Atmospheric and Oceanic Optics最新文献_第6页

Composition and Morphology of Near-surface Atmospheric Aerosol Particles in Urbanized Area of Southern Baikal Region 南贝加尔湖地区城市化地区近地表大气气溶胶粒子组成与形态

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701118

N. S. Chebunina, L. P. Golobokova, V. I. Egorov, T. V. Khodzher

{"title":"Composition and Morphology of Near-surface Atmospheric Aerosol Particles in Urbanized Area of Southern Baikal Region","authors":"N. S. Chebunina, L. P. Golobokova, V. I. Egorov, T. V. Khodzher","doi":"10.1134/S1024856025701118","DOIUrl":"10.1134/S1024856025701118","url":null,"abstract":"The problem of aerosol pollution of the atmosphere and associated climate change has become increasingly relevant. Of particular interest are physicochemical properties and structure of atmospheric aerosols. Being an important component of polluted air, aerosols affect various atmospheric processes, the environment, and human health. Analysis of the morphology and composition of aerosol particles enables us to identify the features of their behavior in the atmosphere and determine their origin. This paper studies the composition and morphology of near-surface atmospheric aerosol particles at a year-round monitoring station (Irkutsk) in different seasons of 2024 using scanning electron microscopy and X-ray spectral analysis. The main types of aerosol particles (soot, fly ash, mineral, and biogenic particles) are identified, and their shapes and sizes are determined. It has been established that mineral and biogenic particles predominate in the composition of near-surface atmospheric aerosol in Irkutsk during the warm season, while fly ash and soot particles predominate during the cold season. Brochosomes (fullerene-like structures of biological carbon-containing particles) were detected for the first time in the surface aerosol at the urban Irkutsk station. The results of this study expand our understanding of the morphological properties and composition of individual particles in surface atmospheric aerosol in the urbanized area of the Southern Baikal region.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 2","pages":"161 - 168"},"PeriodicalIF":0.9,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnification of Reconstructed Images Based on Geometric-Optical Model of Digital Holographic Imaging 基于数字全息成像几何光学模型的重构图像放大研究

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701039

V. V. Dyomin, A. Yu. Davydova, N. S. Kirillov, I. G. Polovtsev

引用次数: 0

CALIOP Data for Estimating the Multilayer Cloud Base Height from MODIS Imagery Based on Fuzzy Logic Methods 基于模糊逻辑方法的MODIS影像多层云底高度估算的CALIOP数据

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701179

A. V. Skorokhodov

{"title":"CALIOP Data for Estimating the Multilayer Cloud Base Height from MODIS Imagery Based on Fuzzy Logic Methods","authors":"A. V. Skorokhodov","doi":"10.1134/S1024856025701179","DOIUrl":"10.1134/S1024856025701179","url":null,"abstract":"An algorithm for estimating the base height of individual levels in multilayer clouds from passive satellite sensor data based on fuzzy logic methods is presented. The procedure for retrieving the cloud-base height is considered as a special case of solving the classification problem. The classes are narrow ranges of the target parameter; the classification features are cloud parameters retrieved from passive satellite sounding. Methods of fuzzy logic allow one to include one object in several classes at once but with different grades of membership, which enables estimating the base height for several simultaneously observed levels of clouds. The classifier is trained based on synchronous CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) and MODIS (Moderate Resolution Imaging Spectroradiometer) data received over Western Siberia in summer in 2013–2018. The cloud base height is estimated only from passive satellite sensor data. Two fuzzy self-organizing methods (Fuzzy C-means and Gustafson–Kessel) are considered. The second approach has been found to be more effective; it provides a deviation of −0.5 km for the retrieved base heights of clouds with an optical thickness less than 10 as compared to reference ones at a standard deviation of 1.5 km for the overlying cloud layer and −0.1 km at a standard deviation of 2.1 km for the underlying layer.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 2","pages":"205 - 213"},"PeriodicalIF":0.9,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infrared-to-Visible Conversion in Mn Vapor Active Media Mn蒸汽活性介质中红外到可见光的转换

