Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK climate model

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Ross J. Herbert, Alberto Sanchez-Marroquin, Daniel P. Grosvenor, Kirsty J. Pringle, Stephen R. Arnold, Benjamin J. Murray, Kenneth S. Carslaw
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Abstract

Abstract. Changes in the availability of a subset of aerosol known as ice-nucleating particles (INPs) can substantially alter cloud microphysical and radiative properties. Despite very large spatial and temporal variability in INP properties, many climate models do not currently represent the link between the global distribution of aerosols and INPs, and primary ice production in clouds. Here we use the UK Earth System Model to simulate the global distribution of dust and marine-sourced INPs over an annual cycle. The model captures the overall spatial and temporal distribution of measured INP concentrations, which is strongly influenced by the world’s major mineral dust source regions. A negative bias in simulated versus measured INP concentrations at higher freezing temperatures points to incorrectly defined INP properties or a missing source of INPs. We find that the ability of the model to reproduce measured INP concentrations is greatly improved by representing dust as a mixture of mineralogical and organic ice-nucleating components, as present in many soils. To improve the agreement further, we define an optimized hypothetical parameterization of dust INP activity (ns(T)) as a function of temperature with a logarithmic slope of -0.175 K−1, which is much shallower than existing parameterizations (e.g., -0.35 K−1 for the K-feldspar data of Harrison et al. (2019)). The results point to a globally important role for an organic component associated with mineral dust.
英国气候模型的全球模拟暴露出我们对冰核粒子源认识的差距
摘要被称为冰核粒子(INPs)的气溶胶子集的可用性变化会大大改变云的微物理和辐射特性。尽管 INP 特性的空间和时间变异性非常大,但许多气候模式目前并未体现气溶胶和 INPs 的全球分布与云中原生冰生成之间的联系。在这里,我们利用英国地球系统模式模拟了尘埃和海洋源 INPs 在一个年周期内的全球分布。该模型捕捉到了测得的 INP 浓度的总体时空分布,而这一分布受到全球主要矿物尘源区的强烈影响。在较高的冰冻温度下,模拟的 INP 浓度与测量的 INP 浓度之间存在负偏差,这表明 INP 属性的定义不正确或 INP 来源缺失。我们发现,将粉尘表示为矿物成分和有机冰核成分的混合物(就像许多土壤中存在的那样),可以大大提高模型再现测得的 INP 浓度的能力。为了进一步提高一致性,我们将尘埃 INP 活性(ns(T))的优化假设参数化定义为温度的函数,其对数斜率为 -0.175 K-1,比现有参数化(例如 Harrison 等人(2019)的 K 长石数据为 -0.35 K-1)要浅得多。这些结果表明,与矿物尘埃相关的有机成分在全球范围内发挥着重要作用。
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来源期刊
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics 地学-气象与大气科学
CiteScore
10.70
自引率
20.60%
发文量
702
审稿时长
6 months
期刊介绍: Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere. The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.
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