中国0.5°分辨率降水空间分布数据集（1961-2018年）

数据基于中国气象局的0.5°*0.5°网格数据集，以及海拔、高差、坡度、地形湿润指数、纬度和经度等协变量。利用中国各地气象站的观测数据对HRLT日数据集的准确性进行了评估。最高气温和最低气温的估算比降水量的估算更为准确。最高气温的平均绝对误差(MAE)、均方根误差(RMSE)、皮尔逊相关系数(Cor)、调整后决定系数(R2)和Nash-Sutcliffe建模效率(NSE)分别为1.07°C、1.62°C、0.99、0.98和0.98。最低气温的 MAE、RMSE、Cor、R2和 NSE 分别为 1.08°C、1.53°C、0.99、0.99 和 0.99。降水的 MAE、RMSE、Cor、R2和 NSE 分别为1.30mm、4.78mm、0.84、0.71和0.70。数据集空间分辨率高，覆盖时间更长。This dataset is based on the 0.5°×0.5° grid dataset from the China Meteorological Administration, along with covariates including elevation, elevation difference, slope, topographic wetness index, latitude and longitude. The accuracy of the daily HRLT dataset was evaluated using observational data from meteorological stations across China. Estimates of maximum and minimum air temperature are more accurate than those of precipitation. The mean absolute error (MAE), root mean square error (RMSE), Pearson correlation coefficient (Cor), adjusted coefficient of determination (R²), and Nash-Sutcliffe modeling efficiency (NSE) for maximum air temperature are 1.07°C, 1.62°C, 0.99, 0.98, and 0.98, respectively. For minimum air temperature, the corresponding MAE, RMSE, Cor, R² and NSE are 1.08°C, 1.53°C, 0.99, 0.99 and 0.99, respectively. For precipitation, the MAE, RMSE, Cor, R² and NSE are 1.30 mm, 4.78 mm, 0.84, 0.71 and 0.70, respectively. This dataset features high spatial resolution and a longer temporal coverage period.

搜集汇总

背景与挑战

背景概述

该数据集提供了中国1961-2018年间的0.5°分辨率降水空间分布数据，基于中国气象局的网格数据集和多种协变量生成，并通过气象站观测数据进行了准确性评估。数据集具有较高的空间分辨率和较长的覆盖时间，适用于地理学和气候研究等领域。