The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction

Abstract. Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing predicting urban air quality. Short-lived chemicals observed as plumes whose location is affected by lifetime height mixing. Here we investigate application data assimilation NO2 columns will be from geostationary orbit improve predictions retrospective analysis wind fields layer.