High-spatiotemporal-resolution estimation of solar energy component in the United States using a new satellite-based model
High-spatiotemporal-resolution estimation of solar energy component in the United States using a new satellite-based model
复制标题
使用新的卫星模型对美国太阳能成分进行高时空分辨率估计
DOI：
10.1016/j.jenvman.2021.114077
复制
发表时间：
2022
影响因子：
8.7
通讯作者：
Qian Yu
中科院分区：
文献类型：
--
作者：
Jiang Chen;Weining Zhu;Qian Yu
太阳散射辐射是太阳总辐射的重要组成部分，是太阳能利用和生态系统光合作用的重要参数。一些气象模型已被开发来估计Rd具有可接受的精度，但它们的空间尺度往往是小的，由于有限的气象站数量。基于卫星的模型提供了精确和大规模的Rg估计。然而，遥感估算的Rd往往是低空间分辨率和大的不确定性，因为他们的方法是基于不准确的地面和大气参数。为了应对这些挑战，高时空分辨率（半小时和1公里）的Rd在美国估计使用的新一代地球同步卫星地球同步业务环境卫星（GOES-16）的大气层顶（TOA）数据和方法迭代随机森林（RF）。结果表明，迭代RF模型比简单的RF模型和人工神经网络（ANN）模型具有更高的精度，并且使用TIR（热红外）波段可以提高模型的精度。最佳模型可以估计半小时Rd，精度R2= 0.88，RMSE = 37.81 W/m2，MBE = 0.01 W/m2。与以前的0.01度（1011公里）Rd产品地球多色成像相机（EPIC）相比，GOES-16估计的1公里Rd具有类似的空间模式。此外，基于GOES-16估计的半小时和1公里的Rd在美国，Rd的时空异质性进行了定量观察。该方法可以产生更多的高时空分辨率的Rd产品，这些产品是非常有帮助的许多太阳能相关的研究课题和工业应用。
Diffuse solar radiation (Rd), known as an important component of global solar radiation (Rg), is a key parameter for solar energy related applications and ecosystem photosynthesis. Some meteorological models have been developed to estimate Rd with acceptable accuracy, but their spatial scales are often small due to the limited meteorological station number. Satellite-based models provide accurate and large-scale Rg estimates. However, remote sensing estimations of Rd are often with low spatial resolutions and large uncertainties, because their methods were based on inaccurate surface and atmospheric parameters. To address these challenges, the high-spatiotemporal-resolution (half-hourly and 1-km) Rd in the United States was estimated using the top-of-atmosphere (TOA) data from the new-generation geostationary satellite Geostationary Operational Environmental Satellites (GOES-16) and the method iterative random forest (RF). The results showed that the iterative RF model had higher accuracy than the simple RF and artificial neural network (ANN) models, and using TIR (thermal infrared) bands can improve models’ accuracy. The best model can estimate half-hourly Rd with the accuracy R2= 0.88, RMSE = 37.81 W/m2, and MBE = 0.01 W/m2. Compared with the previous 0.01-degree (∼11-km) Rd product Earth Polychromatic Imaging Camera (EPIC), the GOES-16 estimated 1-km Rd had similar spatial patterns. Moreover, based on the GOES-16 estimated half-hourly and 1-km Rd in the United States, the spatiotemporal heterogeneity of Rd was quantitatively observed. The proposed approach can be used to produce more high-spatiotemporal-resolution Rd products, and these products are very helpful for many solar-related research topics and industrial applications.