Japan Geoscience Union Meeting 2022

Presentation information

[E] Oral

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

[A-CG37] Global Carbon Cycle Observation and Analysis

Thu. May 26, 2022 9:00 AM - 10:30 AM 202 (International Conference Hall, Makuhari Messe)

convener:Kazuhito Ichii(Chiba University), convener:Prabir Patra(Research Institute for Global Change, JAMSTEC), Akihiko Ito(National Institute for Environmental Studies), convener:Forrest M. Hoffman(Oak Ridge National Laboratory), Chairperson:Kazuhito Ichii(Chiba University)

9:30 AM - 9:45 AM

[ACG37-03] CO2 simulation over Kanto region using WRF-GHG high-resolution model

*Jagat Bisht1, Masahiro Yamaguchi1, Masayuki Takigawa1, Prabir Patra1, Yugo Kanaya1 (1.Japan Agency for Marine-Earth Science and Technology )

Keywords:WRF-GHG, CO2, NO2

Carbon dioxide (CO2) is a well-mixed and major greenhouse gas (GHG) in the Earth’s atmosphere which consists of both anthropogenic and natural sources. The high-resolution modeling frameworks better represent the topographic complexity, synoptic weather condition, and sub-grid scale transport that affect atmospheric CO2 distribution. This study simulates CO2 using Weather Research and Forecasting coupled with GHG modules over the Kanto region in Japan with a 1 km spatial resolution using a 4-level two-way nested setting starting from a 27-km resolution (27 km, 9 km, 3 km, and 1 km). We compared the WRF-GHG simulation results with hourly in-situ observations at Kisai and Mt. Dodaira in Saitama Prefecture, and found reasonable agreement between model simulations and observations (correlation coefficient > 0.50). Our analysis suggests the anthropogenic CO2 emission dominance over the in-situ observations sites in the Kanto region, particularly in the winter months. We have also shown the NO2 simulation from WRF-chem for short-lived species with a similar model configuration as our WRF-GHG simulation. NO2 has a lifetime on the order of hours which co-emits with CO2 when fossil fuels are combusted at high temperatures. Covariation analysis of NO2 and CO2 is suitable to identify freshly emitted CO2. We found a very strong correlation (correlation coefficient > 0.75) between observed CO2 and NO2, and also between observed CO2 and simulated NO2 concentrations. The lower correlation between model and observed CO2, compared to observed CO2 and NO2, suggests that the sources of anthropogenic CO2 require improvements.

Acknowledgements
We thank the Center for Environmental Science in Saitama for collecting and sharing continuous CO2 measurements via WDCGG. The NO2 data are from the AEROS (Atmospheric Environmental Regional Observation System) of Ministry of the Environment of Japan shared via NIES (National Institute for Environmental studies).