CHARACTERIZATION OF SPATIAL AND TEMPORAL CHANGES IN REGIONAL RADIATION RESOURCES IN CHINA'S MAINLAND AT DIFFERENT TIME SCALES
This research examines the spatiotemporal variations in surface solar radiation in China with the aim of providing a scientific basis for agricultural zoning and the development and utilization of renewable energy. This study used the data from 496 meteorological stations to calculate surface solar radiation in China from 1961 to 2020,and it analyzed the spatiotemporal variations in solar radiation across annual,seasonal,and crop-specific growing periods. The analysis showed a northwest-high,southeast-low spatial gradient,with the Qinghai-Tibet Plateau and Sichuan Basin as high and low-value areas,respectively. Seasonal variations were significant,with summer (1672 MJ·m-2) having the highest and winter (800 MJ·m-2) the lowest radiation. Over six decades,the total annual surface solar radiation in China had decreased by 4.15％,with the most significant decline in East and Central China (-92.5MJ·m-2·10a-1),forming a "darkening" zone due to reduced summer radiation. In contrast,Yunnan had seen an increase,mainly due to enhanced autumn and winter radiation. (3) Regional trends in the growing season of radiation varied,with east and south showing decreased and northwest and northeast increased. Climate warming had extended the growing season by 13.8 and 16.8 days for ≥0℃ and ≥10℃ temperatures,respectively,impacting solar radiation trends differently across regions. The synergistic enhancement of light and temperature in the northwest and northeast regions was beneficial for selecting crop varieties with longer growth periods and higher quality to achieve high yields. In summary,there is a significant spatial variation in surface solar radiation in China,with an overall downward trend in recent decades. And the trend changes in different regions over the past 20 years varied,and the development of agriculture and photovoltaic industries needs to be adapted to local conditions.
surface solar radiationspatial distributionclimatic inclination ratelimit temperaturegrowing season
NETL
NSTL
万方数据
