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Atmospheric and Ocean Optics: Atmospheric Physics III

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A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (10 December 2021) | Viewed by 26880

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Dr. Gennadii Matvienko

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Guest Editor

V.E. Zuev Institute of Atmospheric Optics SB RAS, 634055 Tomsk, Russia
Interests: laser sensing; wind lidar; aerosol physcs
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Dr. Oleg Romanovskii

E-Mail Website
Guest Editor

V.E. Zuev Institute of Atmospheric Optics SB RAS, 634055 Tomsk, Russia
Interests: lidar sounding; atmosphere; gas analysis; ozone; remote spectroscopy
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Special Issue Information

Dear Colleagues,

This Special Issue aims to collect current novel papers, presented at the 26th International Conference “Atmospheric and Ocean Optics. Atmospheric Physics” (AOO—2021) 5-9 July 2021, Moscow, https://symp.iao.ru/en/aoo/27/i1. We invite researchers to contribute original research papers, dealing with all aspects of atmospheric and ocean optics and atmospheric physics. Topics of interest include but are not limited to:

Molecular spectroscopy of atmospheric gases;
Absorption of radiation in atmosphere and ocean;
Radiative regime and climate problems;
Models and databases for the problems of atmospheric optics and physics;
Optical radiation propagation in the atmosphere and ocean;
Wave propagation in random inhomogeneous media;
Nonlinear effects at radiation propagation in the atmosphere and water media;
Laser and acoustic sounding of atmosphere and ocean;
Physics of the troposphere;
Structure and dynamics of the lower and middle atmosphere;
Dynamics of the atmosphere and climate of the Asian region;
Physics of the upper atmosphere;
Climatological studies of the upper atmosphere using GNSS;
The relationship processes in the lithosphere, atmosphere, ionosphere, and magnetosphere.

Dr. Gennadii Matvienko
Dr. Oleg Romanovskii
Guest Editors

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Keywords

molecular spectroscopy
atmospheric radiative processes
optical radiation propagation
nonlinear effects in atmosphere
laser sounding
physics of the troposphere
climatological studies
physics of the upper atmosphere

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Published Papers (11 papers)

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Editorial

Jump to: Research

4 pages, 188 KiB

Open AccessEditorial

Atmospheric and Ocean Optics: Atmospheric Physics III

by Oleg A. Romanovskii and Olga V. Kharchenko

Atmosphere 2022, 13(11), 1912; https://doi.org/10.3390/atmos13111912 - 17 Nov 2022

Cited by 3 | Viewed by 1326

Abstract

This Special Issue aimed to collect novel papers presented at the 27th International Conference on “Atmospheric and Ocean Optics: Atmospheric Physics” (AOO—21) held from 5 to 9 July 2021 in Moscow, Russia [...] Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

Research

Jump to: Editorial

12 pages, 2693 KiB

Open AccessArticle

Influence of Absorption Cross-Sections on Retrieving the Ozone Vertical Distribution at the Siberian Lidar Station

by Sergey Dolgii, Alexey A. Nevzorov, Alexey V. Nevzorov, Yurii Gridnev, Olga Kharchenko and Oleg A. Romanovskii

Atmosphere 2022, 13(2), 293; https://doi.org/10.3390/atmos13020293 - 9 Feb 2022

Cited by 11 | Viewed by 1745

Abstract

The purpose of this paper is to study how the application of different sets of absorption cross-sections influence the ozone vertical distribution (OVD) in the upper layers of the troposphere—stratosphere in the altitude range ~(5–45) km, using a differential absorption lidar (DIAL), operating at the sensing wavelengths 299/341 nm and 308/353 nm. We analyzed the results of lidar measurements of OVD obtained in 2021 using meteorological data from the IASI/MetOp satellite at the Siberian Lidar Station (SLS). The retrieval was performed using the data of four groups concerning the absorption cross-sections: Gorshelev et al., Malicet et al., SCIAMACHY, and GOME. To estimate how the absorption cross-sections influence the OVD retrieval from lidar measurements, we calculated the average deviations between the profiles retrieved using different sets both in a particular case on 2 January 2021 and throughout 2021. Our study showed that, out of the four absorption cross-section sets, the data of Gorshelev et al. should be used for long-term lidar monitoring of the ozone. These data show a more discrete dependence of the absorption cross-sections on the temperature values, which is more urgent for tropospheric and stratospheric ozone measurements. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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21 pages, 51723 KiB

