Dr. Andrey I. Bril Profile

Dr. Andrey I. Bril

SPIE Involvement:

Author

Publications (19)

Proceedings Article | 20 September 2020 Presentation + Paper

Synergy of observations from various satellites for the fast retrieval of atmospheric carbon dioxide amounts

Andrey Bril, Shamil Maksyutov, Yukio Yoshida, Anatoli Chaikovsky, Vladislau Peshcharankou

Proceedings Volume 11531, 115310M (2020) https://doi.org/10.1117/12.2572702

KEYWORDS: Satellites, Earth observing sensors, Earth's atmosphere, Algorithm development, Data processing, Remote sensing, Atmospheric sensing, Carbon dioxide, Carbon, Space operations

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Proceedings Article | 29 January 2019 Paper

Implementation of synergetic observations by terrestrial and space lidar systems and sun-radiometer for study of large scale aerosol changes

Anatoli Chaikovsky, Andrey Bril, Anton Fedarenka, Vladislau Peshcharankou, Sergey Denisov, Fiodor Asipenka, Alexander Slesar, Michail Korol, Vladimir Dick, B. Chen, L. Sverdlik

Proceedings Volume 11047, 110470Z (2019) https://doi.org/10.1117/12.2516356

KEYWORDS: Aerosols, LIDAR, Radiometry, Atmospheric particles, Satellites, Backscatter

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Proceedings Article | 13 December 2018 Paper

Synergy of terrestrial and satellite measurements for study of atmospheric aerosol in the Eurasian Economic Union’s countries

A. Chaikovsky, A. Bril, A. Fedarenka, V. Peshcharankou, S. Denisov, V. Dick, F. Asipenka, Yu. Balin, G. Kokhanenko, I. Penner, S. Samoilova, M. Klemasheva, S. Nasonov, G. Zhamsueva, A. Zayakhanov, V. Tsydypov, D. Azzaya, D. Oyunchimeg, G. Bayasgalan, E. Enkhbat, M. Regzedmaa, N. Lkhagvadorj, G. Dulamtsoo, N. Enkhmaa, Sh. Amarbileg, Nguyen Xuan Anh, Pham Xuan Thanh, Hiep Van Nguyen, Pham Le Khuong, B. Chen, L. Sverdlik

Proceedings Volume 10833, 10833AB (2018) https://doi.org/10.1117/12.2504704

KEYWORDS: Aerosols, LIDAR, Satellites, Atmospheric particles, Radiometry, Atmospheric monitoring, Meteorology, Environmental monitoring, Atmospheric sciences

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SPIE Journal Paper | 31 October 2018

Development of the empirical orthogonal functions-based algorithm for the retrievals of atmospheric CO₂ total column amount from space-borne observations of reflected sunlight

Andrey Bril, Shamil Maksyutov, Sergey Oshchepkov, Yukio Yoshida, Ryoichi Imasu, Chisa Iwasaki, Anatoli Chaikovsky, Anton Fedarenka

JARS, Vol. 12, Issue 04, 046012, (October 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.046012

KEYWORDS: Algorithm development, Satellites, Carbon monoxide, Data processing, Atmospheric optics, Earth observing sensors, Detection and tracking algorithms, Clouds, Aerosols, Carbon dioxide

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Proceedings Article | 17 October 2013 Paper

Retrievals of atmospheric CO2, CH4 and optical path modifications from the GOSAT observations

Andrey Bril, Sergey Oshchepkov, Tatsuya Yokota, Yukio Yoshida, Isamu Morino, Osamu Uchino, Dmitry Belikov, Shamil Maksyutov

Proceedings Volume 8890, 889008 (2013) https://doi.org/10.1117/12.2028486

KEYWORDS: Atmospheric optics, Carbon dioxide, Methane, Absorption, Satellites, Fourier transforms, Aerosols, Short wave infrared radiation, Atmospheric particles, Light scattering

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Proceedings Article | 8 November 2012 Paper

Estimation of regional surface CO2 fluxes with GOSAT observations using two inverse modeling approaches

Shamil Maksyutov, Hiroshi Takagi, Dmitry Belikov, Tazu Saeki, Ruslan Zhuravlev, Alexander Ganshin, Alexander Lukyanov, Yukio Yoshida, Sergey Oshchepkov, Andrey Bril, Makoto Saito, Tomohiro Oda, Vinu Valsala, Ryu Saito, Robert Andres, Thomas Conway, Pieter Tans, Tatsuya Yokota

Proceedings Volume 8529, 85290G (2012) https://doi.org/10.1117/12.979664

KEYWORDS: Carbon dioxide, Atmospheric modeling, Data modeling, Carbon, Biological research, Ecosystems, Climatology, Combustion, Vegetation, Satellites

