Trajectory precipitation and station data for three GCMs and for observations

This dataset contains for 3 stations, ATTO, SMEAR-II (Hyytiälä) and Zeppelin (Svalbard) and for three GCMs (NorESM, EC-Earth and ECHAM-SALSA): - precipitation extracted alalong back trajectories calculated using HYSPLIT and extracted from the models using nearest-neighboor interpolation. - Aerosol size and composition data from the grid box covering each station in the bottom layer of the model. Finally the ERA5 files contain observations based on the data published from Khadir et al (2023, 10.1029/2023GL104325) available for download at https://zenodo.org/records/7907474, but the precipitation data is extracted from regridded ERA5 (to 1x1 deg resolution) in the same way as for the models (nearest-neighboor interpolation). The dimensions of the data are - time_traj: hours of the back trajectory - time: time of the "observation"/"modelled obs" in UTC- diameter or D: aerosol particle diameter in nmThe variables are:- Rainfall: precipitation rate in mm/h- lat: latitude of the trajectory- lon: longitude of the trajectory- dNdlog10D or pnsd: particle number size distribution Note that the publication associated with this data is not yet published and additions may be made to the dataset during the review process.本数据集涵盖ATTO、SMEAR-II（赫蒂亚莱（Hyytiälä））与齐柏林（斯瓦尔巴（Svalbard））3个观测站点，以及NorESM、EC-Earth、ECHAM-SALSA共3个全球气候模式（GCM, Global Climate Model）： - 沿后向轨迹提取的降水数据：后向轨迹采用HYSPLIT模式计算，降水数据通过最近邻插值法从模式中获取； - 覆盖各站点的模式底层网格格点气溶胶粒径与组分数据。 此外，本数据集附带的ERA5文件包含基于Khadir等人（2023, 10.1029/2023GL104325）发表的观测数据，该数据可从https://zenodo.org/records/7907474下载；本次研究中的降水数据则采用与气候模式一致的最近邻插值法，从重网格化至1×1度分辨率的ERA5数据中提取得到。 本数据集的数据维度如下： - time_traj：后向轨迹对应的小时数 - time：协调世界时（UTC）下的“观测”或“模式模拟观测”时刻 - diameter 或 D：气溶胶粒子粒径，单位为纳米（nm） 数据集包含以下变量： - Rainfall：降水率，单位为毫米每小时（mm/h） - lat：轨迹纬度 - lon：轨迹经度 - dNdlog10D 或 pnsd：粒子数粒径分布 需注意，本数据集关联的学术论文尚未正式发表，在同行评审阶段可能会对数据集进行补充调整。