黑河流域多年平均气温数据集（1961-2010）

采用黑河计划数据管理中心提供的黑河流域及周边地区21个气象常规观测站及黑河周边13个全国基准站的站点数据信息，对逐日气温进行统计整理，计算逐个站点的1961-2010年多年逐月气温数据，对其进行空间平稳性分析，计算变异系数，若变异系数大于100%，则采用地理加权回归计算站点与地理地形因素关系，得逐月气温分布趋势；若变异系数小于等于100%，则采用普通最小二乘回归计算站点气温值与地理地形因素（经纬度、高程）的关系，得逐月气温分布趋势；对去掉趋势后的残差采用HASM（High Accuracy Surface Modeling Method）进行拟合修正。最后将趋势面结果与残差修正结果相加既得1961-2010年黑河流域多年月平均气温分布。时间分辨率：逐日、逐月。空间分辨率：500m。

Data from 21 routine meteorological observation stations in the Heihe River Basin and its surrounding areas, plus 13 national reference stations around the Heihe River, provided by the Heihe Project Data Management Center, were statistically collated for daily air temperature, and the multi-year monthly air temperature data for each station from 1961 to 2010 were calculated. Spatial stationarity analysis was conducted to compute the coefficient of variation (CV). If the CV exceeded 100%, Geographically Weighted Regression (GWR) was employed to quantify the relationship between station air temperature and geographic/topographic factors, thereby deriving the monthly air temperature distribution trend; if the CV was less than or equal to 100%, Ordinary Least Squares (OLS) regression was used to calculate the association between station air temperature values and geographic/topographic factors (longitude, latitude and elevation) to obtain the monthly air temperature distribution trend. The residuals after detrending were fitted and corrected using HASM (High Accuracy Surface Modeling Method). Finally, the trend surface results and residual correction results were summed to yield the multi-year monthly mean air temperature distribution in the Heihe River Basin from 1961 to 2010. Temporal resolution: daily, monthly. Spatial resolution: 500m.

搜集汇总

背景与挑战

背景概述

该数据集提供了黑河流域1961-2010年间的多年逐月平均气温分布，空间分辨率为500m，数据大小为6.54 GB。数据通过地理加权回归和HASM方法进行空间建模，适用于气候研究和环境分析。