Monthly average humidity of Heihe river basin (1961-2010)

Based on the data information provided by the data management center of Heihe project, the daily humidity data of 21 regular meteorological observation stations in Heihe River Basin and its surrounding areas and 13 national reference stations around Heihe River were collected and calculated. The spatial stability analysis is carried out to calculate the coefficient of variation. If the coefficient of variation 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 humidity distribution trend is obtained; if the coefficient of variation is less than or equal to 100%, the common least square regression is used to calculate the relationship between the station humidity value and the geographical terrain factors (latitude, longitude, elevation, slope, aspect, etc.) The residual after removing the trend was fitted and corrected by HASM (high accuracy surface modeling method). Finally, the monthly average humidity 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 humidity for many years from 1961 to 2010. Spatial resolution: 500M.

基于黑河项目数据管理中心提供的数据信息，收集并计算了黑河流域及其周边地区21个常规气象观测站以及黑河周边13个国家基准站的每日湿度数据。通过空间稳定性分析，计算了变差系数。若变差系数超过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，从而获得月度湿度分布趋势；若变差系数小于或等于100%，则采用普通最小二乘回归法计算站点湿度值与地理地形因素（纬度、经度、海拔、坡度、朝向等）之间的关系。在去除趋势后的残差通过高精度表面建模法（HASM）进行拟合和校正。最终，通过将趋势面结果和残差校正结果相加，获得了1961年至2010年间黑河流域的月平均湿度分布。时间分辨率：自1961年至2010年多年的月平均湿度。空间分辨率：500米。