K. S. Salnikov, A. V. Konoshonkin, I. V. Tkachev, N. V. Kustova, V. A. Shishko, D. N. Timofeev, N. Kan
{"title":"Verification of Physical Optics Approximation by the Discrete Dipole Method in Calculations of Light Backscattering","authors":"K. S. Salnikov, A. V. Konoshonkin, I. V. Tkachev, N. V. Kustova, V. A. Shishko, D. N. Timofeev, N. Kan","doi":"10.1134/S1024856025701015","DOIUrl":"10.1134/S1024856025701015","url":null,"abstract":"<p>In problems of atmospheric remote sensing, particularly in interpreting lidar signals from cirrus clouds, the accuracy of modeling light scattering by nonspherical randomly oriented ice particles plays a crucial role. Although the physical optics approximation is commonly used due to its computational efficiency, it does not always provide sufficient accuracy, especially when particle sizes are comparable to the wavelength of incident radiation. This introduces systematic errors into scattering matrix databases used for solving inverse problems. This study employs the discrete dipole approximation to verify the validity of the physical optics approximation. The primary focus is on comparing results obtained at wavelengths of 0.532 and 1.064 μm for particles with various shapes and sizes from two to eight wavelengths. It is shown that using the physical optics approximation in this case leads to relative errors of up to 20% in the determination of the linear depolarization ratio, as well as to underestimation of the backscattering intensity by half. The findings enable a more precise estimation of the applicability limits of the physical optics approximation and provide corrections for the existing scattering matrix databases. This, in turn, will improve the accuracy of lidar data interpretation and enhance the quality of microphysical retrievals for cirrus clouds.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 1","pages":"81 - 90"},"PeriodicalIF":0.9,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665716","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}
A. V. Nevzorov, S. I. Dolgii, A. P. Makeev, V. N. Marichev, D. A. Bochkovsky, N. S. Salnikova, O. V. Kharchenko
{"title":"Observation of Polar Stratospheric Clouds in the Stratosphere over Tomsk in February 2025","authors":"A. V. Nevzorov, S. I. Dolgii, A. P. Makeev, V. N. Marichev, D. A. Bochkovsky, N. S. Salnikova, O. V. Kharchenko","doi":"10.1134/S1024856025700940","DOIUrl":"10.1134/S1024856025700940","url":null,"abstract":"<p>Two lidar stations of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, recorded pronounced aerosol layers in the stratosphere over Tomsk on February 5 and 6, 2025. The analysis of lidar and additional meteorological information showed the occurrence of a rather rare phenomenon for middle latitudes, i.e., polar stratospheric clouds, at that time. The constructed back trajectories of air masses at the altitudes of the formation of polar stratospheric clouds over Tomsk showed that abnormally cold air masses were brought from the polar regions of Norway and Greenland. The results can be useful for specialists in atmospheric physics, climatology, and environmental protection.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 1","pages":"49 - 55"},"PeriodicalIF":0.9,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665698","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}
V. A. Gladkikh, A. P. Kamardin, I. V. Nevzorova, S. L. Odintsov
{"title":"Components of the Turbulence Anisotropy Tensor in the Surface Air Layer","authors":"V. A. Gladkikh, A. P. Kamardin, I. V. Nevzorova, S. L. Odintsov","doi":"10.1134/S1024856025700873","DOIUrl":"10.1134/S1024856025700873","url":null,"abstract":"<p>Elements of the anisotropy tensor of wind turbulence in the surface air layer are calculated based on experimental data at different observation points. Their statistics, seasonal and daily variations, and dependence on temperature and wind stratification in the surface air layer are analyzed. It is noted that the annual average values of the elements are highly stable despite the elements are significantly variable over short time intervals. The analysis of the effects of temperature and wind stratification of the surface air layer shows the stratification to have the greatest effect on the diagonal elements of the anisotropy tensor.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 1","pages":"8 - 15"},"PeriodicalIF":0.9,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665718","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}
{"title":"Aircraft LRV-2 Lidar Measurements of Vertical Wind Speed and Turbulence Parameters","authors":"A. M. Sherstobitov, V. A. Banakh, I. N. Smalikho","doi":"10.1134/S1024856025700964","DOIUrl":"10.1134/S1024856025700964","url":null,"abstract":"<p>Wind Doppler lidars have proven themselves as an effective tool for evaluating wind turbulence in aircraft measurements. However, existing sounding technique from aboard an aircraft assume the presence of a complex scanning system. In this work, we test the efficiency of the second version of the lidar created at the Laboratory of Wave Propagation of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, a in evaluating turbulence parameters and wind convective flows during nadir sounding from aboard a flying aircraft. Based on the analysis of experimental data, we retrieved the altitude profiles of vertical wind speed (VW) dispersion and turbulent kinetic energy dissipation rate up to altitudes of 1250–1600 m. During the analysis of sounding data near clouds, we detected VW shear by one lidar signal spectrum with two Doppler peaks. The results of this work can be useful in creating new techniques for estimated turbulence and wind shear.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"39 1","pages":"65 - 72"},"PeriodicalIF":0.9,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665715","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}
