利用可解释机器学习了解卷云（英文版）

英文标题：Understanding cirrus clouds using explainable machine learning中文摘要：使用机器学习和气象和气溶胶条件，预测和分析云的特性和与之相关的因素，模型表明，气象和气溶胶条件可以以预测云的性质并具有显着的影响。英文摘要：Cirrus clouds are key modulators of Earth's climate. Their dependencies onmeteorological and aerosol conditions are among the largest uncertainties inglobal climate models. This work uses three years of satellite and reanalysisdata to study the link between cirrus drivers and cloud properties. We use agradient-boosted machine learning model and a Long Shor