Greenhouse Gas Exchange between Terrestrial Ecosystems and the Atmosphere: Field Measurements and Model-Based Analysis

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1882

Special Issue Editors


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Department of Meteorology and Climatology, Faculty of Geography, Lomonosov Moscow State University, 119991 Moscow, Russia
Interests: climate change; carbon cycle; greenhouse fluxes; mathematical modeling; remote sensing; field flux measurements
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Guest Editor
Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
Interests: atmospheric turbulence; 3D modelling; greenhouse gas fluxes; land surface-atmosphere interaction; differential equations

Special Issue Information

Dear Colleagues,

The overall goal of this Special Issue is to bring together new results of greenhouse gas (GhG) flux measurements in the field and modelling studies of the land surface-atmosphere interaction on the local and regional scales. The importance of these studies relates to the significant effect of increased anthropogenic GhG emission on modern climate change and the large contribution of terrestrial ecosystems to the global carbon budget. Over the past few decades, a number of field studies were conducted in order to derive the spatial and temporal variability in the energy, water, and carbon fluxes at the land surface-atmosphere interface and to quantify the global and regional GhG emission and uptake rates. A wide range of experimental methods including the eddy covariance and chamber techniques are used in these field studies. There are, however, large uncertainties in global and regional flux estimations due to either the lack of experimental data for some biomes or the mismatch of timescales between available data. Thus, new experimental data are very necessary for a better understanding of the spatial and temporal variability of GhG fluxes among various terrestrial ecosystems, as well as to determine their possible response to changes in environmental conditions.  Process-based (1D or 3D) land surface-atmosphere interaction models are a very useful framework to incorporate specific ecosystem responses to altered environmental conditions. They can be effectively used in predicting the influence of land use and vegetation changes on the atmosphere as well as in deriving the effects of global change on terrestrial biomes. A large number of very important questions, related to the land surface-atmosphere interaction, still remain open and require new multifaceted studies.

For this Special Issue, we invite scientists working in meteorology, climatology, ecology, biogeochemistry and atmospheric physics to contribute new experimental and modelling studies of the forest–atmosphere interactions on local and regional scales. Contributions can include, but are not limited to, the following: field measurements of GhG fluxes using various measuring techniques, modelling of the land surface-atmosphere interaction, assessing the response of GhG fluxes to environmental changes, application of remote sensing data to derive the surface GhG fluxes, etc.

Prof. Dr. Alexander Olchev
Dr. Yulia Mukhartova
Guest Editors

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Keywords

  • greenhouse fluxes
  • field flux measurements
  • land surface-atmosphere interaction
  • eddy covariance and chamber measurements
  • remote sensing
  • modeling of atmospheric fluxes

Published Papers (1 paper)

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Research

21 pages, 10811 KiB  
Article
Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland
by Iuliia Mukhartova, Julia Kurbatova, Denis Tarasov, Ravil Gibadullin, Andrey Sogachev and Alexander Olchev
Atmosphere 2023, 14(4), 625; https://doi.org/10.3390/atmos14040625 - 25 Mar 2023
Cited by 4 | Viewed by 1546
Abstract
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 [...] Read more.
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. Full article
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