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Basso, Luana Santamaria; Wilson, Chris; Chipperfield, Martyn P; Gloor, Manuel (2023): Posterior Amazon monthly mean surface carbon flux between 2010 and 2018 estimated using the INVICAT 4D-Var inverse model [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.960593

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Abstract:
This data set consist of a single netcdf file with a set of optimised global surface carbon fluxes (CO2), estimated by variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. We assimilate in-situ surface flask observations from global surface observation sites and Amazonian lower-troposphere vertical profiles of CO2. The vertical profile data used here are available at PANGAEA Data Archiving, at https://doi.org/10.1594/PANGAEA.926834 and more details could be found at Gatti et al. (2021). These surface fluxes are monthly mean values for total emissions (labelled TOTAL_FLUX) on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included (labelled TOTAL_FLUX_ERROR). The fluxes and uncertainties cover the period of January 2010 to December 2018 and units are gC/m2/day, and time units are days since January 1st 2010. Further details about the data can be found in Basso et al. (2023) in the documentation section.
Keyword(s):
Amazon; Carbon; Greenhouse gases; tropical forest
Supplement to:
Basso, Luana Santamaria; Wilson, Chris; Chipperfield, Martyn P; Tejada, Graciela; Cassol, Henrique L G; Arai, Egidio; Williams, Mathew; Smallman, T Luke; Peters, Wouter; Naus, Stijn; Miller, John B; Gloor, Manuel (in review): Atmospheric CO 2 inversion reveals the Amazon as a minor carbon source caused by fire emissions, with forest uptake offsetting about half of these emissions. https://doi.org/10.5194/egusphere-2023-19
Funding:
Sao Paulo Research Foundation (FAPESP), grant/award no. FAPESP 2016/02018-2: Interannual variation of Amazon Basin greenhouse gas balances and their controls in a warming and increasingly variable climate – Carbam: the Amazon carbon balance long-term study
Sao Paulo Research Foundation (FAPESP), grant/award no. FAPESP 2018/14006-4: Estimation of Amazon Greenhouse Gas balances from atmospheric concentrations using inverse modelling of atmospheric transport with TOMCAT model
Sao Paulo Research Foundation (FAPESP), grant/award no. FAPESP 2019/23654-2: Estimation of Amazon Greenhouse Gas balances from atmospheric concentrations using inverse modelling of atmospheric transport with TOMCAT model
Comment:
This data set consist of a single netcdf file with a set of optimised global surface carbon fluxes (CO2), estimated by variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model (the period of January 2010 to December 2018). These surface fluxes are monthly mean values for total emissions (labelled TOTAL_FLUX, units are gC/m2/day) on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included (labelled TOTAL_FLUX_ERROR, units are gC/m2/day).
Time units are days since January 1st 2010.
Further details about the data can be found in Basso et al. (2023) in the documentation section.
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
1.7 MBytes

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