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Inverse estimation of surface C0₂ fluxes is performed with atmospheric transport model using ground-based and GOSAT observations. The NIES-retrieved C0₂ column mixing (X_c02) and column averaging kernel are provided by GOSAT Level 2 product v. 2.0 and PPDF-DOAS method. Monthly mean C0₂ fluxes for 64 regions are estimated together with a global mean offset between GOSAT data and ground-based data. We used the fixed-lag Kalman filter to infer monthly fluxes for 42 sub-continental terrestrial regions and 22 oceanic basins. We estimate fluxes and compare results obtained by two inverse modeling approaches. In basic approach adopted in GOSAT Level4 product v. 2.01, we use aggregation of the GOSAT observations into monthly mean over 5x5 degree grids, fluxes are estimated independently for each region, and NIES atmospheric transport model is used for forward simulation. In the alternative method, the model-observation misfit is estimated for each observation separately and fluxes are spatially correlated using EOF analysis of the simulated flux variability similar to geostatistical approach, while transport simulation is enhanced by coupling with a Lagrangian transport model Flexpart. Both methods use using the same set of prior fluxes and region maps. Daily net ecosystem exchange (NEE) is predicted by the Vegetation Integrative Simulator for Trace gases (VISIT) optimized to match seasonal cycle of the atmospheric C0₂ . Monthly ocean-atmosphere C0₂ fluxes are produced with an ocean pC02 data assimilation system. Biomass burning fluxes were provided by the Global Fire Emissions Database (GFED); and monthly fossil fuel C0₂ emissions are estimated with ODIAC inventory. The results of analyzing one year of the GOSAT data suggest that when both GOSAT and ground-based data are used together, fluxes in tropical and other remote regions with lower associated uncertainties are obtained than in the analysis using only ground-based data. With version 2.0 of L2 X_c02 the fluxes appear reasonable for many regions and seasons, however there is a need for improving the L2 bias correction, data filtering and the inverse modeling method to reduce estimated flux anomalies visible in some areas. We also observe that application of spatial flux correlations with EOF based approach reduces flux anomalies.

Proceedings Article | 13 October 2008 Paper

Correction of atmospheric scattering effects in space-based observations of methane and carbon dioxide: model study for synthesized GOSAT spectra

Andrey Bril, Sergey Oshchepkov, Tatsuya Yokota

Proceedings Volume 7107, 71070U (2008) https://doi.org/10.1117/12.799712

KEYWORDS: Atmospheric modeling, Methane, Carbon dioxide, Atmospheric corrections, Scattering, Algorithm development, Atmospheric optics, Clouds, Atmospheric particles, Aerosols

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Proceedings Article | 17 October 2007 Paper

Carbon dioxide retrieval from reflected sunlight spectra in the presence of cirrus cloud: model studies

Andrey Bril, Sergey Oshchepkov, Tatsuya Yokota

Proceedings Volume 6745, 674502 (2007) https://doi.org/10.1117/12.737233

KEYWORDS: Clouds, Carbon monoxide, Carbon dioxide, Atmospheric modeling, Satellites, Data modeling, Gases, Oxygen, Atmospheric optics, Short wave infrared radiation

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Proceedings Article | 22 December 2006 Paper

Application of the equivalence theorem to simulate GOSAT observation data under cirrus-present condition

Sergey Oshchepkov, Andrey Bril, Tatsuya Yokota, Gen Inoue

Proceedings Volume 6405, 640509 (2006) https://doi.org/10.1117/12.693537

KEYWORDS: Clouds, Aerosols, Monte Carlo methods, Transmittance, Atmospheric modeling, Atmospheric particles, Scattering, Photon transport, Rayleigh scattering, Absorption

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Proceedings Article | 23 February 2004 Paper

Methodology and sample results of retrieving aerosol parameters by combined multiwavelength lidar and Sun-sky scanning measurements

Anatoly Chaikovsky, A. Bril, Vladimir Barun, O. Dubovik, Brent Holben, Philippe Goloub, P. Sobolewski

Proceedings Volume 5397, (2004) https://doi.org/10.1117/12.548588

KEYWORDS: Aerosols, LIDAR, Atmospheric particles, Data processing, Atmospheric modeling, Refractive index, Error analysis, Backscatter, Data modeling, Radiometry

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Proceedings Article | 19 February 2004 Paper

Laser system for accurate determination of the coordinates of an object on a ground veiled for direct view

Vladimir Barun, Aleksandr Bril, Vadim Gorobets, Vitalii Kabashnikov, Konstantin Kozlov, Anatoly Matsukevich, Vladimir Petukhov, Ludwig Shrenk

