| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 300326 | Renewable Energy | 2013 | 8 Pages |
Spatial databases of climate data in digital format are required for many agricultural and eco-environmental systems. This study compared 7 approaches for interpolating monthly mean daily sunshine hours and solar radiation over mainland China. The approaches included simple geostatistical approaches to incorporation of Universal Transverse Mercator (UTM) coordinates and elevation. Performance indicators (root mean square error, mean absolute percentage error, and modeling efficiency) showed thin plate smoothing spline with UTM coordinates and elevation (TPS) outperformed other models. Besides, multiple linear regression equations for estimating solar radiation using geographical parameters (UTM coordinates and elevation) and sunshine hours predicted by TPS performed well for the study site. Spatial datasets of annual and monthly mean daily sunshine hours and solar radiation with 1 km resolution were then obtained by the best performance models. Spatial and temporal variability was clearly observed in sunshine hours and solar radiation. For both annual and seasonal scenarios, higher values of sunshine hours and solar radiation existed in north and Tibetan Plateau and lower values were observed in the middle and southern China. Lower values of annual solar radiation were also found in northeastern China. Sunshine hours and solar radiation varied with time, especially from spring to summer and from summer to autumn. The accurate gridded datasets are expected to provide significant information on more efficient use of natural resources.
► Seven methods were evaluated for interpolating sunshine hours and solar radiation. ► TPS with UTM coordinates and elevation outperformed other models for sunshine hours. ► MLR with geographical factors and sunshine hours performed well for solar radiation. ► Spatial data of sunshine hours and solar radiation (1 km resolution) were obtained. ► Spatial and temporal variability of sunshine hours and solar radiation were analyzed.
