Observed aerosol properties and aerosol forecast evaluation in the Arctic region during cold air outbreaks

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Atmospheric Research Pub Date : 2026-05-01 Epub Date: 2026-01-16 DOI:10.1016/j.atmosres.2026.108781
Lintong Cai , Sunandan Mahant , Emma Weissburg , Anna M. Robertson , Jefferson R. Snider , Markus D. Petters
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引用次数: 0

Abstract

Arctic aerosols play an important role in modulating high-latitude weather and climate. However, spatiotemporal aerosol distributions in the Arctic remain poorly quantified. Here, we present aerosol physicochemical properties observed during the Cold Air Outbreak Experiment in the Sub-Arctic Region (CAESAR) campaign. The airborne measurements covered a wide vertical range, from the near-surface to the free troposphere, across remote regions between Scandinavia and the coast of Greenland. A merged particle distribution product, spanning from 10 nm to 3 μm in diameter, was developed by combining a suite of five aerosol sensors. Number closure was achieved between the different instruments. Estimated aerosol concentration from the merged size distribution varied between ∼50 and ∼ 700 scm−3. Refractory black carbon mass concentrations (70–800 nm) varied between ∼0.9 and ∼ 80.4 ng sm−3. Aerosol mass concentration observations were compared to the NASA Goddard Earth Observing System composition forecast (GEOS-CF). The model concentrations correlated with the observations exhibit agreement with the spatial and temporal distribution of localized black carbon aerosol plumes. During Research Flight (RF) 09, the black carbon mass concentration model-vs-observation Pearson correlation coefficient r is 0.84. Observed fine particulate matter (PM2.5) were significantly larger than the model concentrations within the marine boundary layer (MBL). The high observed PM2.5 concentrations were due to coarse mode aerosol, suggesting that the model did not accurately capture sea-spray production. Over the study domain, the median normalized mean bias (NMB) was −2454% and the normalized mean root square error (NMRSE) was 35% for PM2.5; and 1372% (10,619%) and 90% (177%) for refractory black carbon within the marine boundary layer (free troposphere), respectively. The dataset and data/model intercomparison provide new constraints for understanding aerosol properties in the Arctic region.

Abstract Image

北极地区在冷空气爆发期间观测到的气溶胶特性和气溶胶预报评价
北极气溶胶在调节高纬度天气和气候方面发挥着重要作用。然而,北极气溶胶时空分布的量化仍然很差。在这里,我们介绍了亚北极地区冷空气爆发实验(CAESAR)运动期间观测到的气溶胶物理化学性质。机载测量覆盖了从近地表到自由对流层的广泛垂直范围,横跨斯堪的纳维亚半岛和格陵兰海岸之间的偏远地区。通过将5个气溶胶传感器组合在一起,开发出了直径从10纳米到3 μm的合并颗粒分布产品。不同仪器之间实现了数字闭合。合并尺寸分布估计的气溶胶浓度在~ 50和~ 700 μ m−3之间变化。难熔黑碳质量浓度(70-800 nm)在~ 0.9 ~ ~ 80.4 ng sm−3之间变化。将气溶胶质量浓度观测结果与NASA戈达德地球观测系统成分预报(GEOS-CF)进行了比较。与观测值相关的模式浓度与局域黑碳气溶胶羽流的时空分布一致。研究飞行(RF) 09期间,黑碳质量浓度模型与观测值的Pearson相关系数r为0.84。观测到的细颗粒物(PM2.5)在海洋边界层(MBL)内显著大于模式浓度。观测到的高PM2.5浓度是由于粗模气溶胶造成的,这表明该模式没有准确地捕捉到海雾的产生。在研究区域内,PM2.5的中位数归一化平均偏差(NMB)为- 2454%,归一化均方根误差(NMRSE)为35%;在海洋边界层(自由对流层)中,难熔黑碳分别占1372%(10,619%)和90%(177%)。数据集和数据/模式的相互比较为了解北极地区气溶胶特性提供了新的约束条件。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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