Proceedings Volume 5381, (2004) https://doi.org/10.1117/12.547651

KEYWORDS: Laser scattering, Atmospheric modeling, Light scattering, Scattering, Photodetectors, Laser systems engineering, Aerosols, Atmospheric particles, Atmospheric propagation, Semiconductor lasers

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Proceedings Article | 28 March 2003 Paper

Retrieving atmospheric aerosol parameters on the base of multiwavelength lidar and sun sky-scanning radiometer data

Anatoly Chaikovsky, O. Dubovik, Brent Holben, Andrey Bril, Vladimir Barun

Proceedings Volume 5027, (2003) https://doi.org/10.1117/12.497314

KEYWORDS: Aerosols, LIDAR, Atmospheric modeling, Radiometry, Atmospheric particles, Sun, Data modeling, Algorithm development, Atmospheric optics, Refractive index

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Proceedings Article | 28 February 2002 Paper

Optimal regressions to estimate aerosol parameters by data of two- and three-wavelength laser sounding

Vladimir Barun, Andrey Bril, Vitaliy Kabashnikov, V. Popov, Anatoly Chaikovsky

Proceedings Volume 4678, (2002) https://doi.org/10.1117/12.458451

KEYWORDS: Aerosols, Atmospheric particles, Atmospheric modeling, Backscatter, Atmospheric optics, LIDAR, Error analysis, Atmospheric physics, Refractive index, Ocean optics

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Proceedings Article | 28 February 2002 Paper

Dispersion of the impurity released from an instantaneous source in turbulent atmosphere

Yuri Balin, Arkadii Ershov, Andrey Bril, Vitaliy Kabashnikov, V. Popov, Anatoly Chaikovsky

Proceedings Volume 4678, (2002) https://doi.org/10.1117/12.458470

KEYWORDS: Clouds, LIDAR, Atmospheric optics, Statistical analysis, Error analysis, Aerosols, Data processing, Ultrasonics, Meteorology, Temperature metrology

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Proceedings Article | 28 February 2002 Paper

Methodology to retrieve atmospheric aerosol parameters by combining ground-based measurements of multiwavelength lidar and sun sky-scanning radiometer

Anatoly Chaikovsky, O. Dubovik, Brent Holben, Andrey Bril

Proceedings Volume 4678, (2002) https://doi.org/10.1117/12.458450

KEYWORDS: Aerosols, LIDAR, Atmospheric particles, Radiometry, Sun, Radio optics, Atmospheric modeling, Zinc, Data modeling, Atmospheric optics

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Proceedings Article | 19 November 1999 Paper

Effects of uncertainties in atmospheric conditions on the accuracy of concentration measurements by the differential absorption method in the 9- to 11-um and 4.6- to 5.6-um spectral ranges

Andrey Bril, Arkady Ivanov, Vitaliy Kabashnikov, Natalya Kuzmina, V. Popov, Anatoly Chaikovsky

Proceedings Volume 3983, (1999) https://doi.org/10.1117/12.370508

KEYWORDS: Atmospheric modeling, Absorption, Humidity, Error analysis, Temperature metrology, LIDAR, Gases, Atmospheric optics, Statistical modeling, Atmospheric laser remote sensing

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Proceedings Article | 15 January 1998 Paper

Method for fast computation of infrared radiation from heated turbulent jets viewed through thick atmospheric layers

Andrey Bril, Vitaliy Kabashnikov, Yuri Khodyko, Natalya Kuzmina

Proceedings Volume 3219, (1998) https://doi.org/10.1117/12.298055

KEYWORDS: Infrared radiation, Atmospheric optics, Combustion, Optical filters

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Proceedings Article | 22 September 1997 Paper

Prediction of heated jet radiation with account of turbulent fluctuations

Andrey Bril, Vitaliy Kabashnikov, Yuri Khodyko, Olga Zhdanovich

Proceedings Volume 3110, (1997) https://doi.org/10.1117/12.281386

KEYWORDS: Absorption, Combustion, Thermodynamics, Gases, Data modeling, Temperature metrology, Thermal modeling, Infrared radiation, Radiative transfer, Turbulence

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Proceedings Article | 22 September 1997 Paper

Optical similarity of turbulent jets

Andrey Bril, Vitaliy Kabashnikov, Yuri Khodyko, Natalya Kuzmina, Olga Zhdanovich

Proceedings Volume 3110, (1997) https://doi.org/10.1117/12.281380

KEYWORDS: Absorption, Carbon dioxide, Infrared radiation, Gases, Numerical integration, Combustion, Atmospheric optics, Temperature metrology, Thermography, Carbon monoxide

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Showing 5 of 19 publications

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