The 30 year TAMSAT African Rainfall Climatology And Time series (TARCAT) data set

The 30 year TAMSAT African Rainfall Climatology And Time series (TARCAT) data set
复制标题

DOI:
10.1002/2014jd021927
复制
发表时间:
2014-09-27
影响因子:
4.4
通讯作者:
Black, Emily
Black, Emily
中科院分区:
地球科学2区
文献类型:
--
作者:
Maidment, Ross I.;Grimes, David;Black, Emily

文献摘要

被引文献

相似文献

非洲社会的农业活动和其他依赖水的活动依赖降雨,但降雨量在空间和时间上变化极大,反复发生的水冲击,如干旱,可产生相当大的社会和经济影响。为了帮助提高我们对降雨气候的认识,我们使用存档的气象卫星热红外图像,根据从许多非洲机构整理的雨量计记录进行校准,为非洲构建了一个30年(1983-2012年)时间一致的降雨数据集,称为TARCAT(使用卫星和地面观测的热带气象学应用(TAMSAT)非洲降雨气候学和时间序列)。TARCAT已在10天(十卡德)规模,空间分辨率为0.0375度。将1983 - 2010年的TARCAT与6个长期降水数据集进行比较表明,TARCAT很好地复制了空间和季节降雨模式以及年际变率,与气候研究股和全球降水气候学中心网格测量分析的相关系数分别为0.85和0.70。干旱监测算法的设计导致TARCAT与其他数据集相比低估了非洲范围内的平均年降雨量,平均为-0.37 mm d(-1)(21%)。由于TARCAT降雨量估计在历史上是在大的气候均匀的地区校准的,数据可以为用户提供可靠的气候相关风险估计,即使是在测量记录时间不一致的地区。
African societies are dependent on rainfall for agricultural and other water-dependent activities, yet rainfall is extremely variable in both space and time and reoccurring water shocks, such as drought, can have considerable social and economic impacts. To help improve our knowledge of the rainfall climate, we have constructed a 30 year (1983-2012), temporally consistent rainfall data set for Africa known as TARCAT (Tropical Applications of Meteorology using SATellite and ground-based observations (TAMSAT) African Rainfall Climatology And Time series) using archived Meteosat thermal infrared imagery, calibrated against rain gauge records collated from numerous African agencies. TARCAT has been produced at 10 day (dekad) scale at a spatial resolution of 0.0375 degrees. An intercomparison of TARCAT from 1983 to 2010 with six long-term precipitation data sets indicates that TARCAT replicates the spatial and seasonal rainfall patterns and interannual variability well, with correlation coefficients of 0.85 and 0.70 with the Climate Research Unit and Global Precipitation Climatology Centre gridded-gauge analyses respectively in the interannual variability of the Africa-wide mean monthly rainfall. The design of the algorithm for drought monitoring leads to TARCAT underestimating the Africa-wide mean annual rainfall on average by -0.37 mm d(-1) (21%) compared to other data sets. As the TARCAT rainfall estimates are historically calibrated across large climatically homogeneous regions, the data can provide users with robust estimates of climate related risk, even in regions where gauge records are inconsistent in time.