A probabilistic gridded product for daily precipitation extremes over the United States
收藏DataONE2019-01-30 更新2024-06-08 收录
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资源简介:
The data are packaged together into network common data form (netCDF) files. Three separate files are available, with data provided separately for each season: (1) best estimates of the generalized extreme value (GEV) distribution coefficients as well as bootstrap standard errors, (2) 10-, 20-, 50-, and 100-year return values (with bootstrap standard errors) for 1955, 1965, 1975, 1985, 1995, 2005, and 2015, and (3) smoothed bootstrap estimates (250 total) for each GEV coefficient (these are used to calculate the bootstrap standard errors in the first two files). We also provide code that can be used to calculate return values, return periods, or any function thereof for any year in 1950-2017, as well as the corresponding bootstrap sampling distribution (which can be used to quantify uncertainty via standard errors or confidence intervals).
本数据集以网络公共数据格式(netCDF)打包存储。共包含三份独立文件,按季节分别提供对应数据:(1) 广义极值分布(GEV)系数的最优估计值及配套自助法标准误;(2) 1955、1965、1975、1985、1995、2005与2015年的10年、20年、50年、100年重现值(均附带自助法标准误);(3) 各GEV系数的平滑自助法估计值(总计250组),该数据可用于计算前两份文件中的自助法标准误。此外,本数据集还附带可用于计算1950-2017年间任意年份的重现值、重现期或其任意函数的代码,以及对应的自助法抽样分布,可通过标准误或置信区间量化不确定性。
创建时间:
2023-11-22



