22 research outputs found
Optimization of the photon path length probability density function-simultaneous (PPDF-S) method and evaluation of CO 2 retrieval performance under dense aerosol conditions
The photon path length probability density function-simultaneous (PPDF-S) algorithm is effective for retrieving column-averaged concentrations of carbon dioxide (XCO 2 ) and methane (XCH 4 ) from Greenhouse gases Observing Satellite (GOSAT) spectra in Short Wavelength InfraRed (SWIR). Using this method, light-path modification attributable to light reflection/scattering by atmospheric clouds/aerosols is represented by the modification of atmospheric transmittance according to PPDF parameters. We optimized PPDF parameters for a more accurate XCO 2 retrieval under aerosol dense conditions based on simulation studies for various aerosol types and surface albedos. We found a more appropriate value of PPDF parameters referring to the vertical profile of CO 2 concentration as a measure of a stable solution. The results show that the constraint condition of a PPDF parameter that represents the light reflectance effect by aerosols is sufficiently weak to affect XCO 2 adversely. By optimizing the constraint, it was possible to obtain a stable solution of XCO 2 . The new optimization was applied to retrieval analysis of the GOSAT data measured in Western Siberia. First, we assumed clear sky conditions and retrieved XCO 2 from GOSAT data obtained near Yekaterinburg in the target area. The retrieved XCO 2 was validated through a comparison with ground-based Fourier Transform Spectrometer (FTS) measurements made at the Yekaterinburg observation site. The validation results showed that the retrieval accuracy was reasonable. Next, we applied the optimized method to dense aerosol conditions when biomass burning was active. The results demonstrated that optimization enabled retrieval, even under smoky conditions, and that the total number of retrieved data increased by about 70%. Furthermore, the results of the simulation studies and the GOSAT data analysis suggest that atmospheric aerosol types that affected CO 2 analysis are identifiable by the PPDF parameter value. We expect that we will be able to suggest a further improved algorithm after the atmospheric aerosol types are identified. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.Russian Science Foundation: 18-11-00024Acknowledgments: The v3.0 ACOS/OCO-2 absorption coefficient (ABSCO) tables, used for the calculation of gas absorption coefficients, were provided by NASA and the ACOS/OCO-2 project. Vyacheslav Zakharov, Konstantin Gribanov, and Nikita Rokotyan thank the Russian Science Foundation for support of their research under the framework of grant 18-11-00024
Verification of H2O lines from the HITRAN database for remote sensing of the water vapour isotopic composition
The quality of the spectroscopic line parameters from the HITRAN Database for remote sensing of the water vapour isotopic composition of the atmosphere is widely discussed. In this research we show that the HITRAN-2008 data for H2O isotopologues in the near infrared spectral range (4000-6400 cm-1) is reasonably good. The HITRAN data was tested with independent calculation (ab initio et al.). For the evaluation we've used two following criteria: a quality of the fitting of atmospheric spectra measured at the Ural Atmospheric Station (UAS, Kourovka) with the high-resolution Fourier-transform infrared spectrometer and an agreement between the retrieved HDO/H2O relative concentration ratios in the atmospheric column and the results of the simulation of the isotopic general circulation model ECHAM5-wiso (validated for Kourovka region). © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Developing a western Siberia reference site for tropospheric water vapour isotopologue observations obtained by different techniques (in situ and remote sensing)
Water stable isotopologues provide integrated tracers of the atmospheric
water cycle, affected by changes in air mass origin, non-convective
and convective processes and continental recycling. Novel remote
sensing and in situ measuring techniques have recently offered
opportunities for monitoring atmospheric water vapour isotopic
composition. Recently developed infrared laser spectrometers allow for
continuous in situ measurements of surface water vapour
δD<sub>v</sub> and
δ<sup>18</sup>O<sub>v</sub>. So far, very few intercomparisons
of measurements conducted using different techniques have been
achieved at a given location, due to difficulties intrinsic to the
comparison of integrated with local measurements. Nudged simulations
conducted with high-resolution isotopically enabled general circulation models (GCMs) provide
a consistent framework for comparison with the different types of
observations. Here, we compare simulations conducted with the
ECHAM5-wiso model with two types of water vapour isotopic data
obtained during summer 2012 at the forest site of Kourovka, western
Siberia: hourly ground-based FTIR total atmospheric columnar
δD<sub>v</sub> amounts, and in situ hourly Picarro
δD<sub>v</sub> measurements. There is an excellent
correlation between observed and predicted
δD<sub>v</sub> at surface while the comparison between
