observations over 2 400 stations and CMORPH.The Optimum Interpolation （OI） method is used in this experiment.Merging analysis results have been produced from September 2008 to February 2010.Their distribution presents similar patterns but with more detailed structures compared to other published daily grid gauge analyses in the region.With the use of high-resolution satellite data,the results reveal spatial continuity of precipitation systems between land and sea and the distribution of precipitation over western China where there are few gauge stations.Moreover,some mesoscale convective systems,which cannot be revealed by gauge observations,are revealed in the merging analysis.Cross-validation tests indicated that this merging analysis has high quantitative quality with a negligible bias and a correlation coefficient of 0.8 between COMP data and the analysis.The quality of the analysis increases with the gauge network density and precipitation intensity.The time series of the daily merging analysis shows good continuity in time and across the data boundaries.In general,the OI method applies well in merging research on precipitation data.Further improvements of the merging analysis are underway to increase the analysis network density and to refine the algorithm to better deal with the gauge network density and orographic effects,especially over the western region of China.
出处
《热带气象学报》
CSCD
北大核心
2013年第5期865-873,共9页
Journal of Tropical Meteorology
基金
国家科技支撑计划课题(2012BAC22B05)
国际科技合作与交流专项(2011DFG23150)共同资助
关键词
卫星
降水
融合
satellite
precipitation
merge
