RAS PresidiumДоклады Российской академии наук. Науки о Земле Doklady Earth Sciences

  • ISSN (Print) 2686-7397
  • ISSN (Online) 3034-5065

DIAGNOSTICS OF THE REGIONAL CARBON BALANCE BASED ON SATELLITE OBSERVATIONS OF CARBON DIOXIDE

PII
S30345065S2686739725080196-1
DOI
10.7868/S3034506525080196
Publication type
Article
Status
Published
Authors
Volume/ Edition
Volume 523 / Issue number 2
Pages
337-343
Abstract
A new approach to diagnostics of the regional carbon balance is presented, which involves optimization of parameters of an ecosystem carbon exchange model using satellite observations of the column-average dry-air mole fraction of CO in the atmosphere (XCO) and a mesoscale chemistry-transport model. The potential of the suggested approach is demonstrated through its application to estimate ecosystem CO fluxes in Central Siberia using XCO data from the OCO-2 satellite.
Keywords
углеродный баланс региона обратное моделирование экосистемный обмен CO
Date of publication
12.05.2025
Year of publication
2025
Number of purchasers
0
Views
27

References

  1. 1. Kong Y., Zheng B., Zhang Q., He K. Global and regional carbon budget for 2015–2020 inferred from OCO 2 based on an ensemble Kalman filter coupled with GEOS-Chem // Atmos. Chem. Phys. 2022. V. 22. P. 10769–10788.
  2. 2. Денисов С.Н., Елисеев А.В., Мохов И.И. Естественные стоки и источники CO2 и CH4 в атмосфере российских регионов и их вклад в изменения климата в XXI веке по расчетам с ансамблем моделей CMIP6 // Известия РАН. Физика атмосферы и океана. 2024. Т. 60. № 2. C. 157–172.
  3. 3. Сорокина Д.Д., Птичников А.В., Романовская А.А. Сравнительный анализ и оценка методик расчета поглощения парниковых газов лесными экосистемами, применяемых в Российской Федерации // Известия РАН. Серия географическая. 2023. Т. 87. № 4. С. 497–511.
  4. 4. Crisp D., Dolman H., Tanhua T., McKinley G.A., Hauck J., Bastos A., Sitch S., Eggleston S., Aich V. How well do we understand the land-ocean-atmosphere carbon cycle? // Rev. Geophys. 2022. V. 60. P. e2021RG000736.
  5. 5. Enting I.G. Inverse problems in atmospheric constituents transport. Cambridge: Cambridge Univ. Press, 2002. 392 p.
  6. 6. Chevallier F., Remaud M., O’Dell C.W., Baker D., Peylin P., Cozic A. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions // Atmos. Chem. Phys. 2019. V. 19. P. 14233–14251.
  7. 7. Пыжев А.И., Ваганов Е.А. Поглощение углерода лесами регионов Поволжья и Сибири: состояние и перспективы // Георесурсы. 2021. Т. 23. № 3. С. 36–41.
  8. 8. Konovalov I.B., Golovushkin N.A., Mareev E.A. Using OCO 2 observations to constrain regional CO2 fluxes estimated with the Vegetation, Photosynthesis and Respiration model // Remote Sens. 2025. V. 17. P. 177.
  9. 9. Mahadevan P., Wofsy S.C., Matross D.M., Xiao X., Dunn A.L., Lin J.C., Gerbig C. et al. A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration model (VPRM) // Glob. Biogeochem. Cycles 2008 V. 22. P. GB2005.
  10. 10. Menut L., Cholakian A., Pennel R., Siour G., Mailler S., Valari M., Lugon L. et al. The CHIMERE chemistry-transport model v2023r1 // Geosci. Model Dev. 2024. V. 17. P. 5431–5457.
  11. 11. Skamarock W.C., Klemp J.B., Dudhia J., Gill D.O., Liu Z., Bertner J., Wang W., Powers J.G. et al. A description of the Advanced Research WRF model version 4 // NCAR Tech. Note NCAR/TN 556. STR. 2021.
  12. 12. Kiel M., O’Dell C.W., Fisher B., Eldering A., Nassar R., MacDonald C.G., Wennberg P.O. How bias correction goes wrong: Measurement of XCO2 affected by erroneous surface pressure estimates // Atmos. Meas. Tech. 2019. V. 12. P. 2241–2259.
  13. 13. Konovalov I.B., Golovushkin N.A., Beekmann M. Wildfire-smoke-precipitation interactions in Siberia: Insights from a regional model study // Sci. Tot. Environ. 2024. V. 951. P. 175518.
  14. 14. He M., Kimball J.S., Maneta M.P., Maxwell B.D., Moreno A., Beguería S., Wu X. Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data // Remote Sens. 2018. V. 10. P. 372.
  15. 15. van der Werf G.R., Randerson G.R., Giglio J.T. et al. Global fire emissions estimates during 1997–2016 // Earth Syst. Sci. Data. 2017. V. 9. P. 697–720.
  16. 16. Winderlich J., Gerbig C., Kolle O., Heimann M. Inferences from CO2 and CH4 concentration profiles at the Zotino Tall Tower Observatory (ZOTTO) on regional summertime ecosystem fluxes // Biogeosciences 2014. V. 11. P. 2055–2068.
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