检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]中国科学院大气物理研究所/大气科学和地球流体力学数值模拟国家重点实验室,北京100029 [2]国家气象信息中心,北京100081 [3]中国科学院大学,北京100049 [4]中国气象局,北京100081
出 处:《热带气象学报》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
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.
分 类 号:P412.27[天文地球—大气科学及气象学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.171