Using MODIS remote sensing cloud cover data from 2019 to 2021,based on the negative correlation be-tween surface meteorological observation sunshine percentage and satellite remote sensing cloud cover,an inversion calculation model was established for different months and regions.The monthly sunshine percentage and sunshine hours at a spatial resolution of 1 km were calculated,and representative surface meteorological station observation data were selected to verify the calculation results of sunshine hours.The results show that there is a highly signifi-cant correlation between the monthly average remote sensing cloud cover and the percentage of sunshine in differ-ent climatic regions of Hubei province.The relative error in calculating annual(monthly)sunshine hours at each representative station is less than 2%(10 hours),indicating that the constructed sunshine hours inversion model has high calculation accuracy.The calculated annual sunshine hours in Hubei range from 854.8 hours to 1952.8 hours.The southwestern western regions of Hubei province have the lowest sunshine hours,with annual sunshine hours below 1100 hours.The northeastern northern and northwestern southern regions of Hubei province have the highest sunshine hours,with annual sunshine hours exceeding 1850 hours.From the inversion results of sunshine hours,it is also found that due to the thermal conditions differences between water and land,the cloud cover over lakes in the Hubei plain areas are less than that of surrounding land,and the sunshine hours are larger than that of surrounding land.
国家科技期刊平台
NSTL
万方数据