{"title":"Critical Evaluation of Measured Transition Frequencies of 16OD Molecule in X2Π State Using the Ritz Principle","authors":"O. N. Sulakshina, Yu. G. Borkov","doi":"10.1134/S1024856025700861","DOIUrl":"10.1134/S1024856025700861","url":null,"abstract":"<p>Determining the spectrum structure, i.e., finding the empirical energy levels of a molecule, is a relevant and important task of spectroscopy. For deuterated hydroxyl (OD), such information is absent in known spectroscopic databases. Therefore, empirical energy levels of <sup>16</sup>OD were determined in this work. For the first time, the critical analysis of 3138 available experimental frequencies of rotational and vibrational-rotational transitions of <sup>16</sup>OD molecule in <i>X</i><sup>2</sup>П ground electronic state was performed using the Ritz combination principle. Transitions with hyperfine splitting were not considered. The transition frequencies weighted in accordance with the experimental uncertanties were processed by the RITZ program code. The analysis of the dimensionless weighted deviations enabled us to exclude from the consideration the frequencies with the weighted deviation higher than four. The resulting set of 2984 transition frequencies made possible processing with a standard deviation of 1.24. As a result of critical evaluation, a set of 864 empirical RITZ energy levels was obtained with an appropriate uncertainty for each level for the first time. The found empirical RITZ energy levels were compared with known literature data.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"785 - 801"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147559570","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}
D. A. Pestunov, M. V. Panchenko, V. M. Domysheva, M. V. Sakirko, A. M. Shamrin, V. P. Shmargunov, V. G. Ivanov
{"title":"Spatial Distribution of Carbon Dioxide Concentration in Baikal Surface Water in Spring","authors":"D. A. Pestunov, M. V. Panchenko, V. M. Domysheva, M. V. Sakirko, A. M. Shamrin, V. P. Shmargunov, V. G. Ivanov","doi":"10.1134/S1024856025700988","DOIUrl":"10.1134/S1024856025700988","url":null,"abstract":"<p>Correct assessments of greenhouse gas fluxes and the global carbon cycle require well-provided data on greenhouse gas sources and sinks in the surface–air system at different natural sites. This work summarizes the results of shipboard measurements of carbon dioxide concentration in surface water throughout the water area of Lake Baikal in eight spring campaigns of Limnological Institute, Siberian Branch, Russian Academy of Sciences. Spring period is of particular interest for research, since due to the large geographical extent of the lake from south to north, after the ice breakup, the water gradually warms up. This makes it possible to take measurements in relatively different “seasons” during a time-limited expedition. Against the background of interannual variability of the spatial distribution of CO<sub>2</sub> concentration in the Baikal surface water in spring, its decrease from the Southern to the Northern basins of the lake is pronounced. While moving away from the coastal zone to the central part of the water area (to depths of more than 200 m), the concentration of dissolved carbon dioxide increases. The results of the study are of interest to specialists in climate issues and biologists, since carbon dioxide is one of the integral components of the carbon cycle during photosynthesis of aquatic plankton in the Baikal water.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"821 - 829"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560167","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}
N. A. Lavrentiev, A. Yu. Akhlestin, A. I. Privezentsev, A. Z. Fazliev
{"title":"Quality of Collections of Experimental Vibration-Rotational Energy Levels and Transitions of H2O Molecule. 1. Quasi-Empirical Energy Levels","authors":"N. A. Lavrentiev, A. Yu. Akhlestin, A. I. Privezentsev, A. Z. Fazliev","doi":"10.1134/S1024856025700587","DOIUrl":"10.1134/S1024856025700587","url":null,"abstract":"<p>The article analyzes the quality of collections of experimental vibrational-rotational energy levels and transitions of the main water isotopologue in the information system (IS) W@DIS. Software for automatic support of the quality of the collection of energy levels and transitions during loading new data sources is developed. This software performs sequential double filtering using the latest version of empirical energy levels and quasi-empirical energy levels. The introduced quasi-empirical energy levels and their role in updating the data quality are briefly described. Statistical data on each of the collections are presented; subsets of collections suitable for decomposition of expert wavenumbers and lower-level energies are distinguished.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"679 - 687"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560059","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}
