High-detailed tropospheric transport of NOx from ground sources: comparison of model data and satellite imagery

Mukhartova, Yu. V.; Postylyakov, O. V.; Давыдова, М. А.; Zakharova, S. A.

doi:10.1117/12.2600283

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…At present, many numerical schemes have been developed to solve the incompressible Navier-Stokes equations [43]. Based on the first-order pressure-correction method [44] and several modifications [45][46][47][48], we have developed a stable numerical scheme for simulating the wind velocity components and the turbulent coefficient considering vegetation heterogeneities. The description of our numerical method is presented in Supplementary Materials S3.…”

Section: Airflow Modelmentioning

confidence: 99%

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

et al. 2023

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We present a modeling tool capable of computing carbon dioxide (CO2) fluxes over a non-uniform boreal peatland. The three-dimensional (3D) hydrodynamic model is based on the “one-and-a-half” closure scheme of the system of the Reynolds-Averaged Navier–Stokes and continuity equations. Despite simplifications used in the turbulence description, the model allowed obtaining the spatial steady-state distribution of the averaged wind velocities and coefficients of turbulent exchange within the atmospheric surface layer, taking into account the surface heterogeneity. The spatial pattern of CO2 fluxes within and above a plant canopy is derived using the “diffusion–reaction–advection” equation. The model was applied to estimate the spatial heterogeneity of CO2 fluxes over a non-uniform boreal ombrotrophic peatland, Staroselsky Moch, in the Tver region of European Russia. The modeling results showed a significant effect of vegetation heterogeneity on the spatial pattern of vertical and horizontal wind components and on vertical and horizontal CO2 flux distributions. Maximal airflow disturbances were detected in the near-surface layer at the windward and leeward forest edges. The forest edges were also characterized by maximum rates of horizontal CO2 fluxes. Modeled turbulent CO2 fluxes were compared with the mid-day eddy covariance flux measurements in the southern part of the peatland. A very good agreement of modeled and measured fluxes (R2 = 0.86, p < 0.05) was found. Comparisons of the vertical profiles of CO2 fluxes over the entire peatland area and at the flux tower location showed significant differences between these fluxes, depending on the prevailing wind direction and the height above the ground.

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Section: Airflow Modelmentioning

confidence: 99%

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

et al. 2023

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Russian Investigations in the Field of Amtospheric Radiation in 2019–2022

Timofeyev,

Budak,

Virolainen

et al. 2023

Izvestiâ Akademii nauk SSSR. Fizika atmosfery i okeana

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The main results of scientific research and development in the field of atmospheric radiation in Russia for the period 2019–2022 are considered The main attention is paid to research in the field of radiative transfer theory, atmospheric spectroscopy, radiation climatology, aerosol and radiation forcing, remote sensing of the atmosphere and surface, interpretation of satellite measurements Lists of major publications in these areas for this period are provided.

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High-detailed tropospheric transport of NOx from ground sources: comparison of model data and satellite imagery

Cited by 2 publications

References 9 publications

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

Russian Investigations in the Field of Amtospheric Radiation in 2019–2022

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