Solar radiation has been a major input to agricultural, hydrological, and ecological modeling. However, solar radiation is usually influenced by three groups of dynamic factors: sun–earth position, terrain, and atmospheric effects. Therefore, an integrated approach to accurately consider the impacts of those dynamic factors on solar radiation is essential to estimate solar radiation over rugged terrain. In this study, a spatial and temporal gap‐filling algorithm was proposed to obtain a seamless daily MODIS albedo dataset. A 1 km‐resolution digital elevation model was used to model the impact of local topography and shading by surrounding terrain on solar radiation. A sunshine‐based model was adopted to simulate radiation under the influence of clouds. A GIS‐based solar radiation model that incorporates albedo, shading by surrounding terrain, and variations in cloudiness was used to address the spatial variability of these factors in mountainous terrain. Compared with other independent solar radiation products, our model generated a more reliable solar radiation product over rugged terrain, with an R² of 0.88 and an RMSE of 2.55 MJ m⁻² day⁻¹. The improved solar radiation products and open source app can be used further in practice or scientific research.

中文翻译：

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纳入动态因素以改善基于GIS的太阳辐射模型

太阳辐射一直是农业，水文和生态模型的主要投入。但是，太阳辐射通常受三类动态因素影响：日地位置，地形和大气影响。因此，准确评估这些动态因素对太阳辐射的影响的综合方法对于估算崎terrain地形上的太阳辐射至关重要。在这项研究中，提出了一种空间和时间上的缝隙填充算法来获得无缝的每日MODIS反照率数据集。使用1 km分辨率的数字高程模型来模拟局部地形和周围地形对太阳辐射的阴影的影响。采用基于阳光的模型来模拟云影响下的辐射。基于GIS的太阳辐射模型，其中包含反照率，周围地形的阴影，云度的变化被用来解决这些因素在山区地形中的空间变异性。与其他独立的太阳辐射产品相比，我们的模型在崎terrain的地形上生成了更可靠的太阳辐射产品，R ²为0.88，RMSE为2.55 MJ m ^-2 天^-1。改进的太阳辐射产品和开源应用程序可以在实践或科学研究中进一步使用。