遇见数据集

Peak precipitation month and preferred sources for extreme precipitation.

收藏
Mendeley Data2026-04-18 收录
官方服务:

资源简介:

The dataset consist of 4 different files. File PPM.nc represents the global Peak Precipitation Month (PPM) computed using daily precipitation data from the CPC Global Unified Gauge-Based Analysis of Daily Precipitation (Chen et al., 2008). The PPM is defined individually for each grid point over all the continental areas, with a 0.5x0.5 horizontal resolution. The months from January to December are represented by numbers from 1 to 12. For the PPM the Preferred Sources (PS), Secondary Sources (SS), and Tertiary Sources (TS) (associated with extreme precipitation) were computed and here presented in three different files (PS.nc, SS.nc, and TS.NC). PS, SS, and TS represent those source (from the 14 main global moisture sources defined by Nieto et al., (2019)) which shows the higher contribution to precipitation in extreme precipitation days (those days with precipitation above 95th percentile). From the list of 14 sources, the moisture contribution is computed using the Lagrangian model FLEXPART. The PS is defined, at each grid area, as the source with contributes the most to precipitation in extreme precipitation days. SS is the second source in importance and TS the third. The sources are defined in the PS.nc, SS.nc, and TS.nc files according to a numerical code as follows: Agulhas Current (AGU) 1 Coral Sea (CORALS) 2 Indian Ocean (IND) 3 Mediterranean Sea (MED) 4 Gulf of Mexico and Caribbean Sea (MEXCAR) 5 North Atlantic Ocean (NATL) 6 Red Sea (REDS) 7 Southern Africa (SAFR) 8 Sahel region (SAHEL) 9 South America (SAM) 10 South Atlantic Ocean (SATL) 11 South Pacific Ocean (SPAC) 12 Zanzibar Current and Arabian Sea (ZANAR) 13 North Pacific Ocean (NPAC) 14 A detailed description of the procedure used to obtain the files can be revised in Vázquez et al. (2020).

本数据集包含4个不同的文件。文件PPM.nc代表全球降水峰值月(Peak Precipitation Month, PPM),其数据基于CPC全球统一雨量站逐日降水分析产品(Chen等,2008)的逐日降水资料计算得到。该降水峰值月针对所有陆地区域的每个网格点单独定义,水平分辨率为0.5°×0.5°,1至12的数字分别代表1月至12月。 针对该降水峰值月,本研究计算了与极端降水相关的优先水汽源区(Preferred Sources, PS)、次要水汽源区(Secondary Sources, SS)及三级水汽源区(Tertiary Sources, TS),并将结果存储于PS.nc、SS.nc与TS.nc三个文件中。PS、SS及TS均取自Nieto等(2019)定义的14个全球主要水汽源区,代表在极端降水日(日降水量超过95%分位数的日期)对降水贡献度排名靠前的源区。上述14个源区的水汽贡献度通过拉格朗日模型FLEXPART计算得到。在每个网格区域内,PS被定义为极端降水日对降水贡献度最高的水汽源区;SS为贡献度第二高的源区,TS则为第三高的源区。PS.nc、SS.nc及TS.nc文件中通过以下数字编码对各水汽源区进行定义: 阿古拉斯海流(Agulhas Current, AGU):1 珊瑚海(Coral Sea, CORALS):2 印度洋(Indian Ocean, IND):3 地中海(Mediterranean Sea, MED):4 墨西哥湾与加勒比海(Gulf of Mexico and Caribbean Sea, MEXCAR):5 北大西洋(North Atlantic Ocean, NATL):6 红海(Red Sea, REDS):7 非洲南部(Southern Africa, SAFR):8 萨赫勒地区(Sahel region, SAHEL):9 南美洲(South America, SAM):10 南大西洋(South Atlantic Ocean, SATL):11 南太平洋(South Pacific Ocean, SPAC):12 桑给巴尔海流与阿拉伯海(Zanzibar Current and Arabian Sea, ZANAR):13 北太平洋(North Pacific Ocean, NPAC):14 关于生成这些文件的详细流程,可参考Vázquez等(2020)的研究。

创建时间:
2021-01-26
二维码
社区交流群
二维码
科研交流群
商业服务