Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system
Data sets
Jena CarboScope Version s10oc_v2020 http://www.bgc-jena.mpg.de/CarboScope/
CAMS global biomass burning emissions based on fire radiative power (GFAS) https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-fire-emissions-gfas
CAMS global greenhouse gas reanalysis (EGG4) 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 https://edgar.jrc.ec.europa.eu/dataset_ghg70
CarbonTrackerCT2019B https://doi.org/10.25925/20201008
Global anthropogenic CO2 emissions based on EDGARv4.3 and BP statistics 2019 https://hdl.handle.net/11676/-XUdi3MSHmJxSVBKmPmrTBOn
ODIAC Fossil Fuel CO 2 Emissions Dataset (Version name : ODIAC2020) https://doi.org/10.17595/20170411.001
Atmospheric Carbon Dioxide Dry Air Mole Fraction at Nainital, India https://doi.org/10.17595/20220301.001
Fire Inventory from NCAR ver- sion2FireEmission,ResearchDataArchiveattheNationalCen- ter for Atmospheric Research https://doi.org/10.5065/XNPA-AF09
Model code and software
Stochastic Time-Inverted Lagrangian Transport model https://stilt-model.org/index.php/FAQ/InitialSetupTasks
The Weather Research and Forecasting (WRF) Model https://www2.mmm.ucar.edu/wrf/users/download/get_source.html