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701210

A. E. Kulagin, M. V. Trigub

引用次数: 0

Dielectric Mirror with High Reflectance at 266 nm for Ozone Lidars 用于臭氧激光雷达的266nm高反射率介质镜

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701209

V. S. Kuznetsov, M. M. Zinovev, N. N. Yudin, O. A. Romanovskii, A. A. Nevzorov, S. V. Yakovlev, S. A. Sadovnikov, A. L. Khudoley, D. V. Vlasov

引用次数: 0

Composition and Morphology of Near-surface Atmospheric Aerosol Particles in Urbanized Area of Southern Baikal Region 南贝加尔湖地区城市化地区近地表大气气溶胶粒子组成与形态

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701118

N. S. Chebunina, L. P. Golobokova, V. I. Egorov, T. V. Khodzher

{"title":"Composition and Morphology of Near-surface Atmospheric Aerosol Particles in Urbanized Area of Southern Baikal Region","authors":"N. S. Chebunina, L. P. Golobokova, V. I. Egorov, T. V. Khodzher","doi":"10.1134/S1024856025701118","DOIUrl":"10.1134/S1024856025701118","url":null,"abstract":"The problem of aerosol pollution of the atmosphere and associated climate change has become increasingly relevant. Of particular interest are physicochemical properties and structure of atmospheric aerosols. Being an important component of polluted air, aerosols affect various atmospheric processes, the environment, and human health. Analysis of the morphology and composition of aerosol particles enables us to identify the features of their behavior in the atmosphere and determine their origin. This paper studies the composition and morphology of near-surface atmospheric aerosol particles at a year-round monitoring station (Irkutsk) in different seasons of 2024 using scanning electron microscopy and X-ray spectral analysis. The main types of aerosol particles (soot, fly ash, mineral, and biogenic particles) are identified, and their shapes and sizes are determined. It has been established that mineral and biogenic particles predominate in the composition of near-surface atmospheric aerosol in Irkutsk during the warm season, while fly ash and soot particles predominate during the cold season. Brochosomes (fullerene-like structures of biological carbon-containing particles) were detected for the first time in the surface aerosol at the urban Irkutsk station. The results of this study expand our understanding of the morphological properties and composition of individual particles in surface atmospheric aerosol in the urbanized area of the Southern Baikal region.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 2","pages":"161 - 168"},"PeriodicalIF":0.9,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antireflection Properties of Nanostructured Silicon Dioxide Coatings for Solar Cells 太阳能电池用纳米二氧化硅涂层的抗反射性能

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S102485602570109X

Yu. E. Geints, E. K. Panina

引用次数: 0

Influence of the Neglect of Non-Lambertian Earth Surface Reflectance on the Error in Its Retrieval from Satellite Data 忽略非朗伯地表反射率对卫星反演误差的影响

