Труды сотрудников ИВМ СО РАН

/ P. E. Cubillos [et al.] // Astrophys. J. - 2017. - Vol. 849, Is. 2, DOI 10.3847/1538-4357/aa9019 . - ISSN 0004-637X
Аннотация: The strong, nearly wavelength-independent absorption cross section of aerosols produces featureless exoplanet transmission spectra, limiting our ability to characterize their atmospheres. Here, we show that even in the presence of featureless spectra, we can still characterize certain atmospheric properties. Specifically, we constrain the upper and lower pressure boundaries of aerosol layers, and present plausible composition candidates. We study the case of the bloated Saturn-mass planet WASP-49 b, where near-infrared observations reveal a flat transmission spectrum between 0.7 and 1.0 ?m. First, we use a hydrodynamic upper-atmosphere code to estimate the pressure reached by the ionizing stellar high-energy photons at 10-8 bar, setting the upper pressure boundary where aerosols could exist. Then, we combine HELIOS and Pyrat Bay radiative-transfer models to constrain the temperature and photospheric pressure of atmospheric aerosols, in a Bayesian framework. For WASP-49 b, we constrain the transmission photosphere (hence, the aerosol deck boundaries) to pressures above 10-5 bar (100?solar metallicity), 10-4 bar (solar), and 10-3 bar (0.1?solar) as the lower boundary, and below 10-7 bar as the upper boundary. Lastly, we compare condensation curves of aerosol compounds with the planet's pressure-temperature profile to identify plausible condensates responsible for the absorption. Under these circumstances, we find these candidates: Na2S (at 100? solar metallicity); Cr and MnS (at solar and 0.1?solar); and forsterite, enstatite, and alabandite (at 0.1?solar). © 2017. The American Astronomical Society. All rights reserved.

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Держатели документа:
Space Research Institute, Austrian Academy of Sciences, Schmiedlstrasse 6, Graz, Austria
Federal Research Center Krasnoyarsk Science Center SB RAS, Institute of Computational Modelling, Krasnoyarsk, Russian Federation
Center for Space and Habitability, University of Bern, Sidlerstrasse 5, Bern, Switzerland
Institut fur Geophysik und Meteorologie, Universitat zu Koln, Albertus-Magnus-Platz, Koln, Germany
Max Planck Institute for Astronomy, Konigstuhl 17, Heidelberg, Germany
Department of Astrophysics, University of Vienna, Turkenschanzstrasse 17, Vienna, Austria
Geneva Observatory, University of Geneva, ch. de Maillettes 51, Versoix, Switzerland

Доп.точки доступа:
Cubillos, P. E.; Fossati, L.; Erkaev, N. V.; Malik, M.; Tokano, T.; Lendl, M.; Johnstone, C. P.; Lammer, H.; Wyttenbach, A.

/ O. E. Yakubaylik, A. A. Kadochnikov, A. V. Tokarev // CEUR Workshop Proceedings : CEUR-WS, 2017. - Vol. 2033: 2017 All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes, SDM 2017 (29 August 2017 through 31 August 2017, ) Conference code: 132851. - С. 44-48 . -
Аннотация: The functionality, architectural features, the user interface of the geoinformation web-system of environmental monitoring of Krasnoyarsk is discussed. This system is created in service-oriented architecture. Data collection from the automated stations to monitor the state of atmospheric air has been implemented. An original device to measure the level of contamination of the atmosphere by fine dust PM2.5 has developed. Assessment of the level of air pollution is based on the quality index AQI atmosphere.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of Siberian Branch of Russian Academy of Sciences, Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Yakubaylik, O. E.; Kadochnikov, A. A.; Tokarev, A. V.

/ V. V. Zavoruev, E. N. Zavorueva // Proceedings of SPIE - The International Society for Optical Engineering : SPIE, 2017. - Vol. 10466: 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (3 July 2017 through 7 July 2017, ) Conference code: 134942, DOI 10.1117/12.2288754 . -
Аннотация: The periods of unfavorable meteorological conditions (UMC) do not coincide with the periods of contamination of suspended particles PM10. There are cases when during the regime of the UMS is not happening the pollution of the atmosphere by aerosol particles. At UMC the pollution of suspended particles in different parts of the city differs as the concentration of the aerosol and the duration of the negative impact on people's health. © 2017 SPIE.

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Держатели документа:
Institute of Computational Modeling, SB, RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, Russian Federation

Доп.точки доступа:
Zavoruev, V. V.; Zavorueva, E. N.

