Articles | Volume 24, issue 9
https://doi.org/10.5194/acp-24-5315-2024
https://doi.org/10.5194/acp-24-5315-2024
Research article
 | 
07 May 2024
Research article |  | 07 May 2024

Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system

Vishnu Thilakan, Dhanyalekshmi Pillai, Jithin Sukumaran, Christoph Gerbig, Haseeb Hakkim, Vinayak Sinha, Yukio Terao, Manish Naja, and Monish Vijay Deshpande

Data sets

Jena CarboScope Version s10oc_v2020 CarboScope http://www.bgc-jena.mpg.de/CarboScope/

CAMS global biomass burning emissions based on fire radiative power (GFAS) Copernicus Atmosphere Monitoring Service https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-fire-emissions-gfas

CAMS global greenhouse gas reanalysis (EGG4) Copernicus Atmosphere Monitoring Service https://doi.org/10.24380/8fck-9w87

EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database (a collaboration between the European Commission, Joint Research Centre (JRC), the International Energy Agency (IEA), and comprising IEA-EDGAR CO2, EDGAR CH4, EDGAR N2O, EDG M. Crippa et al. https://edgar.jrc.ec.europa.eu/dataset_ghg70

CarbonTrackerCT2019B A. R. Jacobson et al. https://doi.org/10.25925/20201008

Global anthropogenic CO2 emissions based on EDGARv4.3 and BP statistics 2019 U. Karstens et al. https://hdl.handle.net/11676/-XUdi3MSHmJxSVBKmPmrTBOn

ODIAC Fossil Fuel CO 2 Emissions Dataset (Version name : ODIAC2020) T. Oda and S. Maksyutov https://doi.org/10.17595/20170411.001

Atmospheric Carbon Dioxide Dry Air Mole Fraction at Nainital, India Y. Terao et al. https://doi.org/10.17595/20220301.001

Fire Inventory from NCAR ver- sion2FireEmission,ResearchDataArchiveattheNationalCen- ter for Atmospheric Research C. Wiedinmyer and L. Emmons https://doi.org/10.5065/XNPA-AF09

Model code and software

Stochastic Time-Inverted Lagrangian Transport model J. C. Lin et al. https://stilt-model.org/index.php/FAQ/InitialSetupTasks

The Weather Research and Forecasting (WRF) Model National Center for Atmospheric Research (NCAR) https://www2.mmm.ucar.edu/wrf/users/download/get_source.html

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Short summary
This study investigates the usability of CO2 mixing ratio observations over India to infer regional carbon sources and sinks. We demonstrate that a high-resolution modelling system can represent the observed CO2 variations reasonably well by improving the transport and flux variations at a fine scale. Future carbon data assimilation systems can thus benefit from these recently available CO2 observations when fine-scale variations are adequately represented in the models.
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