Japan Geoscience Union Meeting 2024

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG35] Global Carbon Cycle Observation and Analysis

Tue. May 28, 2024 10:45 AM - 12:00 PM 301A (International Conference Hall, Makuhari Messe)

convener:Kazuhito Ichii(Chiba University), Prabir Patra(Principal Scientist at Research Institute for Global Change, JAMSTEC and Professor at Research Institute for Humanity and Nature), Akihiko Ito(University of Tokyo), Chairperson:Akihiko Ito(University of Tokyo)

11:15 AM - 11:30 AM

[ACG35-09] Estimation of NOx/CO2 emissions based on space-based NO2 and CO2 observations over India using regional model WRF-GHG/Chem

*Jagat Bisht1, Prabir Patra1, Masayuki Takigawa1, Masahiro Yamaguchi2, Yugo Kanaya1, Takashi Sekiya1, Hiroshi Tanimoto2 (1.Japan Agency for Marine-Earth Science and Technology , 2.National Institute for Environmental Studies)

Carbon dioxide (CO2) is a major greenhouse gas (GHG) in the Earth’s atmosphere which continues increasing mainly due to fossil fuel combustion. Since fossil fuel combustion at high temperatures produces nitrogen monoxide (NO) as a byproduct, which rapidly reacts with Ozone (O3) to form Nitrogen dioxide (NO2), the presence of NO2 near emission sources serves as a suitable tracer for freshly emitted CO2. In this study, we seek to use the available observation of CO2and NO2 to estimate CO2 emissions. This study performed a coupled modeling with WRF full chemistry (WRF-Chem) and GHG together (hereafter referred as WRF-Chem/GHG) over India during January 2022 to simulate both CO2 and NO2 concentrations. Simulations are performed in two-way nested setting (27 km and 9 km) with EDGAR (v6.1 for air pollutants and v7 for GHG) anthropogenic emission inventories. We evaluated the model performances with TROPOMI (TROPOspheric Monitoring Instrument) tropospheric NO2 column amount and estimate NOx fluxes inside the 9 km domain. The top-down NOx emission estimate suggests that EDGAR anthropogenic emission inventory overestimated the NOx emissions by 22% over Indo-Gangetic plane. Our aim is to estimate the CO2 emission by using CO2 concentration observations from the satellites such as, GOSAT and OCO-2, and in-situ observations and utilize NO2 emission information corresponding to co-located emission sources from the facilities such as power plant, automobile traffic, residential facility, etc. This study anticipates the observation datasets from future satellites, such as GOSAT-GW, for simultaneous NO2/CO2 observations.