[Текст] : доклад, тезисы доклада / П. В. Белолипецкий [и др.] // CITES 2017 : международная молодежная школа и конференция по вычислительно-информационным технологиям для наук об окружающей среде. - Томск : Томский центр научно-технической информации, 2017. - С. 86-90 . - ISBN 978-5-89702-389-9
   Перевод заглавия: A staircase signal in the warming of the mid-20th century
Аннотация: Regime-shift like structures in decadal climate change have been detected in many studies of temperature and related climatic variables by (Yasunaka and Hanawa 2002; Chavez et al. 2003; Lo and Hsu 2010; Reid and Beaugrand, 2012; Jones , 2012; Reid et al., 2016; Jones and Ricketts, 2017). Much attention has been given to a pause in warming (hiatus) during 1998-2014 (Tollefson 2014). We recently suggested and applied a simple method to adjust HadCRUT4 surface temperature anomalies for ENSO effects (Belolipetsky et al. 2015; Bartsev et al. 2016; Bartsev et al. 2017). After this adjustment for major ENSO and volcanic effects the hiatus is even more pronounced. Moreover, we observed similar quasi-stable periods during 1950-1987 and 1988-1997 and almost all the warming occurred during the ~1987 and ~1997 shifts. It should be mentioned that a similar shift has likely occurred in 2015-2016, but this issue is outside the scope of this short paper. Here we want to demonstrate the reality of the staircase pattern using different measurements and climate parameters. We analyzed several global datasets: HadCRUT v4.5 - land and sea surface temperature (SST) anomalies; ICOADS v2.5 - SST anomalies measured from ships; NCEP OI v2 - SST measured by satellite instruments; UAH MSU v5.6 and RSS MSUv3.3 - two satellite datasets measuring temperature of the lower troposphere (TLT). The ENSO signal was removed by empirical orthogonal functions (EOF) analysis, and gave similar results for all datasets. A similar staircase behavior was found in global NCEP/NCAR reanalyses of 300mb meridional wind and outgoing longwave radiation (OLR) in northern and southern midlatitudes. These many different sources confirm the reality of the regime-shift staircase structure of recent warming, which is masked by short-term ENSO variability and the effects of volcanic eruptions. The warming amplitude of the analysed datasets has not changed significantly after the adjustment, but the shape changed considerably. Adjusted for ENSO temperature dynamics the considered datasets have a striking staircase form: linear trends for three quasi-stable periods 1950-1987, 1988-1997 and 1998-2014 are near zero and nearly all warming occurred during the two shifts of 1987/1988 and 1997/1998 (Fig. 1a, b, c and d). a b с d Fig. 1. Staircase consisting of regimes and shifts in various climate parameters: a) adjusted for ENSO and volcanoes yearly global surface temperature anomalies (HadCRUT4) at 1950-2014 years; b) adjusted for ENSO monthly SST anomalies (ICOADS) at 1950-2016 years and aerosol optical depth (reflecting influence of major volcanic eruptions); c) The same as ‘b' for satellite based SST measurements (NCEP OI v2) at 1983-2016 years; d) The same as 'b' for databases of satellite measurements of lower troposphere temperature (UAH MSU v6.0 and RSS MSU v3.3) at 1980-2016 years.

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Держатели документа:
Федеральный исследовательский центр "Красноярский научный центр Сибирского отделения Российской академии наук

Доп.точки доступа:
Белолипецкий, П.В.; Belolipetsky P.V.; Барцев, С.И.; Bartsev S.I.; Салтыков, М.Ю.; Saltykov M.Y.; Дегерменджи, А.Г.; Degermendzhi A.G.; Белолипецкий, В.М.; Belolipetsky V.M.; Иванова, Ю.Д.; Ivanova Y.D.; Почекутов, А.А.; Pochekutov A.A.; CITES 2017(2017 ; 28.08 - 07.09 ; Таруса - Звенигород)
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/ O. E. Yakubailik, A. A. Kadochnikov, A. V. Tokarev // Optoelectron. Instrum. Data Proc. - 2018. - Vol. 54, Is. 3. - P243-249, DOI 10.3103/S8756699018030056. - Cited References:12 . - ISSN 8756-6990. - ISSN 1934-7944РУБ Physics, Multidisciplinary

Аннотация: This paper touches upon the experience of research and development of hardware and software for air pollution monitoring of industrial cities, carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences. Functional possibilities, architectural features, and user interface of the distributed web geographic information system of ecological monitoring of the city of Krasnoyarsk, which is being developed in service-oriented architecture, are discussed. Data are collected from automated posts for observing the state of atmospheric air and services of aggregation and representation of information in the form of interactive graphs and thematic maps in the web interface. An original device is developed for measuring the pollution level of the atmosphere with fine dust (PM2.5), the data from which is fed in real time to the system via a cellular network. A system is formed for integral assessment of the pollution level of the atmosphere based on Air Quality Index (AQI) calculations.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Akademgorodok 50,Bldg 44, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Pr Svobodnyi 79, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Yakubailik, O. E.; Kadochnikov, A. A.; Tokarev, A. V.; Yakubailik, Oleg

