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Synthesis of incoming shortwave radiation for hydrological simulation

机译:合成短波辐射以进行水文模拟

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Over the past decade, measurements of incoming shortwave radiation and of its proxy, daily bright sunshine hours, have become scarce in western Canada and elsewhere. As these data are critical for computing net radiation for snowmelt, evaporation, soil thaw and other components of the hydrological cycle, other means to estimate incoming shortwave radiation are needed. National Centers for Environmental Prediction and North American Regional Reanalysis atmospheric model reanalysis estimates of daily incoming shortwave radiation (Q_(si)), as well as the results of simplified semi-empirical calculations, were compared with measurements to determine their usefulness for hydrological calculations. It was found that all of the daily estimates show considerable bias and scatter compared with measurements. The best estimated values were produced by the semi-empirical Annandale method, particularly for simulations over the period of spring snowmelt. As many models require hourly radiation data, a method is presented for rescaling simulated daily Q_(si) data to the hourly values required.
机译:在过去的十年中,加拿大西部和其他地区对进入的短波辐射及其代理(每天的日照时间)的测量越来越少。由于这些数据对于计算融雪,蒸发,土壤融化和水文循环其他组成部分的净辐射至关重要,因此需要其他方法来估算短波辐射。将国家环境预测中心和北美区域再分析中心每日入射短波辐射(Q_(si))的大气模型再分析估计值以及简化的半经验计算结果与测量结果进行比较,以确定它们对水文计算的有用性。已经发现,与测量值相比,所有的每日估计值都显示出相当大的偏差和分散性。最好的估计值是通过半经验的安南代尔方法得出的,特别是在春季融雪期间的模拟中。由于许多模型需要每小时辐射数据,因此提出了一种方法,用于将模拟的每日Q_(si)数据重新缩放为所需的每小时值。

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