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Bayesian statistics / Estimation theory / Control theory / Linear filters / Chemical engineering / Data assimilation / Ensemble Kalman filter / Aura / Kalman filter / Air pollution / Pollution / Atmosphere


Using daily satellite observations to estimate emissions of short-lived air pollutants on a mesoscopic scale
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Document Date: 2012-11-19 10:30:48

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City

PM2.5 / Shanghai / Beijing / De Bilt / /

Company

De Bilt AE / /

Continent

Asia / Europe / /

Country

Netherlands / China / /

/

Facility

Royal Netherlands Meteorological Institute / /

IndustryTerm

cloud algorithm / chemical components / chemical transport model / forward chemical transport model / Chemical transport model runs / trace gas retrievals / satellite instruments / satellite data / transportation / real satellite data / satellite retrievals / satellite footprint / retrieval product / satellite product / retrieval algorithm / satellite instrument / satellite observations / daily satellite observations / modeled trace gas concentrations / chemical species / short-lived chemical species / trace gas emission / satellite retrieval method / /

NaturalFeature

Pearl River Delta / /

Organization

Royal Netherlands Meteorological Institute / American Geophysical Union / European Centre for Medium-Range Weather Forecasts / /

Person

Pa ðt / Ai / /

Position

representative / Corresponding author / model / /

ProgrammingLanguage

L / R / C / /

ProvinceOrState

British Columbia / /

PublishedMedium

JOURNAL OF GEOPHYSICAL RESEARCH / /

Region

East China / East Asia / /

Technology

radiation / FRESCO algorithm / tropospheric NO2 retrieval algorithm / simulation / cloud algorithm / The DECSO algorithm / /

URL

http /

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