JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS07] Atmospheric Chemistry

convener:Naoko Saitoh(Center for Environmental Remote Sensing), Tomoki Nakayama(Graduate School of Fisheries and Environmental Sciences, Nagasaki University), Sakae Toyoda(Department of Chemical Science and Engineering, Tokyo Institute of Technology), Risa Uchida(Japan Automobile Research Institute)

[AAS07-09] Model Evaluation of NO2 horizontal distribution with MAX-DOAS ground measurement during Chiba-Campaign 2015

*Syuichi Itahashi1, Hitoshi Irie2 (1.Central Research Institute of Electric Power Industry, 2.Center for Environmental Remote Sensing, Chiba University)

Keywords:Chemical Transport Model, MAX-DOAS, NO2

In this study, the horizontal distribution of nitrogen dioxide (NO2) simulated by the chemical transport model (CTM) has been extensively evaluated with Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS). Although the ground-based observation network (i.e., AEROS system) in Japan can provide the hourly NO2 concentration, its horizontal coverage is sparse, especially over rural or remote sites. The space-based satellite measurement can provide the spatial distribution of air pollutants; however, measured values are vertically integrated concentrations. To overcome these disadvantages in existing observations, we used MAX-DOAS measurement to evaluate the model performance. The scattered sunlight observations in the UV/visible at several elevation angles between the horizon and zenith, so-called MAX-DOAS technique, can retrieve both trace gases and aerosol profiles. Total of four MAX-DOAS measurement systems located at Chiba University (35.63°N, 140.10°E, 21 m a.s.l.) are allocated to cover north, east, west, and south, and provide the horizontal distributions for the lower troposphere. By targeting the period of Chiba-Campaign 2015 conducted from 9 to 23 November 2015, here we present the detailed model evaluations on NO2 spatial and vertical distribution, and temporal variation.