Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product
نویسندگان
چکیده
منابع مشابه
Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals
Accurate estimations of power plant NOx emissions can be made with OMI data. Exponentially-Modified Gaussian fit needs multi-annual OMI averages. Box Model fit requires seasonal OMI averages for accurate estimates. Lifetimes are dominated by a mixed lifetime that does not represent chemical lifetime. Continuous Emission Monitoring System (CEMS) provides an excellent emissions test bed. CEMS Emi...
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Results from a regional air quality forecast model, AIRPACT-3, are compared to OMI tropospheric NO2 integrated column densities for an 18 month period over the Pacific Northwest. AIRPACT column densities are well correlated (r = 0.75) to cloud-free (<35%) retrievals of tropospheric NO2 for monthly averages without wildfires, but are poorly correlated (r = 0.21) with significant model overpredic...
متن کاملNear-real time retrieval of tropospheric NO2 from OMI
We present a new algorithm for the near-real time retrieval – within 3 h of the actual satellite measurement – of tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI). The retrieval is based on the combined retrieval-assimilation-modelling approach developed at KNMI for off-line tropospheric NO2 from the GOME and SCIAMACHY satellite instruments. We have adapted the off-line syste...
متن کاملAssimilated inversion of NOx emissions over east Asia using OMI NO2 column measurements
[1] Assimilated inversion on a daily basis using OMI tropospheric NO2 columns is developed and applied in a regional chemical transport model (REAM) to constrain fossil fuel (FF) NOx emissions over east Asia in 2007. The iterative nature of the assimilated inversion improves upon the widely used monthly-mean inversion by accounting for the chemical feedbacks of changed NOx emissions and reducin...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2019
ISSN: 2072-4292
DOI: 10.3390/rs11161861