Open AccessArticle

Model Study of the Effects of Climate Change on the Methane Emissions on the Arctic Shelves

by Valentina Malakhova and Elena Golubeva

Atmosphere 2022, 13(2), 274; https://doi.org/10.3390/atmos13020274 - 6 Feb 2022

Cited by 11 | Viewed by 3206

Abstract

Based on a regional ice-ocean model, we simulated the state of the water masses of the Arctic Ocean to analyze the transport of dissolved methane on the Arctic shelves. From 1970 to 2019, we obtained estimates of methane emissions at the Arctic seas due to the degradation of submarine permafrost and gas release at the ocean–bottom interface. The calculated annual methane flux from the Arctic shelf seas into the atmosphere did not exceed 2 Tg CH₄ year⁻¹. We have shown that the East Siberian shelf seas make the main contribution to the total methane emissions of the region. The spatial variability of the methane fluxes into the atmosphere is primarily due to the peculiarities of the water circulation and ice conditions. Only 7% of the dissolved methane originating from sediment enters the atmosphere within the study area. Most of it appears to be transported below the surface and oxidized by microbial activity. We found that increasing periods and areas of ice-free water and decreasing ice concentration have contributed to a steady increase in methane emissions since the middle of the first decade of the current century. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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11 pages, 64412 KiB

Open AccessArticle

Multi-Year Variations in Atmospheric Water Vapor in the Baikal Natural Territory According to GPS Observations

by Mikhail Dembelov and Yuri Bashkuev

Atmosphere 2022, 13(2), 258; https://doi.org/10.3390/atmos13020258 - 2 Feb 2022

Cited by 2 | Viewed by 1885

Abstract

The data of GPS measurements at the permanent observation points IRKM (Irkutsk, 52°13′ N, 104°19′ E, h = 509 m), ULAZ (Ulan-Ude, 51°48′ N, 107°37′ E, h = 517 m) and BADG (Badary, 51°46′ N, 102°14′ E, h = 848 m) located within the Baikal natural area (Eastern Siberia) are considered. A comparison was made of the time series of the tropospheric moisture content levels obtained at the IRKM site from GPS observations and radiosonde data, and at the BADG site from GPS observations and measurements with a water vapor radiometer (WVR) during 2020. The average deviation of the difference in total moisture content data during 2020 in the form of precipitable water according to GPS and WVR observations was about 0.12 mm, or about 1.1% relative to the average value, and the cross-correlation coefficient between the data is very high (K = 0.92). The use of GPS observations to obtain continuous data on the moisture content of the troposphere is substantiated. A series of processed data on the total moisture content based on GPS measurements using surface meteorological data for the period 1999–2020 for the IRKM and ULAZ sites and for the period 2006–2020 for the BADG site were obtained. Linear trends of total moisture content were determined for observation points: IRKM (−0.35 mm per decade, –2.7%), ULAZ (+0.47 mm per decade, +3.9%) and BADG (+1.41 mm per decade, 13.4%). Moreover, at the IRKM and ULAZ points, the surface temperature trends in the same period were positive and amounted to +0.4 K and +0.7 K per decade, respectively. The article confirms the trends identified in the work of Ross and Elliott for the territory of Eastern Siberia. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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6 pages, 2414 KiB

Open AccessArticle

Development of a System for Detecting Traveling Ionospheric Disturbances Based on GNSS Data

by Alexey Andreyev, Vitaly Kapytin, Saule Mukasheva and Vyacheslav Somsikov

Atmosphere 2022, 13(2), 183; https://doi.org/10.3390/atmos13020183 - 24 Jan 2022

Cited by 2 | Viewed by 2304

Abstract

The large amount of data that are available for ionospheric studies using the GPS TEC method, as well as the need to take into account complex atmospheric dynamics, create certain difficulties in automating the process of searching and recognizing traveling ionospheric disturbances generated by different sources. To automate the process of detecting wave disturbances, numerical criteria for assessing the level of the wave disturbance signal were proposed. The signal-to-noise ratio calculated by the proposed method was used as one of such criteria. This work contains a description of the developed software system that implements the proposed methodology and allows the loading of RINEX files and processing, analyzing, and visualizing total electron content data. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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12 pages, 5600 KiB

