论文标题
识别丘陵珠（Pyrocb）的原因
Identifying the Causes of Pyrocumulonimbus (PyroCb)
论文作者
论文摘要
提出了来自pyrocb的观察数据（由极端野火产生的风暴云）的首次因果发现分析。不变的因果预测用于开发工具来了解pyrocb形成的因果驱动因素。这包括用于测试$ y $的有条件独立测试，有条件地独立于$ e $给定的$ x $，用于$ x $的二进制变量$ y $和多变量，连续变量$ x $ and $ e $，以及贪婪的-ICP搜索算法，依赖于更少的条件独立性测试，以获得更小的可管理的Causal Projectors。使用这些工具，我们确定了七个因果预测因子的子集，这些因素预测因子与域知识形成鲜明对比：表面明智的热通量，相对湿度为$ 850 $ HPA，风的一部分为$ 250 $ hpa，$ 13.3 $ 13.3 $微米，热量器，热量排放，对手的可用势能和高度。
A first causal discovery analysis from observational data of pyroCb (storm clouds generated from extreme wildfires) is presented. Invariant Causal Prediction was used to develop tools to understand the causal drivers of pyroCb formation. This includes a conditional independence test for testing $Y$ conditionally independent of $E$ given $X$ for binary variable $Y$ and multivariate, continuous variables $X$ and $E$, and a greedy-ICP search algorithm that relies on fewer conditional independence tests to obtain a smaller more manageable set of causal predictors. With these tools, we identified a subset of seven causal predictors which are plausible when contrasted with domain knowledge: surface sensible heat flux, relative humidity at $850$ hPa, a component of wind at $250$ hPa, $13.3$ micro-meters, thermal emissions, convective available potential energy, and altitude.
