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A simple fusion algorithm of polar-orbiting and geostationary satellite data for the estimation of surface shortwave fluxes

机译:极轨和对地静止卫星数据的一种简单融合算法,用于估计表面短波通量

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Based on our previous studies, a simple fusion algorithm is proposed to estimate surface shortwave fluxes with polar-orbiting and geostationary satellite data. A shortwave flux component of one geostationary moment can be retrieved by only five inputs which include the known flux of one polar-orbiting moment, solar zenith angles and cloud fractions of the two moments. The preliminary validations are performed in terms of both the simulated and realistic datasets. The R2 for each component is higher than 0.90 in the simulated case. The accuracy is relatively lower for the more complicated realistic situations. All of the validation results show that the simple and practical fusion algorithm has the potential to estimate surface shortwave fluxes with acceptable accuracy. With the combination of polar-orbiting (MODIS) and geostationary (Fengyun-2C) satellite data, surface shortwave fluxes with the temporal resolution of one hour were retrieved over the Tibetan Plateau.
机译:在我们之前的研究基础上,提出了一种简单的融合算法,利用极轨道和对地静止卫星数据估算地表短波通量。一个地球静止矩的短波通量分量只能通过五个输入来检索,其中包括一个极地轨道矩的已知通量,太阳天顶角和两个矩的云量。初步验证是针对模拟数据集和实际数据集进行的。在模拟情况下,每个组件的R2均高于0.90。对于更复杂的现实情况,准确性相对较低。所有的验证结果表明,简单实用的融合算法具有以可接受的精度估算表面短波通量的潜力。结合极轨(MODIS)和对地静止(Fengyun-2C)卫星数据,在青藏高原上以一小时的时间分辨率获取了地面短波通量。

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