论文标题
与云尺寸分布的太阳辐照度变化的观察结果
Reconciling observations of solar irradiance variability with cloud size distributions
论文作者
论文摘要
云在表面上施放阴影,并通过吸收和散射阳光来局部增强太阳辐照度,从而导致表面上的快速和大太阳辐照波动。典型的时空尺度和这种日辐照度变化的驱动机制尚不清楚,因此即使有一天的变异性预测也是不准确的。在这里,我们使用长期的高频太阳辐照度观测值与卫星图像,数值模拟和概念建模相结合,以显示辐照度可变性如何与云大小分布相关。云阴影大小是根据功率定律在多个数量级上分布的,仅在750米以下的尺度上偏离云大小分布。局部云增强的辐照度与阴影一样频繁,并且主要由边界层云驱动,但分布在较小的尺度范围内。我们将太阳辐照度可变性的研究与云上的研究调和,这将基本的理解带入了驱动辐照度变异性的原因。我们的发现不仅对天气和气候建模有影响,而且对植被的太阳能和光合作用也有影响,在这种情况下,对表面太阳辐照度的详细了解至关重要。
Clouds cast shadows on the surface and locally enhance solar irradiance by absorbing and scattering sunlight, resulting in fast and large solar irradiance fluctuations on the surface. Typical spatiotemporal scales and driving mechanisms of this intra-day irradiance variability are not well known, hence even one day ahead forecasts of variability are inaccurate. Here we use long term, high frequency solar irradiance observations combined with satellite imagery, numerical simulations, and conceptual modelling to show how irradiance variability is linked to the cloud size distribution. Cloud shadow sizes are distributed according to a power law over multiple orders of magnitude, deviating only from the cloud size distribution due to cloud edge transparency at scales below 750 meters. Locally cloud-enhanced irradiance occurs as frequently as shadows, and is similarly driven mostly by boundary layer clouds, but distributed over a smaller range of scales. We reconcile studies of solar irradiance variability with those on clouds, which brings fundamental understanding to what drives irradiance variability. Our findings have implications for not only for weather and climate modelling, but also for solar energy and photosynthesis by vegetation, where detailed knowledge of surface solar irradiance is essential.