Dr. Sergey Oshchepkov Profile

Dr. Sergey Oshchepkov

Retired at National Institute for Environmental Studies

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Author

Publications (11)

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

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

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

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

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

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Proceedings Article | 14 December 1998 Paper

Improved method of optical particle size retrieval with new types of a prioi information

Sergey Oshchepkov, Alexander Sinyuk, Harumi Isaka, Jean-Francois Gayet, Frederique Auriol

Proceedings Volume 3495, (1998) https://doi.org/10.1117/12.332679

KEYWORDS: Refractive index, Aerosols, Particles, Error analysis, Optical testing, Inverse problems, Chemical elements, Atmospheric particles, Particle sizing, Inverse optics

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Proceedings Article | 1 January 1997 Paper

Particle sizing of mixed-phase and cirrus clouds from phase function measurements

Sergey Oshchepkov, Harumi Isaka

Proceedings Volume 3220, (1997) https://doi.org/10.1117/12.301168

KEYWORDS: Scattering, Particles, Crystals, Numerical simulations, Clouds, Ray tracing, Phase measurement, Scatter measurement, Particle sizing

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Proceedings Article | 20 December 1996 Paper

Inverse scattering problem for mixed-phase and cirrus clouds

Sergey Oshchepkov, Harumi Isaka

Proceedings Volume 2961, (1996) https://doi.org/10.1117/12.262496

KEYWORDS: Scattering, Water, Particles, Crystals, Light scattering, Clouds, Optical testing, Inverse problems, Spherical lenses, Scatter measurement

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Proceedings Article | 23 December 1994 Paper

Determination of soot-like component presence from brightness spectra measurements of a cloud layer: design of cloud brightness model by means of intraclouds phase function measurements

Sergey Oshchepkov, Tatjana Lapyonok, Oleg Dubovik

Proceedings Volume 2309, (1994) https://doi.org/10.1117/12.196680

KEYWORDS: Scattering, Water, Particles, Light scattering, Clouds, Inverse problems, Phase measurement, Atmospheric modeling, Inverse optics, Absorption

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Proceedings Article | 23 December 1994 Paper

Improved technique for statistically optimum inversion of optical data in presence of measurements and model noise

Oleg Dubovik, Tatjana Lapyonok, Sergey Oshchepkov

Proceedings Volume 2309, (1994) https://doi.org/10.1117/12.196675

KEYWORDS: Statistical analysis, Data modeling, Satellites, Matrices, Remote sensing, Error analysis, Chemical elements, Optimization (mathematics), Atmospheric modeling, Inverse optics

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Showing 5 of 11 publications

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