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701155

M. V. Tarasenkov, V. V. Belov, A. V. Shesterikova

{"title":"Influence of the Neglect of Non-Lambertian Earth Surface Reflectance on the Error in Its Retrieval from Satellite Data","authors":"M. V. Tarasenkov, V. V. Belov, A. V. Shesterikova","doi":"10.1134/S1024856025701155","DOIUrl":"10.1134/S1024856025701155","url":null,"abstract":"Acquisition of high-quality satellite information is important for solving a wide range of problems in monitoring the Earth surface, such as estimation of forest health, agricultural productivity, and others. To perform accurate atmospheric correction (elimination of the distorting influence of the atmosphere) of satellite images of the Earth surface, it is crucial to consider various factors that influence received signals, including non-Lambertian surface reflectance (the difference between surface reflection and Lambert’s law according to which radiation is equally reflected in all directions and depends only on the irradiance of the surface and the reflectance). In some algorithms, non-Lambertian reflection is taken into account after solving a problem in the Lambertian reflection approximation. In this case, the assumption is used that the adjacency effect (i.e., the effect of received radiation reflected from surface areas adjacent to the observed one and scattered in the atmosphere) is formed only by Lambertian surfaces. Our calculations show that at meteorological range of visibility SM ≤ 6 km, neglect of contribution of non-Lambertian reflection produces an error in the reflectance of no higher than 20.3%; neglect of non-Lambertian reflection into the adjacency effect and additional illumination results in an error of no more than 12%; and neglect of non-Lambertian reflection in additional illumination, of no more than 1.4%. For a more transparent atmosphere (SM ≥ 6 km), the maximal errors for similar models do not exceed 92, 14, and 1.2%, respectively. For the solar zenith angles θsun ≤ 60° and the angles of the optical axis of a receiving system θd ≤ 60°, the errors do not exceed 30, 7.5, and 1%, respectively. The results prove the possibility of considering non-Lambertian reflection after taking into account the adjacency effect and additional illumination of the Earth surface in the Lambertian reflection approximation.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 2","pages":"192 - 201"},"PeriodicalIF":0.9,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimates of Transboundary Transfer and Balance of Atmospheric Carbon Dioxide Fluxes in Sverdlovsk Region Using the Machine Learning Model 利用机器学习模型估算斯维尔德洛夫斯克地区大气二氧化碳通量的跨界转移和平衡

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701180

A. P. Rozanov, K. G. Gribanov, I. V. Zadvornykh, G. A. Sukhikh, V. V. Valdaiskikh, V. I. Zakharov

{"title":"Estimates of Transboundary Transfer and Balance of Atmospheric Carbon Dioxide Fluxes in Sverdlovsk Region Using the Machine Learning Model","authors":"A. P. Rozanov, K. G. Gribanov, I. V. Zadvornykh, G. A. Sukhikh, V. V. Valdaiskikh, V. I. Zakharov","doi":"10.1134/S1024856025701180","DOIUrl":"10.1134/S1024856025701180","url":null,"abstract":"In connection with the global warming problem caused by the increase in the concentration of greenhouse gases in the atmosphere, estimating the potential of different ecosystems for the sequestration of atmospheric carbon dioxide on both regional and global scales is a topical problem. In this work, the balance of natural carbon dioxide fluxes throughout Sverdlovsk region is considered. An integral estimate of net CO2 absorbed from the atmosphere by regional ecosystems over 2020–2022 is obtained for the first time using an original NorthFlux machine learning model, where spectra data from the MODIS satellite sensor, meteorological data of retrospective climate analysis, and satellite data on the classification of the underlying surface vegetation are used as input. The data on the amount of anthropogenic CO2 emissions is taken from the inventory of greenhouse gas emissions in Sverdlovsk region. The transboundary transfer of carbon dioxide is estimated using a balance equation for CO2 fluxes in the atmospheric column and data on the average annual rate of increase in the CO2 concentration in the regional atmosphere obtained from ground-based Bruker IFS 125M high-resolution measurements at the Kourovka Astronomical Observatory in 2012–2024. It has been found that the sequestration of atmospheric CO2 by ecosystems of Sverdlovsk region ranges from 10.9 to 15.2% and the transboundary transfer of CO2 through the region boundaries to neighboring regions ranges from 72.5 to 76.7% of the annual industrial CO2 emissions in the region. The NorthFlux machine learning model can be useful for estimating the sequestering potential of ecosystems in other regions of the planet.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 2","pages":"214 - 220"},"PeriodicalIF":0.9,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148060897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Relationship of Tree Ring Gas Content to Humidity over Forest Ecosystems 森林生态系统树木年轮气体含量与湿度的关系

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2026-05-30 DOI: 10.1134/S1024856025701192

B. G. Ageev, V. A. Sapozhnikova, A. N. Gruzdev, D. A. Savchuk

引用次数: 0