: статья / Олег Эдуардович Якубайлик, Алексей Анатольевич Кадочников, Алексей Владимирович Токарев // Автометрия. - 2018. - Т. 54, № 3. - С. 39-46, DOI 10.15372/AUT20180305 . - ISSN 0320-7102
   Перевод заглавия: Geoinformational web system and instrumental measurement of operational estimation of atmospheric pollution

УДК

519.6 + 004.4

504.05

Аннотация: Рассматривается опыт исследований и разработок программных и аппаратных средств для мониторинга загрязнения атмосферы промышленного города, выполненных в Институте вычислительного моделирования СО РАН. Обсуждаются функциональные возможности, архитектурные особенности, пользовательский интерфейс распределённой геоинформационной веб-системы экологического мониторинга г. Красноярска, которая создаётся в сервис-ориентированной архитектуре. Реализованы сбор данных с автоматизированных постов наблюдений за состоянием атмосферного воздуха, сервисы агрегации и представления информации в виде интерактивных графиков и тематических карт в веб-интерфейсе. Разработан оригинальный прибор для измерения уровня загрязнения атмосферы мелкодисперсной пылью (PM2.5), данные с которого в реальном времени поступают в систему через сотовую сеть. Сформирована система интегральной оценки уровня загрязнения атмосферы, основанная на вычислениях индекса качества атмосферы (AQI).
This paper touches upon the experience of research and development of software and hardware for monitoring atmospheric pollution of industrial cities, carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences. Functional possibilities, architectural features, and user interface of the distributed geoinformation web-system of ecological monitoring of the city of Krasnoyarsk, which is being developed in service-oriented architecture, are discussed. Data are collected from automated posts for observing the state of atmospheric air and services of aggregation and representation of information in the form of interactive graphs and thematic maps in the web interface. An original device is developed for measuring the pollution level of the atmosphere with fine dust (PM2.5), the data from which is fed in real time to the system via a cellular network. A system is formed for integral assessment of the pollution level of the atmosphere based on Atmospheric Quality Index (AQI) calculations.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский федеральный университет

Доп.точки доступа:
Якубайлик, Олег Эдуардович; Yakubailik O.E.; Кадочников, Алексей Анатольевич; Kadochnikov A.A.; Токарев, Алексей Владимирович; Tokarev A.V.

/ K. V. Krasnoshchekov, O. E. Yakubailik // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2019. - Vol. 537: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019 (4 April 2019 through 6 April 2019, ) Conference code: 149243, Is. 6, DOI 10.1088/1757-899X/537/6/062083 . -
Аннотация: Spectrometer MODIS, installed on TERRA and AQUA satellites, provides daily global coverage of the Earth. Based on its measurements, data on aerosol optical depth (AOD) with different spatial resolution are formed: 10, 3, 1 km. The classical algorithm with a coarse spatial resolution of 10 km is not suitable for studying the variability of aerosols at the city scale. Introduced in 2018, a new algorithm for multi-angle implementation of atmospheric correction (MAIAC) provides AOD data with spatial resolution of 1 km. This information can already be used to analyze the spatial distribution of aerosols in the city. The relationship between MAIAC AOD and PM2.5 concentrations of particulate matter was investigated, which is measured at automated posts of city environmental services. Our analysis showed that the data with a spatial resolution of 1 km allow us to see the areas of dust pollution inside the city. This information, together with measurements at the posts, can be used as an objective assessment of the environmental situation. © 2019 IOP Publishing Ltd. All rights reserved.

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Держатели документа:
Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling, SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Krasnoshchekov, K. V.; Yakubailik, O. E.

/ K. V. Krasnoshchekov, O. E. Yakubailik // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P288-292 . -
Аннотация: Based on its measurements of the MODIS spectrometer installed on the TERRA and AQUA satellites, data on aerosol optical depth (AOD) with different spatial resolution are formed: 10, 3, 1 km. The relationship between AOT values measured using remote sensing and PM2.5 measured at automated observation posts (APS) was investigated. It is shown that the data with a spatial resolution of 1 km make it possible to see dusty zones inside the city. Aerosol Index was used to take into account the contribution of external factors, such as smoke from fires, to the ecological situation of the city. This information can be used as an objective assessment of the environmental situation. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Krasnoshchekov, K. V.; Yakubailik, O. E.