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Modeling the Spatial Variability of the Wind Field and CO2 and CH4 Fluxes over a Heterogeneous Surface.

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Title: Modeling the Spatial Variability of the Wind Field and CO2 and CH4 Fluxes over a Heterogeneous Surface.
Authors: Gibadullin, R. R.1,2 (AUTHOR) ravil00121@mail.ru, Mukhartova, I. V.1,2,3 (AUTHOR), Kochkina, M. V.4 (AUTHOR), Satosina, E. M.1 (AUTHOR), Stepanenko, V. M.1,5 (AUTHOR), Kerimov, I. A.2,6 (AUTHOR), Gulev, S. K.4 (AUTHOR), Olchev, A. V.1,2,4 (AUTHOR)
Source: Russian Meteorology & Hydrology. Sep2024, Vol. 49 Issue 9, p828-833. 6p.
Subject Terms: *Greenhouse gases, *Wind speed, *Weather, *Three-dimensional modeling, *Ground vegetation cover
Abstract: The spatial variability of CO2 and CH4 fluxes at two experimental carbon supersites with non-uniform vegetation and complex topography located in the Krasnodar krai and the Chechen Republic is estimated based on the results of field measurements and model experiments. The results show a significant spatial heterogeneity of the wind speed, turbulent coefficient, and vertical CO2 and CH4 fluxes. It is influenced by complex topography and mosaic vegetation, as well as by an uneven distribution of CO2 and CH4 sources and sinks in vegetation and soil cover. It has been shown that on the summer days of 2022 in similar weather conditions, both experimental sites served as sinks of greenhouse gases: the Roshni-Chu forest area in the Chechen Republic absorbed 5.18 g CO2e/(m2 hour), while the Black Sea coastal area in the Krasnodar krai absorbed only 2.95 g CO2e/(m2 hour). [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 181708920
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Sep2024, Vol. 49 Issue 9, p828-833. 6p.
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  Data: *<searchLink fieldCode="DE" term="%22Greenhouse+gases%22">Greenhouse gases</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br />*<searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br />*<searchLink fieldCode="DE" term="%22Three-dimensional+modeling%22">Three-dimensional modeling</searchLink><br />*<searchLink fieldCode="DE" term="%22Ground+vegetation+cover%22">Ground vegetation cover</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The spatial variability of CO2 and CH4 fluxes at two experimental carbon supersites with non-uniform vegetation and complex topography located in the Krasnodar krai and the Chechen Republic is estimated based on the results of field measurements and model experiments. The results show a significant spatial heterogeneity of the wind speed, turbulent coefficient, and vertical CO2 and CH4 fluxes. It is influenced by complex topography and mosaic vegetation, as well as by an uneven distribution of CO2 and CH4 sources and sinks in vegetation and soil cover. It has been shown that on the summer days of 2022 in similar weather conditions, both experimental sites served as sinks of greenhouse gases: the Roshni-Chu forest area in the Chechen Republic absorbed 5.18 g CO2e/(m2 hour), while the Black Sea coastal area in the Krasnodar krai absorbed only 2.95 g CO2e/(m2 hour). [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=181708920
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        Value: 10.3103/S1068373924090085
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 828
    Subjects:
      – SubjectFull: Greenhouse gases
        Type: general
      – SubjectFull: Wind speed
        Type: general
      – SubjectFull: Weather
        Type: general
      – SubjectFull: Three-dimensional modeling
        Type: general
      – SubjectFull: Ground vegetation cover
        Type: general
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      – TitleFull: Modeling the Spatial Variability of the Wind Field and CO2 and CH4 Fluxes over a Heterogeneous Surface.
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            NameFull: Gibadullin, R. R.
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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              Value: 49
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              Value: 9
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