Atmospheric and Oceanic Optics最新文献_第7页

The Nature of Hygroscopicity of Aerosol Haze Particles over Beijing 北京地区雾霾颗粒的吸湿性

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-05-31 DOI: 10.1134/S1024856024701744

G. B. Pronchev, A. N. Yermakov

引用次数: 0

Vertical Distribution of Ozone in the Upper Troposphere–Stratosphere according to lidar Sounding Data at the Siberian Lidar Station in 2023 基于2023年西伯利亚激光雷达站激光雷达探测数据的对流层上层-平流层臭氧垂直分布

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-05-31 DOI: 10.1134/S1024856024701689

S. I. Dolgii, A. P. Makeev, A. V. Nevzorov, A. A. Nevzorov, N. S. Salnikova, O. V. Kharchenko

引用次数: 0

Air Temperature Variance under Conditions of Temperature Inversion 逆温条件下的气温变化

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-05-31 DOI: 10.1134/S1024856024701690

V. A. Gladkikh, A. P. Kamardin, I. V. Nevzorova, S. L. Odintsov

引用次数: 0

Erratum to: An Exact Analytical Calculation of the Wavefront Structure Function for the Case of Kolmogorov Atmospheric Turbulence 对柯尔莫哥洛夫大气湍流波前结构函数的精确解析计算的勘误

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-05-21 DOI: 10.1134/S1024856025010014

A. V. Shepelev, D. A. Yagnyatinskiy, V. N. Fedoseyev

引用次数: 0

Applicability of a Neural Network Approach to Retrieving the Optical Thickness and Effective Radius of Droplets in Single-Layer Horizontally Inhomogeneous Cloudiness 一种神经网络方法在反演单层水平非均匀云中水滴光学厚度和有效半径中的适用性

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701240

T. V. Russkova, A. V. Skorokhodov

{"title":"Applicability of a Neural Network Approach to Retrieving the Optical Thickness and Effective Radius of Droplets in Single-Layer Horizontally Inhomogeneous Cloudiness","authors":"T. V. Russkova, A. V. Skorokhodov","doi":"10.1134/S1024856024701240","DOIUrl":"10.1134/S1024856024701240","url":null,"abstract":"Liquid-drop clouds play a significant role in the evolution of cloud systems and the formation of the Earth’s radiation balance. Determination of their optical and microphysical characteristics is one of the most important problems of optics and atmospheric physics. The paper is devoted to assessing the applicability of an artificial neural network to processing synthetic data of passive satellite measurements of reflected solar radiation of low and medium spatial resolution in the visible and short-wave infrared spectral regions in order to simultaneously retrieve the optical thickness and effective radius of droplets of horizontally inhomogeneous cloudiness. The network is trained using the Monte Carlo calculated values of radiance in marine stratocumulus clouds generated by a fractal model. Through a nonlinear approximation of the dependence of optical and microphysical parameters of clouds on radiation characteristics, the tested algorithm allows taking into account the effects of horizontal radiative transfer, unlike classical IPA/NIPA (Independent Pixel Approximation/Nonlocal Independent Pixel Approximation) schemes. It is shown that the errors in solving the inverse problem can be reduced by assimilating data in adjacent pixels, reducing spatial resolution, and using radiance data received at small solar zenith angles. The high correlation between the test and retrieved optical thickness and effective radius indicate the possibility of using a neural network approach to interpreting satellite measurement data.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 1","pages":"18 - 26"},"PeriodicalIF":0.9,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888554","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

Remote Spectrometric Measurements of Atmospheric Nitrogen Dioxide near Urban Thermal Power Plants 城市火力发电厂附近大气二氧化氮的遥感光谱测量

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701288

D. V. Ionov, M. V. Makarova

{"title":"Remote Spectrometric Measurements of Atmospheric Nitrogen Dioxide near Urban Thermal Power Plants","authors":"D. V. Ionov, M. V. Makarova","doi":"10.1134/S1024856024701288","DOIUrl":"10.1134/S1024856024701288","url":null,"abstract":"The operation of thermal power plants (TPP) is accompanied by the emission of various pollutants into the atmosphere, including nitrogen oxides. This paper presents the results of spectrometric measurements of the atmospheric NO2 content carried out on circular routes around large urban TPPs of St. Petersburg. The spatial variability of tropospheric NO2 content in the vicinity of a TPP is determined based on experimental data received by the DOAS (Differential Optical Absorption Spectroscopy) method and shows high values in the downwind side of stacks. The spatial distributions derived from the mobile DOAS measurements are confirmed by the results of numerical calculations of the NO2 content field with the HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectories) model taking into account a priori information on the volume of NOx emissions from main urban TPPs. Approximate estimates of NOx emissions from two the largest TPPs in St. Petersburg from calculations of the total flux of NO2 molecules through a loop-route DOAS measurements amount to ∼2–3 kt per year. These experimental data are important for determining the contribution of thermal power plants to anthropogenic atmospheric pollution.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 1","pages":"51 - 58"},"PeriodicalIF":0.9,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888600","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