water column values derived from the model compares well with FTIR
estimates
A posteriori calculation of delta O-18 and delta D in atmospheric water vapour from ground-based near-infrared FTIR retrievals of (H2O)-O-16, H2O)-O-18, and (HDO)-O-16
IMPROVING OF QUALITY OF SHEET METAL BASED ON THEORY OF CONTACT INTERACTION AT ROLLING
A theory and methods of solving the equation of the contact interaction between a plastic strip and elastic rolls have been developed. New applied methods of determining the contact interaction have been devised. New equipment and technologies used for rolling plates, sheets and strips of high quality have been created. The results of the work have been used at a great number of sheet-wide strip mills of hot and cold rolling.Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio
DEVELOPMENT OF METHOD OF OPTIMIZATION OF PRIMARY NETWORK STRUCTURE AND ESTIMATION OF CHARACTERISTICS OF ITS FUNCTIONING UNDER CONDITIONS OF EMERGENCY SITUATIONS
A new method is proposed for the optimization of the primary network structure during its restoration under the extreme conditions and an estimation is made for the parameters of functioning of the restored primary network and for the requirements in the restoring facilities for the communication network. The results of the work make it possible to formulate the requirements to the primary network restoration system, to determine the requirement in the communication means reserve for the network and to estimate the quality of the information transmission through the restored primary network. The methods and algorithms are adqusted to the acting software used in the work concerning the servivability of the communication net of Russia. The obtained results are applicable to the primary communication network control systemAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio
Retrieval of vertical profiles of water vapor isotopes in the atmosphere based on infrared transmittance spectra of sunlight
International audienc
Verification of H2O lines from the HITRAN database for remote sensing of the water vapour isotopic composition
The quality of the spectroscopic line parameters from the HITRAN Database for remote sensing of the water vapour isotopic composition of the atmosphere is widely discussed. In this research we show that the HITRAN-2008 data for H2O isotopologues in the near infrared spectral range (4000-6400 cm-1) is reasonably good. The HITRAN data was tested with independent calculation (ab initio et al.). For the evaluation we've used two following criteria: a quality of the fitting of atmospheric spectra measured at the Ural Atmospheric Station (UAS, Kourovka) with the high-resolution Fourier-transform infrared spectrometer and an agreement between the retrieved HDO/H2O relative concentration ratios in the atmospheric column and the results of the simulation of the isotopic general circulation model ECHAM5-wiso (validated for Kourovka region). © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Optimization of the Photon Path Length Probability Density Function-Simultaneous (PPDF-S) Method and Evaluation of CO2 Retrieval Performance Under Dense Aerosol Conditions
The photon path length probability density function-simultaneous (PPDF-S) algorithm is effective for retrieving column-averaged concentrations of carbon dioxide (XCO2) and methane (XCH4) from Greenhouse gases Observing Satellite (GOSAT) spectra in Short Wavelength InfraRed (SWIR). Using this method, light-path modification attributable to light reflection/scattering by atmospheric clouds/aerosols is represented by the modification of atmospheric transmittance according to PPDF parameters. We optimized PPDF parameters for a more accurate XCO2 retrieval under aerosol dense conditions based on simulation studies for various aerosol types and surface albedos. We found a more appropriate value of PPDF parameters referring to the vertical profile of CO2 concentration as a measure of a stable solution. The results show that the constraint condition of a PPDF parameter that represents the light reflectance effect by aerosols is sufficiently weak to affect XCO2 adversely. By optimizing the constraint, it was possible to obtain a stable solution of XCO2. The new optimization was applied to retrieval analysis of the GOSAT data measured in Western Siberia. First, we assumed clear sky conditions and retrieved XCO2 from GOSAT data obtained near Yekaterinburg in the target area. The retrieved XCO2 was validated through a comparison with ground-based Fourier Transform Spectrometer (FTS) measurements made at the Yekaterinburg observation site. The validation results showed that the retrieval accuracy was reasonable. Next, we applied the optimized method to dense aerosol conditions when biomass burning was active. The results demonstrated that optimization enabled retrieval, even under smoky conditions, and that the total number of retrieved data increased by about 70%. Furthermore, the results of the simulation studies and the GOSAT data analysis suggest that atmospheric aerosol types that affected CO2 analysis are identifiable by the PPDF parameter value. We expect that we will be able to suggest a further improved algorithm after the atmospheric aerosol types are identified