MOESM7 of Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area
Ignacio Pisso
Prabir Patra
Masayuki Takigawa
Toshinobu Machida
Hidekazu Matsueda
Yousuke Sawa
10.6084/m9.figshare.8148335.v1
https://springernature.figshare.com/articles/journal_contribution/MOESM7_of_Assessing_Lagrangian_inverse_modelling_of_urban_anthropogenic_CO2_fluxes_using_in_situ_aircraft_and_ground-based_measurements_in_the_Tokyo_area/8148335
Additional file 6: Table S1. Flux density in mgCO2 m−2 s−2. Text S1. Further details of the CONTRAIL observations. Text S2. Definition and calculation of the Source Receptor Relationship. Text S3. Sensitivity to other elements of the inversion system. Table S2. Including transport model errors in the observation covariance matrix: perturbations on the SRR matrix. Table S3. Including transport model errors in the observation covariance matrix: background representation. Table S4. Including transport model errors in the observation covariance matrix for 3 hourly resolved, averaged fluxes. Text S4. Emission inventories for the city of Tokyo. Table S5. Yearly estimates of emissions from the energy sector from the Tokyo Metropolitan Government. Text S5. Information coming from the retrieval and the emissions inventory.
2019-05-17 05:00:00
Text S 4. Emission inventories
Text S 2. Definition
CONTRAIL observations
Tokyo area
mgCO 2 m Text S 1.
transport model errors
energy sector
Source Receptor Relationship
Table S 5. Yearly estimates
Table S 3.
MOESM 7
Tokyo Metropolitan Government
inversion system
observation covariance matrix
background representation
2 m
Text S 5. Information
Assessing Lagrangian
anthropogenic CO 2 fluxes
emissions inventory
Text S 3. Sensitivity
SRR matrix
Table S 2.
Table S 4.