Monthly mean sunshine duration for the period in the Heihe River Basin (1961-2010)

Based on the data of 21 regular meteorological observation stations in Heihe River Basin and its surrounding areas and 13 national benchmark stations around Heihe River provided by the data management center of Heihe plan, the daily sunshine hours are statistically sorted out and the monthly sunshine hours data of 1961-2010 for many years are calculated. The spatial stability analysis is carried out to calculate the variation coefficient. If the variation coefficient is greater than 100%, the geographical weighted regression is used to calculate the relationship between the station and the geographical terrain factors, and the monthly sunshine hours distribution trend is obtained; if the variation coefficient is less than or equal to 100%, the ordinary least square regression is used to calculate the sunshine hours and the geographical terrain factors (longitude, latitude, elevation, slope, aspect, etc.) of the station ）The distribution trend of sunshine hours per month is obtained, and the residuals after removing the trend are fitted and corrected by HASM (high accuracy surface modeling method). Finally, the monthly average sunshine hours distribution of the Heihe River Basin in 1961-2010 is obtained by adding the trend surface results and the residual correction results. Time resolution: monthly average sunshine hours for many years from 1961 to 2010. Spatial resolution: 500M.

基于黑河流域及其周边地区21个常规气象观测站以及黑河流域周边13个国家基准站由黑河规划数据管理中心提供的数据，对每日日照时数进行了统计分析，并计算了1961年至2010年多年的月度日照时数数据。通过空间稳定性分析，计算了变异系数。若变异系数超过100%，则采用地理加权回归法计算站点与地理地形因素之间的关系，从而获得月度日照时数分布趋势；若变异系数不超过100%，则采用普通最小二乘回归法计算日照时数及站点地理地形因素（经度、纬度、海拔、坡度、朝向等）的分布趋势，并对去除趋势后的残差进行HASM（高精度表面建模方法）拟合与校正。最终，通过叠加趋势面结果与残差校正结果，获得了1961年至2010年黑河流域的月平均日照时数分布。时间分辨率：1961年至2010年多年的月平均日照时数。空间分辨率：500M。