2011-2021年中国0.05°比湿产品数据集

2011-2021年中国0.05°气压产品数据集提供了月尺度的气压数据，基于了2011-2021年小时分辨率的ERA陆地产品数据，ERA5是ECMWF（欧洲中期天气预报中心）对1950年1月至今全球气候的第五代大气再分析数据集。ERA5由ECMWF的哥白尼气候变化服务（C3S）生产。ERA5提供了大量大气、陆地和海洋气候变量的每小时估计值。这些数据覆盖了30公里网格上的地球，并使用137个从地表到80公里高度的高度来解析大气，包括在降低空间和时间分辨率时所有变量的不确定性信息。ERA5将模型数据与来自世界各地的观测数据结合起来，形成一个全球完整的、一致的数据集，取代了其前身ERA-Interim再分析。其中ERA5 DAILY提供每天7个ERA5气候再分析参数的汇总值：2m空气温度、2m露点温度、总降水量、平均海平面气压、表面气压、10m的u风分量和10m的v风分量。此外，根据每小时的2米空气温度数据，计算出2m处的每日最低和最高空气温度。每日总降水值以每日总和给出。所有其他参数都以日平均数提供。包括基于ERA5陆地产品数据的气压数据；然后利用空间统计插值方法（Spline）将该0.1度空间分辨率数据进一步降尺度到0.05°空间分辨率，最后通过将小时分辨率数据累计为逐月数据。

The 0.05° resolution atmospheric pressure product dataset for China, covering 2011–2021, provides monthly-scale atmospheric pressure data derived from hourly-resolution ERA Land product datasets spanning the same period. ERA5 is the fifth-generation global atmospheric reanalysis dataset for climate, developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) from January 1950 to the present. ERA5 is produced by ECMWF in partnership with the Copernicus Climate Change Service (C3S). ERA5 offers hourly estimates of a comprehensive range of atmospheric, terrestrial and marine climate variables. The dataset covers the globe on a 30-kilometer grid, resolves the atmospheric vertical structure using 137 levels ranging from the surface up to 80 km altitude, and includes uncertainty information for all variables when spatial and temporal resolutions are degraded. ERA5 combines model data with observational data from across the world to build a globally complete and consistent dataset, superseding its predecessor, the ERA-Interim reanalysis. The ERA5 DAILY product provides aggregated daily values of seven ERA5 reanalysis parameters: 2-meter air temperature, 2-meter dew point temperature, total precipitation, mean sea level pressure, surface pressure, 10-meter u-wind component, and 10-meter v-wind component. Additionally, daily minimum and maximum 2-meter air temperatures are calculated from hourly 2-meter air temperature data. Daily total precipitation values are presented as daily sums, while all other parameters are provided as daily averages. The pressure data in this dataset is based on ERA5 Land product data. Subsequently, the spatial statistical interpolation method (Spline) is used to further downscale the 0.1-degree spatial resolution data to 0.05-degree spatial resolution. Finally, hourly-resolution data are accumulated to generate monthly-scale datasets.