A. V. Chentsov, T. Yu. Chesnokova, G. A. Kolotkov, Yu. V. Voronina, B. A. Voronin
{"title":"Detectability of Tritium Isotopologues HTO and T2O in Radioactive Water Vapors by IR Spectroscopy","authors":"A. V. Chentsov, T. Yu. Chesnokova, G. A. Kolotkov, Yu. V. Voronina, B. A. Voronin","doi":"10.1134/S1024856025700599","DOIUrl":"10.1134/S1024856025700599","url":null,"abstract":"<p>Large amount of tritium, which is a radioactive isotope of hydrogen and is hazardous to all living things, enter the environment from anthropogenic sources, including accidents at nuclear power plants. Monitoring of tritium in water and air is very important for assessing environmental and radiation risks. Our study is devoted to the development of an infrared (IR) spectroscopy-based trace method for monitoring tritium isotopologues of water (HTO and T<sub>2</sub>O). The main objective is to estimate the sensitivity of IR spectroscopy for detecting low concentrations of HTO and T<sub>2</sub>O in water vapors, which is critical for the operational monitoring of radioactive contamination. The transmission of the tritium isotopologues is simulated by line-by-line method at different concentrations. The spectroscopic data from theoretical calculations and experimental measurements, including absorption line parameters from spectra.iao.ru and HITRAN2020 databases, are used in the simulation. The line broadening coefficients were refined with the use of the authors’ technique. The main results of this work include: improved line broadening parameters, which provide an increase in the simulation accuracy; revealed optimal spectral regions for detecting HTO (1227–1236 and 2219–2226 cm<sup>−1</sup>) and T<sub>2</sub>O (930–990 and 1092–1100 cm<sup>−1</sup>) in the atmospheric transparency window 8–12 μm; estimated detection threshold for tritium isotopologues at a level of 0.01–0.05% of the concentration of the main isotopologue H<sub>2</sub><sup>16</sup>O. The results open up opportunities for creating real-time tritium monitoring systems. Promising areas for further research are adaptation of the method to field conditions with allowance for the atmospheric effect and integration of spectroscopic data into climate models. The work contributes to the development of environmental monitoring and radiation safety methods.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"688 - 695"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560061","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}
{"title":"An Algorithm for Identifying Pollution Sources with Non-Linear Measurement Operators","authors":"A. V. Penenko, E. V. Rusin, M. K. Emelyanov","doi":"10.1134/S1024856025701003","DOIUrl":"10.1134/S1024856025701003","url":null,"abstract":"<p>The problem of atmospheric emission source identification from remote sensing data is considered. An algorithm for the problem solution based on a three-dimensional model of atmospheric pollutant transport and a nonlinear measurement model represented as a “differentiable black box” is suggested. The algorithm includes sensitivity operators and ensembles of solutions of adjoint equations. It was tested for a realistic scenario for identifying soot sources for the Baikal region with synthetic satellite Terra/MODIS measurements and showed its efficiency. Additionally, the measurement data decomposition modification of the algorithm is suggested, which reduces the relative error of retrieving the source function by 12% compared to the version without decomposition. The results can be used in the development of remote sensing data processing systems.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"838 - 846"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560164","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}
S. L. Odintsov, V. A. Gladkikh, A. P. Kamardin, I. V. Nevzorova
{"title":"Correlation between the Structure Characteristic of the Refractive Index of Optical Waves in the Surface Air Layer and Meteorological Parameters","authors":"S. L. Odintsov, V. A. Gladkikh, A. P. Kamardin, I. V. Nevzorova","doi":"10.1134/S1024856025700605","DOIUrl":"10.1134/S1024856025700605","url":null,"abstract":"<p>When studying the propagation of optical radiation through the atmosphere, it is important to take into account its possible distortions due to turbulence of temperature and wind fields. The dependence of the structure characteristic of the refractive index of optical waves in the surface air layer on gradients of temperature and wind velocity, as well as on turbulent heat fluxes and friction (dynamic) velocity is considered based on experimental data obtained in 2024 at the Basic Experimental Complex of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences (Tomsk, Russia), with an ultrasonic anemometer-thermometer (ultrasonic weather station) and a meteorological temperature profiler. Some regularities are identified in the correlation between the structure characteristic and the meteorological parameters. It is noted that high values of the structure characteristic can take place under conditions of temperature inversions. The results can be useful in solving problems of atmospheric optics, in particular, propagation of laser radiation.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"38 6","pages":"696 - 702"},"PeriodicalIF":0.9,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560062","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}