Marine Arctic clouds greatly influence the radiative balance across the Arctic region and their effectiveness at scattering radiation changes considerably depending on cloud phase. Glaciation of these clouds relies on the presence of ice nucleating particles, which are often limited in number, so often clouds may be liquid even at temperatures well below 0 °C. As the Arctic region warms, cloud feedbacks may accelerate change or lessen absorbed solar radiation. Understanding aerosol-cloud interactions and the sources and pathways of aerosol particles across the Arctic region is central to improving our knowledge of these poorly understood processes. In this paper, aircraft observations of single particle chemical and physical properties are presented and the composition of cloud residuals in both warm and glaciated clouds are examined using a single-particle laser ablation aerosol particle mass spectrometer (LAAPToF). In cloud, the LAAPToF sampled behind a Counterflow Virtual Impactor (CVI) to detect cloud particle residuals, separated into liquid, mixed phase and ice clouds using observations of the fractional ice water content. Three different air mass regimes were sampled: northerly winds in both the marine boundary layer and the lower free troposphere; westerly winds from Canada in both the marine boundary layer and the free troposphere; and periods when the boundary layer winds were northerly but the air immediately above the boundary layer was from continental Canada. When the air in the boundary layer and free troposphere was from the north, most clouds were in the liquid phase, however, considerably more glaciation was observed when the air immediately above the boundary layer clouds was from Canada regardless of the flow direction in the boundary layer. Sea salt particles dominate the observed out of cloud aerosol particle population and liquid cloud particle residuals. However, in the detected mixed phase and ice cloud particle residuals dust and bioaerosol particles were substantial in number. Since these are known to be effective ice-nucleating particles, the observations suggest that long range transport of continental air and entrainment is an important pathway for the supply of aerosol to the remote Arctic boundary layer.

Download full-text PDF

Source
http://dx.doi.org/10.1039/d5fd00005jDOI Listing

Publication Analysis

Top Keywords

boundary layer
32
arctic region
12
cloud particle
12
particle residuals
12
free troposphere
12
air boundary
12
transport continental
8
clouds
8
cloud
8
clouds liquid
8

Similar Publications

Reaction Mechanism and Kinetic Model of the Transformation of Iron Monosulfide Thin Films into Pyrite Films.

J Phys Chem C Nanomater Interfaces

March 2025

Dpto. de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, Francisco Tomás y Valiente 7, E-28049 Madrid, Spain.

This work presents a comprehensive reaction and kinetic model of the pyrite thin films formation by sulfuration of Fe monosulfides when a molecular sulfur (S) atmosphere is used. This investigation completes the results already published on the explanation and interpretation of the sulfuration process that transforms metallic iron into pyrite. It was previously shown that the monosulfide species (i.

View Article and Find Full Text PDF

Co-benefit of forestation on ozone air quality and carbon storage in South China.

Nat Commun

March 2025

Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China.

Substantial forestation-induced greening has occurred over South China, affecting the terrestrial carbon storage and atmospheric chemistry. However, these effects have not been systematically quantified due to complex biosphere-atmosphere interactions. Here we integrate satellite observations, forestry statistics, and an improved atmospheric chemistry model to investigate the impacts of forestation on both carbon storage and ozone air quality.

View Article and Find Full Text PDF

3D DC geoelectric resistivity modeling with the singularity removal technique using finite element method based on orthosceme element.

Heliyon

February 2025

Physics of Earth and Complex Systems, Physics Department, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung, 40132, Indonesia.

As a commonly used method for near-surface surveys, there is a demand for lightweight, fast, and accurate 3D DC geoelectric resistivity modeling that can be execute on portable computers. This study employed a singularity removal technique, solving the primary potential equation analytically and the secondary potential equation numerically using the finite element method. The modeling domain was discretized using orthosceme elements derived from dividing a hexahedron into six elements.

View Article and Find Full Text PDF

Accurate segmentation of organs or lesions from medical images is essential for accurate disease diagnosis and organ morphometrics. Previously, most researchers mainly added feature extraction modules and simply aggregated the semantic features to U-Net network to improve the segmentation accuracy of medical images. However, these improved U-Net networks ignore the semantic differences of different organs in medical images and lack the fusion of high-level semantic features and low-level semantic features, which will lead to blurred or miss boundaries between similar organs and diseased areas.

View Article and Find Full Text PDF

Liver and tumor segmentation is an important technology for the diagnosis of hepatocellular carcinoma. However, most existing methods struggle to accurately delineate the boundaries of the liver and tumor due to significant differences in their shapes, sizes, and distributions, which leads to unclear segmentation of the liver contour and incorrect delineation of the lesion area. To address this gap, we propose a hybrid gabor attention convolution and transformer interaction network with hierarchical monitoring mechanism for liver and tumor segmentation, named HyborNet.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!