Articles | Volume 9, issue 1
Geosci. Model Dev., 9, 17–39, 2016
https://doi.org/10.5194/gmd-9-17-2016
Geosci. Model Dev., 9, 17–39, 2016
https://doi.org/10.5194/gmd-9-17-2016

Development and technical paper 15 Jan 2016

Development and technical paper | 15 Jan 2016

GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia

S. Lee et al.

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Cited articles

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Short summary
We developed an integrated air quality modeling system using AOD data retrieved from a geostationary satellite sensor, GOCI (Geostationary Ocean Color Imager), over Northeast Asia with an application of the spatiotemporal-kriging (STK) method and conducted short-term hindcast runs using the developed system. It appears that the STK approach can greatly reduce not only the errors and biases of AOD and PM10 predictions but also the computational burden of a chemical weather forecast (CWF).