Monthly mean evaporate of the Heihe River Basin (2000-2009)

The routine meteorological observation data set of four times a day provided by the data management center of Heihe plan is adopted, including 13 stations. The daily evaporation was statistically sorted out, and the monthly evaporation data of 2000-2009 years was 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 evaporation 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 evaporation value and the geographical terrain factors (latitude, longitude, elevation, slope, aspect, etc.) After the trend is removed, the residuals are fitted and corrected by HASM (high accuracy surface modeling method). Finally, the monthly average evaporation 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 evaporation in 2000-2009. Spatial resolution: 500M.

本数据集采纳了黑河计划数据管理中心提供的每日四次常规气象观测数据集，涵盖13个监测站。通过对每日蒸发量的统计排序，计算出2000至2009年间的月蒸发数据。执行空间稳定性分析，计算变异系数。若变异系数超过100%，则采用地理加权回归法，以计算站点与地理地形因素（如纬度、经度、海拔、坡度、方位等）之间的关系，并得出月蒸发分布趋势；若变异系数不超过100%，则运用普通最小二乘回归法，计算站点蒸发值与地理地形因素之间的关系。在去除趋势后，通过对残差进行HASM（高精度表面建模法）拟合与校正。最终，通过叠加趋势面结果与残差校正结果，获取1961至2010年黑河流域的月平均蒸发分布。时间分辨率：2000至2009年的月平均蒸发；空间分辨率：500米。