Open AccessArticle

Monitoring and Predictive Estimations of Atmospheric Parameters in the Catchment Area of Lake Baikal

by Nikolay V. Abasov, Viacheslav M. Nikitin, Tamara V. Berezhnykh and Evgeny N. Osipchuk

Atmosphere 2022, 13(1), 49; https://doi.org/10.3390/atmos13010049 - 28 Dec 2021

Cited by 2 | Viewed by 1727

Abstract

The paper is concerned with a methodological approach to monitoring the state of atmospheric parameters in the catchment area of Lake Baikal, including real-time analysis of actual distributed data with the determination of analog years according to the preset proximity of comparative indicators and the most probable long-term predictive distributions of surface temperatures, precipitation, pressure, and geopotential with a lead time of up to 9–12 months. We have developed the information-analytical system GeoGIPSAR to conduct the real-time analysis of spatial and point data by various processing methods and obtain long-term prognostic estimates of water inflow into the lake. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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10 pages, 2651 KiB

Open AccessArticle

Spatiotemporal Variations of Aerosol Optical Depth in the Atmosphere over Baikal Region Based on MODIS Data

by Mikhail Taschilin, Irina Yakovleva, Sergey Sakerin, Olga Zorkaltseva, Andrey Tatarnikov and Ekaterina Scheglova

Atmosphere 2021, 12(12), 1706; https://doi.org/10.3390/atmos12121706 - 20 Dec 2021

Cited by 8 | Viewed by 2538

Abstract

This paper considers spatiotemporal distribution and seasonal variability of aerosol optical depth (AOD) of the atmosphere at the 0.55 μm wavelength in the atmosphere over the Baikal region of Russia based on long-term data (2005–2019) from satellite observations (MODIS/AQUA). A comparison of satellite AOD values with the AERONET record at the Geophysical Observatory of Institute of Solar-Terrestrial Physics of Siberian Brunch of Russian Academy of Science was performed. The results show that interannual AOD variability is mainly due to forest fires. The highest atmospheric transparency was in 2010, 2013 and 2016, and the lowest was in 2008, 2012 and 2014. It is noted that AOD decreased with latitude with a gradient ΔAOD = 0.002 ÷ 0.001 per degree of latitude. The mean seasonal variations in AOD at the six satellite overpass points were characterized by spring (April) and summer (July) highs and low AOD values in autumn. From June to November, the drop in AOD monthly means was more than 60%. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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30 pages, 38789 KiB

Open AccessArticle

Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems

by Alexey Penenko, Vladimir Penenko, Elena Tsvetova, Alexander Gochakov, Elza Pyanova and Viktoriia Konopleva

Atmosphere 2021, 12(12), 1697; https://doi.org/10.3390/atmos12121697 - 18 Dec 2021

Cited by 12 | Viewed by 2614

Abstract

Air quality monitoring systems differ in composition and accuracy of observations and their temporal and spatial coverage. A monitoring system’s performance can be assessed by evaluating the accuracy of the emission sources identified by its data. In the considered inverse modeling approach, a source identification problem is transformed to a quasi-linear operator equation with the sensitivity operator. The sensitivity operator is composed of the sensitivity functions evaluated on the adjoint ensemble members. The members correspond to the measurement data element aggregates. Such ensemble construction allows working in a unified way with heterogeneous measurement data in a single-operator equation. The quasi-linear structure of the resulting operator equation allows both solving and predicting solutions of the inverse problem. Numerical experiments for the Baikal region scenario were carried out to compare different types of inverse problem solution accuracy estimates. In the considered scenario, the projection to the orthogonal complement of the sensitivity operator’s kernel allowed predicting the source identification results with the best accuracy compared to the other estimate types. Our contribution is the development and testing of a sensitivity-operator-based set of tools for analyzing heterogeneous air quality monitoring systems. We propose them for assessing and optimizing observational systems and experiments. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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21 pages, 2593 KiB

