Comparison of Rainy Season Onset, Cessation and Duration for Ghana from RegCM4 and GMet Datasets

Comparison of Rainy Season Onset, Cessation and Duration for Ghana from RegCM4 and GMet Datasets
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RegCM4 和 GMet 数据集比较加纳雨季的开始、结束和持续时间

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发表时间:
2016
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影响因子:
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通讯作者:
K. Asare
K. Asare
中科院分区:
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文献类型:
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作者:
C. Mensah;L. Amekudzi;N. Klutse;J. N. Aryee;K. Asare

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的 西非国家的社会经济部门是由雨养农业驱动的。 有关雨季开始、结束和持续时间的信息是 因此,非常必要。本文比较了发作、停止和 雨季的持续时间是使用模拟降雨数据得出的 来自第四代区域气候模型(RegCM4)和雨量计 加纳气象局 (GMet) 的测量数据,涵盖 1998 年 到 2012 年。在模拟和 对各个农业生态区进行降雨量测量,从而得出 雨季持续时间相似。雨季平均持续时间 萨凡纳和沿海地区的持续时间不到 200 天,而持续时间 森林和过渡区的雨季超过 200 天。 这些比较的偏差小于 30 天,且均方根 除 Saltpond 之外,所有站点的误差 (RMSE) 值均小于 15 天。 Pearson 相关性 (r) 通常在 0.4 到 0.8 之间。然而, 在萨凡纳地区观察到玉米粉蒸肉的负相关性,并且 整个沿海地区。这些发现表明 RegCM4 具有 有可能清晰地模拟雨带的运动,因此,可以 公平确定雨季的开始、结束和持续时间。的 研究结果对有效的水资源管理有重大贡献 加纳的粮食安全,因为这些部门的繁荣取决于 降雨季节的动态。
The socio-economic sector of West African countries is rain-fed agriculture driven. Information regarding the onset, cessation and duration of the rainy season is thus, very essential. In this paper, a comparison of the onset, cessation and duration of the rainy season has been carried out using simulated rainfall data from the fourth generation Regional Climate Model (RegCM4) and rain gauge measurements from Ghana Meteorological Agency (GMet), covering a period of 1998 to 2012. Similar onset and cessation dates were seen in both the simulated and guage rainfall measurements for the various agro-ecological zones, resulting in similar duration of the rainy season. The average duration of the rainy season were less than 200 days for the savannah and coastal zones whereas the duration of the rainy season were beyond 200 days for the forest and transition zones. The bias of these comparisons was less than 30 days and the root mean square error (RMSE) values were less than 15 days for all stations, except Saltpond. The Pearson’s correlation (r) typically ranged between 0.4 and 0.8. However, negative correlations were observed for Tamale in the savannah zone, and the entire coastal zone. These findings are indications that RegCM4 has the potential to clearly simulate the movement of the rain belt, and thus, could fairly determine the onset, cessation and duration of the rainy season. The findings have significant contributions to effective water resource management and food security in Ghana, as the thriving of these sectors depend on the dynamics of the rainfall seasons.