Complex Assessment of Air Composition over the Russian Arctic in September 2020 2020年9月俄罗斯北极上空空气成分的复杂评估

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701264

P. N. Antokhin, V. G. Arshinova, M. Yu. Arshinov, B. D. Belan, S. B. Belan, D. K. Davydov, G. A. Ivlev, A. V. Kozlov, T. M. Rasskazchikova, D. E. Savkin, D. V. Simonenkov, T. K. Sklyadneva, G. N. Tolmachev, A. V. Fofonov

{"title":"Complex Assessment of Air Composition over the Russian Arctic in September 2020","authors":"P. N. Antokhin, V. G. Arshinova, M. Yu. Arshinov, B. D. Belan, S. B. Belan, D. K. Davydov, G. A. Ivlev, A. V. Kozlov, T. M. Rasskazchikova, D. E. Savkin, D. V. Simonenkov, T. K. Sklyadneva, G. N. Tolmachev, A. V. Fofonov","doi":"10.1134/S1024856024701264","DOIUrl":"10.1134/S1024856024701264","url":null,"abstract":"Сlimate warming in the Arctic is several times faster than in other regions of the globe. This сan be the result of strengthening of feedbacks between climate and atmospheric composition. However, there are very few data on changes in the concentration of climatically active substances in this region. Therefore, to fill the gap in data on the vertical distribution of gas and aerosol composition of air over the Russian Arctic, an airborne survey of the atmosphere and water surface over all the Russian Arctic Ocean seas was performed with use of the Tu-134 Optik aircraft laboratory in September 2020. This paper analyzes the spatial distribution of gas and aerosol composition in the Arctic troposphere. It is shown that during the experiment, the CO2 mixing ratio increased in the near-water and boundary layers and decreased in the free troposphere from west to east. The methane content in the near-water layer decreased in the same direction. Concentrations of CO, NOX, and SO2 in the Russian Arctic were very low, which was typical for remote background areas. All aerosol fractions also showed a decrease in their content from west to east.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 1","pages":"37 - 45"},"PeriodicalIF":0.9,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888555","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

Experimental Verification of the Model Dependence of the Turbulent Prandtl Number on the Gradient Richardson Number 湍流普朗特数对梯度理查德森数模型依赖性的实验验证

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701239

V. A. Banakh, I. N. Smalikho, I. V. Zaloznaya

{"title":"Experimental Verification of the Model Dependence of the Turbulent Prandtl Number on the Gradient Richardson Number","authors":"V. A. Banakh, I. N. Smalikho, I. V. Zaloznaya","doi":"10.1134/S1024856024701239","DOIUrl":"10.1134/S1024856024701239","url":null,"abstract":"A formula has been derived which connects the structural constant of temperature fluctuations with the dissipation rate of kinetic energy of turbulence not through the turbulent thermal diffusivity but through the vertical gradients of average wind velocity and air temperature and the turbulent Prandtl number. To estimate the structural constant of temperature using this formula, a model based on generalization of known data on the turbulent Prandtl number as a function of the gradient Richardson number is proposed. It has been experimentally shown that the time series of the structural constant of temperature, which is calculated using the proposed formula and independently found from the spectra of temperature fluctuations based on measurements of wind velocity and air temperature with sonic anemometers at two altitudes, are consistent with each other. This confirms correctness of the theoretical constructions the generalized results of which serve as the basis for the model dependence of the turbulent Prandtl number on the gradient Richardson number and opens possibilities of remote determination of the structural constant of temperature from measurements of wind velocity and temperature.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 1","pages":"12 - 17"},"PeriodicalIF":0.9,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888598","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

Simulation of Severe Weather Events in Western Siberia Using WRF Atmospheric Model 用WRF大气模式模拟西伯利亚西部的恶劣天气事件

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701331

S. Yu. Zolotov, A. S. Loginov

引用次数: 0

Simulation of Greenhouse Gas Content in the Atmosphere of Oil- and Gas-Producing Areas 油气产区大气中温室气体含量的模拟

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2025-04-29 DOI: 10.1134/S1024856024701355

M. N. Alekseeva, D. V. Fedorov, I. G. Yashchenko, I. V. Russkikh

引用次数: 0