Articles | Volume 24, issue 9
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

CAMS global biomass burning emissions based on fire radiative power (GFAS) Copernicus Atmosphere Monitoring Service!/dataset/cams-global-fire-emissions-gfas

CAMS global greenhouse gas reanalysis (EGG4) Copernicus Atmosphere Monitoring Service

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.

CarbonTrackerCT2019B A. R. Jacobson et al.

Global anthropogenic CO2 emissions based on EDGARv4.3 and BP statistics 2019 U. Karstens et al.

ODIAC Fossil Fuel CO 2 Emissions Dataset (Version name : ODIAC2020) T. Oda and S. Maksyutov

Atmospheric Carbon Dioxide Dry Air Mole Fraction at Nainital, India Y. Terao et al.

Fire Inventory from NCAR ver- sion2FireEmission,ResearchDataArchiveattheNationalCen- ter for Atmospheric Research C. Wiedinmyer and L. Emmons

Model code and software

Stochastic Time-Inverted Lagrangian Transport model J. C. Lin et al.

The Weather Research and Forecasting (WRF) Model National Center for Atmospheric Research (NCAR)

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.
Final-revised paper