Abstract
This pilot study focusing on Rotterdam and Paris investigates innovative means to use earth observation data as additional constraints to estimate anthropogenic city-scale CO2 fluxes. NO2 tropospheric column from OMI is used as a proxy. The LOTOS-EUROS chemistry transport model equipped with a source apportionment module was used to track and label the origin of NO2 at OMI overpass. Next, this information is combined with source specific reported anthropogenic NO2/CO2 ratio to derive co-emitted CO2 per source sector. In this paper, preliminary results are presented and the added value of the use of remote sensing data and regional air quality models to infer information on anthropogenic emissions is discussed.
| Original language | English |
|---|---|
| Title of host publication | Springer Proceedings in Complexity |
| Pages | 587-591 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 1 Jan 2016 |
| Externally published | Yes |
Keywords
- Chemistry transport modelling
- Earth observation data
- Ozone monitoring instrument
- Road transport
- Source sector