Ice nucleating particles (INPs) are a rare subset of particles that can have an outsized impact relative to their prevalence. To simulate INP variability, models require parameterizations for the most important sources of INPs. Most parameterizations in the literature were developed from laboratory experiments that used proxies for ambient particles. Whether these laboratory models effectively represent ambient aerosol is still not well understood and parameterizations developed from field measurements may be more atmospherically relevant. Expanding on previous work in which we used an ice chamber and a single-particle mass spectrometer (SPMS) to characterize INP composition, we calculate heterogeneous ice nucleation rate coefficients for ambient particles. We find good agreement between our dust and previous measurements of airborne dust. We also use a Monte Carlo approach to assess the relative contribution of each measurement to the uncertainty and find that the biggest source is the sampling efficiency of the SPMS.

中文翻译：

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从环境测量发展异质冰成核率系数参数化

冰成核粒子 (INP) 是一种罕见的粒子子集，相对于它们的流行程度而言，它们可能会产生巨大的影响。为了模拟 INP 可变性，模型需要对最重要的 INP 来源进行参数化。文献中的大多数参数化都是从使用环境粒子代理的实验室实验开发的。这些实验室模型是否有效地代表了环境气溶胶仍然没有得到很好的理解，从现场测量开发的参数化可能与大气更相关。扩展之前我们使用冰室和单粒子质谱仪 (SPMS) 来表征 INP 组成的工作，我们计算了环境粒子的异质冰成核率系数。我们发现我们的灰尘与之前的空气传播灰尘测量结果非常吻合。