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Observed and simulated hydro-climatic data for the lake Chad basin Africa

机译:非洲乍得湖流域的观测和模拟水文气候数据

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摘要

Lake Chad is one of the largest lakes in the world, but extremely vulnerable to the changing climate and human activities in the basin. The Lake Chad basin is one of the largest endorheic basins in the world and straddles the borders of Central African Republic, Chad, Libya, Niger, Nigeria, Algeria, Cameroon, and Sudan. In the last 40–50 years, the lake has shrunk from a surface area of 25,000 km2 to 2000 km2. However, the availability and quality of hydro-climatic data for researchers are major barriers to research. Since observed station data is highly sparse in the basin and difficult to collect, monthly climatic data was extracted from the gridded Climate Research Unit (CRU) dataset. The gridded CRU temperature and rainfall data was extracted at 81 points, and monthly temperature and rainfall data was converted into daily data for hydrologic modelling in Mahmood and Jia [1]. This data article also includes observed streamflow data of 3 hydrometric stations and rainfall data of 11 stations, which was obtained from the Lake Chad Basin Commission. Natural streamflow data simulated with hydrologic model at N'Djamena station on the Chari-Logone River is also included in this data article.
机译:乍得湖是世界上最大的湖泊之一,但极易受到该盆地气候变化和人类活动的影响。乍得湖盆地是世界上最大的背胶盆地之一,横跨中非共和国,乍得,利比亚,尼日尔,尼日利亚,阿尔及利亚,喀麦隆和苏丹的边界。在过去的40至50年中,该湖的面积从25,000 km 2 缩小到2000 km 2 。但是,研究人员获取水文气候数据的质量和数据是研究的主要障碍。由于在盆地中观测到的台站数据稀疏且难以收集,因此从网格化气候研究单位(CRU)数据集中提取每月气候数据。在Mahmood和Jia [1]中,在81个点提取了网格化的CRU温度和降雨量数据,并将月温度和降雨量数据转换为每日数据,以进行水文建模。该数据文章还包括从乍得湖流域委员会获得的3个水文站的观测流量数据和11个站的降雨数据。此数据文章还包括使用Chari-Logone河上N'Djamena站的水文模型模拟的自然流量数据。

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