Open AccessEditor’s ChoiceArticle

Impact of the Atmospheric Photochemical Evolution of the Organic Component of Biomass Burning Aerosol on Its Radiative Forcing Efficiency: A Box Model Analysis

by Tatiana B. Zhuravleva, Ilmir M. Nasrtdinov, Igor B. Konovalov, Nikolai A. Golovushkin and Matthias Beekmann

Atmosphere 2021, 12(12), 1555; https://doi.org/10.3390/atmos12121555 - 24 Nov 2021

Cited by 12 | Viewed by 2120

Abstract

We present the first box model simulation results aimed at identification of possible effects of the atmospheric photochemical evolution of the organic component of biomass burning (BB) aerosol on the aerosol radiative forcing (ARF) and its efficiency (ARFE). The simulations of the dynamics of the optical characteristics of the organic aerosol (OA) were performed using a simple parameterization developed within the volatility basis set framework and adapted to simulate the multiday BB aerosol evolution in idealized isolated smoke plumes from Siberian fires (without dilution). Our results indicate that the aerosol optical depth can be used as a good proxy for studying the effect of the OA evolution on the ARF, but variations in the scattering and absorbing properties of BB aerosol can also affect its radiative effects, as evidenced by variations in the ARFE. Changes in the single scattering albedo (SSA) and asymmetry factor, which occur as a result of the BB OA photochemical evolution, may either reduce or enhance the ARFE as a result of their competing effects, depending on the initial concentration OA, the ratio of black carbon to OA mass concentrations and the aerosol photochemical age in a complex way. Our simulation results also reveal that (1) the ARFE at the top of the atmosphere is not significantly affected by the OA oxidation processes compared to the ARFE at the bottom of the atmosphere, and (2) the dependence of ARFE in the atmospheric column and on the BB aerosol photochemical ages almost mirrors the corresponding dependence of SSA. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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12 pages, 89687 KiB

Open AccessArticle

A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields

by Mikhail V. Tarasenkov, Matvei N. Zonov, Marina V. Engel and Vladimir V. Belov

Atmosphere 2021, 12(11), 1512; https://doi.org/10.3390/atmos12111512 - 16 Nov 2021

Cited by 6 | Viewed by 1938

Abstract

A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect [...] Read more.

Δ r_{s u r f} \leq

0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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24 pages, 5366 KiB

Open AccessArticle

Microservice-Based Approach to Simulating Environmentally Friendly Equipment of Infrastructure Objects Taking into Account Meteorological Data

by Roman Kostromin, Olga Basharina, Alexander Feoktistov and Ivan Sidorov

Atmosphere 2021, 12(9), 1217; https://doi.org/10.3390/atmos12091217 - 17 Sep 2021

Cited by 4 | Viewed by 2733

Abstract

Nowadays, simulation modeling is a relevant and practically significant means in the field for research of infrastructure object functioning. It forms the basis for studying the most important components of such objects represented by their digital twins. Applying meteorological data, in this context, becomes an important issue. In the paper, we propose a new microservice-based approach for organizing simulation modeling in heterogeneous distributed computing environments. Within the proposed approach, all operations related to data preparing, executing models, and analyzing the obtained results are implemented as microservices. The main advantages of the proposed approach are the parameter sweep computing within simulation modeling and possibility of integrating resources of public access supercomputer centers with cloud and fog platforms. Moreover, we provide automated microservice web forms using special model specifications. We develop and apply the service-oriented tools for studying environmentally friendly equipment of the objects at the Baikal natural territory. Among such objects are recreation tourist centers, children’s camps, museums, exhibition centers, etc. As a result, we have evaluated the costs for the possible use of heat pumps in different operational and meteorological conditions for the typical object. The provided comparative analysis has confirmed the aforementioned advantages of the proposed approach. Full article

(This article belongs to the Special Issue Atmospheric and Ocean Optics: Atmospheric Physics III)

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