通过正矩阵因式分解识别亚微米级环境海盐数量粒度分布

Wei Xu*, Haobin Zhong, Chunshui Lin, Ru-Jin Huang, Jurgita Ovadnevaite, Darius Ceburnis* and Colin O’Dowd, 
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引用次数: 0

摘要

海盐气溶胶是最大的天然气溶胶源。海盐气溶胶的粒径分布(PNSD)决定了其直接和间接辐射强迫。海盐的 PNSD 对于量化海盐对海洋云核群的贡献非常重要。然而,测量海盐的 PNSD 具有挑战性,尤其是对于亚微米颗粒。在本研究中,我们提出了一种通过对环境粒径分布数据应用正矩阵因式分解(PMF)来确定海盐 PNSD 的方法。利用大体积 PM1(直径小于 1 μm 的颗粒物)海盐质量浓度作为外部约束条件,可以成功地检索出海盐的 PNSD。这种方法有望促进我们对海盐气溶胶全球分布和气候影响的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of Sub-micrometer Ambient Sea Salt Number Size Distribution by Positive Matrix Factorization

Identification of Sub-micrometer Ambient Sea Salt Number Size Distribution by Positive Matrix Factorization

Sea salt aerosol is the largest natural aerosol source. The particle number size distribution (PNSD) of sea salt aerosol determines its direct and indirect radiative forcing. The PNSD of sea salt is important in quantifying the contribution of sea salt to marine cloud nuclei population. However, measuring the PNSD of sea salt is challenging, especially for sub-micrometer particles. In this study, we propose an approach to determine the PNSD of sea salt by applying positive matrix factorization (PMF) on ambient particle number size distribution data. Using the bulk PM1 (particulate matter smaller than 1 μm in diameter) sea salt mass concentration as an external constraint, the PNSD of sea salt can be successfully retrieved. This approach is expected to advance our understanding of the global distribution and climate impact of sea salt aerosol.

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