Applying satellite retrievals to identify urban emissions of GHG's over East Asia
Abstract
Here we have used satellite retrievals to identify GHG's emissions over East Asia. With multi-year GOSAT CO2/CH4 products (2009 - 2014) and recent OCO-2 retrievals (2014 - 2015), better availability of the data enabled to show the regional/local scale (less than 1° x 1° spatial resolution) urban GHG's emissions. We identified the urban emissions from the enhanced values of xCO2/xCH4 and estimated the correlation of those signals with available GHG's emissions inventory over East Asia. Also, some of those retrievals were compared with ground/aircraft measurements to verify those remotely sensed data. Those efforts are useful to identify regional/local anthropogenic GHG's emissions over East Asia where the GHG's emissions inventories are still uncertain, which can support government policy to mitigate air pollution. In addition, we introduce our efforts to constrain the emissions of CO2 from GOSAT/OCO-2 data using 4-Dvar inverse modeling framework and we show some preliminary results. This study represents the current progress to understand sub-continental scale atmospheric CO2 variabilities and its emissions with recent satellite retrievals and advanced modeling.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.A41F0095S
- Keywords:
-
- 3305 Climate change and variability;
- ATMOSPHERIC PROCESSESDE: 3337 Global climate models;
- ATMOSPHERIC PROCESSESDE: 3339 Ocean/atmosphere interactions;
- ATMOSPHERIC PROCESSESDE: 3360 Remote sensing;
- ATMOSPHERIC PROCESSES