A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa.
A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa.
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DOI：
10.1038/sdata.2017.63
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发表时间：
2017-05-23
期刊：
影响因子：
9.8
通讯作者：
Alcántara EMU
中科院分区：
文献类型：
--
作者：
Maidment RI;Grimes D;Black E;Tarnavsky E;Young M;Greatrex H;Allan RP;Stein T;Nkonde E;Senkunda S;Alcántara EMU
降雨量信息对于发展中国家的许多应用至关重要，然而，在精细的时间和空间尺度上缺乏不断更新的信息。在非洲，鉴于气候与生计之间的密切关系，降雨监测尤为重要。为了解决这一信息差距，本文介绍了两个版本（V2.0和V3.0）的TAMSAT日降雨量数据集的基础上高分辨率热红外观测，可从1983年至今。数据集的基础上分解的10天（v2.0）和5天（v3.0）总TAMSAT降雨量估计到一个每日的时间步长使用每日冷云持续时间。这种方法提供了时间上一致的历史和近实时的每日降雨量信息，为所有非洲。对这些估计值进行了评估，使用的是来自降雨气候截然不同的五个国家（莫桑比克、尼日尔、尼日利亚、乌干达和赞比亚）的地面观测数据，并与其他基于卫星的降雨量估计值进行了比较。结果表明，这两个版本的TAMSAT每日估计可靠地检测雨天，但在捕捉降雨量预测结果是可比的其他数据集的技能较低。
Rainfall information is essential for many applications in developing countries, and yet, continually updated information at fine temporal and spatial scales is lacking. In Africa, rainfall monitoring is particularly important given the close relationship between climate and livelihoods. To address this information gap, this paper describes two versions (v2.0 and v3.0) of the TAMSAT daily rainfall dataset based on high-resolution thermal-infrared observations, available from 1983 to the present. The datasets are based on the disaggregation of 10-day (v2.0) and 5-day (v3.0) total TAMSAT rainfall estimates to a daily time-step using daily cold cloud duration. This approach provides temporally consistent historic and near-real time daily rainfall information for all of Africa. The estimates have been evaluated using ground-based observations from five countries with contrasting rainfall climates (Mozambique, Niger, Nigeria, Uganda, and Zambia) and compared to other satellite-based rainfall estimates. The results indicate that both versions of the TAMSAT daily estimates reliably detects rainy days, but have less skill in capturing rainfall amount—results that are comparable to the other datasets.