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| Titel |
Using Satellite Remote Sensing and Modelling for Insights into NO2 Air Pollution and NOx Emissions. |
| VerfasserIn |
L. N. Lamsal, R. V. Martin, N. A. Krotkov, E. J. Bucsela, E. A. Celarier, A. van Donkelaar, D. Parrish |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250068691
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| Zusammenfassung |
| Nitrogen oxides (NOx) are key actors in air quality and climate change. Satellite remote
sensing of tropospheric NO2has developed rapidly with enhanced spatial and temporal
resolution since initial observations in 1995. We have developed an improved algorithm and
retrieved tropospheric NO2 columns from Ozone Monitoring Instrument. Column
observations of tropospheric NO2 from the nadir-viewing satellite sensors contain
large contributions from the boundary layer due to strong enhancement of NO2
in the boundary layer. We infer ground-level NO2 concentrations from the OMI
satellite instrument which demonstrate significant agreement with in-situ surface
measurements. We examine how NO2 columns measured by satellite, ground-level NO2
derived from satellite, and NOx emissions obtained from bottom-up inventories
relate to world’s urban population. We perform inverse modeling analysis of NO2
measurements from OMI to estimate "top-down" surface NOx emissions, which are used
to evaluate and improve "bottom-up" emission inventories. We use NO2 column
observations from OMI and the relationship between NO2 columns and NOxemissions
from a GEOS-Chem model simulation to estimate the annual change in bottom-up
NOx emissions. The emission updates offer an improved estimate of NOx that are
critical to our understanding of air quality, acid deposition, and climate change. |
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