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Dataset Information

Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area.


ABSTRACT:

Background

In order to use in situ measurements to constrain urban anthropogenic emissions of carbon dioxide (CO2), we use a Lagrangian methodology based on diffusive backward trajectory tracer reconstructions and Bayesian inversion. The observations of atmospheric CO2 were collected within the Tokyo Bay Area during the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) flights, from the Tsukuba tall tower of the Meteorological Research Institute (MRI) of the Japan Meteorological Agency and at two surface sites (Dodaira and Kisai) from the World Data Center for Greenhouse Gases (WDCGG).

Results

We produce gridded estimates of the CO2 emissions and calculate the averages for different areas within the Kanto plain where To

SUBMITTER: Pisso I 

PROVIDER: S-EPMC7227294 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature