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An Attempt to Utilize a Regional Dew Formation Model in Kenya
Water ( IF 3.4 ) Pub Date : 2021-04-30 , DOI: 10.3390/w13091261 Nahid Atashi , Juuso Tuure , Laura Alakukku , Dariush Rahimi , Petri Pellikka , Martha A. Zaidan , Henri Vuollekoski , Matti Räsänen , Markku Kulmala , Timo Vesala , Tareq Hussein
Water ( IF 3.4 ) Pub Date : 2021-04-30 , DOI: 10.3390/w13091261 Nahid Atashi , Juuso Tuure , Laura Alakukku , Dariush Rahimi , Petri Pellikka , Martha A. Zaidan , Henri Vuollekoski , Matti Räsänen , Markku Kulmala , Timo Vesala , Tareq Hussein
Model evaluation against experimental data is an important step towards accurate model predictions and simulations. Here, we evaluated an energy-balance model to predict dew formation occurrence and estimate its amount for East-African arid-climate conditions against 13 months of experimental dew harvesting data in Maktau, Kenya. The model was capable of predicting the dew formation occurrence effectively. However, it overestimated the harvestable dew amount by about a ratio of 1.7. As such, a factor of 0.6 was applied for a long-term period (1979–2018) to investigate the spatial and temporal variation of the dew formation in Kenya. The annual average of dew occurrence in Kenya was ~130 days with dew yield > 0.1 L/m2/day. The dew formation showed a seasonal cycle with the maximum yield in winter and minimum in summer. Three major dew formation zones were identified after cluster analysis: arid and semi-arid regions; mountain regions; and coastal regions. The average daily and yearly maximum dew yield were 0.05 and 18; 0.9 and 25; and 0.15 and 40 L/m2/day; respectively. A precise prediction of dew occurrence and dew yield is very challenging due to inherent limitations in numerical models and meteorological input parameters.
中文翻译:
尝试利用肯尼亚的区域露水形成模型
针对实验数据进行模型评估是朝着准确的模型预测和仿真迈出的重要一步。在这里,我们评估了一个能量平衡模型来预测露水的形成,并针对肯尼亚Maktau的13个月实验性露水收获数据,针对东非干旱气候条件估算了露水的形成量。该模型能够有效预测结露的发生。但是,它高估了可收获露水的比例约为1.7。因此,在长期(1979-2018年)中采用了0.6的系数来调查肯尼亚露水形成的时空变化。肯尼亚年平均露水发生时间约为130天,露水产量> 0.1 L / m 2/日。露水形成呈季节循环,冬季最高,夏季最低。通过聚类分析确定了三个主要的露水形成区:干旱和半干旱地区;干旱地区和半干旱地区。山区;和沿海地区。平均每日和每年最大露水产量分别为0.05和18;0.9和25; 和0.15和40 L / m 2 /天;分别。由于数值模型和气象输入参数的固有局限性,对露水发生和露水产量的精确预测非常具有挑战性。
更新日期:2021-04-30
中文翻译:
尝试利用肯尼亚的区域露水形成模型
针对实验数据进行模型评估是朝着准确的模型预测和仿真迈出的重要一步。在这里,我们评估了一个能量平衡模型来预测露水的形成,并针对肯尼亚Maktau的13个月实验性露水收获数据,针对东非干旱气候条件估算了露水的形成量。该模型能够有效预测结露的发生。但是,它高估了可收获露水的比例约为1.7。因此,在长期(1979-2018年)中采用了0.6的系数来调查肯尼亚露水形成的时空变化。肯尼亚年平均露水发生时间约为130天,露水产量> 0.1 L / m 2/日。露水形成呈季节循环,冬季最高,夏季最低。通过聚类分析确定了三个主要的露水形成区:干旱和半干旱地区;干旱地区和半干旱地区。山区;和沿海地区。平均每日和每年最大露水产量分别为0.05和18;0.9和25; 和0.15和40 L / m 2 /天;分别。由于数值模型和气象输入参数的固有局限性,对露水发生和露水产量的精确预测非常具有挑战性。