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

本研究针对东亚区域准静止雨锋内黄海上空深对流云发展过程中的气象过程展开探究。通过开展WRF-Chem数值模拟，评估气溶胶间接效应（AIE）引发的PM2.5对深对流云云微物理过程及伴随降水的贡献。

本数据集包含WRF-Chem基准模拟（BASE）与其他敏感性模拟输出（CONTROL）结果。此外，上述压缩包中还涵盖降水、云顶温度（CTT）、海平面气压（SLP）、对流有效位能（CAPE），以及云水（qcloud）、雨滴（qrain）与冰晶（qice）的水成物混合比等模式变量数据。

若您在下载数据集时遇到任何困难，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。