Aerosol indirect-effect-derived PM2.5 contributions during the development of convective clouds over the Yellow Sea in July of 2017

Meteorological processes are investigated during the development of deep convective clouds over the Yellow Sea inside a quasi-stationary rainy front in the East Asian region. WRF-Chem simulations were conducted to assess the aerosol-indirect-effect (AIE)-derived PM2.5 contributions to the cloud microphysical process in deep convective clouds and the associated precipitation. In our dataset, you can find output of WRF-Chem baseline simulations (BASE) and other sensitivity simulated outputs (CONTROL). Furthermore, model variables of precipitations, cloud top temperature (CTT), surface-level pressure (SLP), convective available potential energy (CAPE), and hydrometer mixing ratios of cloud water (qcloud), raindrops (qrain), and ice (qice) can be found in these zip files. If you have any difficulty downloading these datasets, please feel free to contact the first author, [e-mail]. All references and acknowledgments can be found in our paper

本数据集针对东亚区域准静止雨锋内黄海上空深厚对流云发展过程中的气象过程展开研究。本研究采用WRF-Chem模式开展模拟试验，以评估气溶胶间接效应（Aerosol-Indirect-Effect, AIE）驱动的PM2.5对深厚对流云云微物理过程及伴随降水的影响。本数据集包含WRF-Chem基准模拟（BASE）与多组敏感性模拟输出（CONTROL）结果。此外，上述压缩文件中还包含以下模式变量：降水量、云顶温度（Cloud Top Temperature, CTT）、地面气压（Surface-Level Pressure, SLP）、对流有效位能（Convective Available Potential Energy, CAPE），以及云水（qcloud）、雨滴（qrain）与冰晶（qice）的水成物混合比。若您在数据集下载过程中遇到任何问题，可随时联系第一作者：[e-mail]。所有参考文献与致谢内容均可在本研究论文中查阅。