Japan Geoscience Union Meeting 2018

Presentation information

[EE] Poster

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

[A-AS01] High performance computing for next generation weather, climate, and environmental sciences

Sun. May 20, 2018 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Hiromu Seko(Meteorological Research Institute), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(独立行政法人海洋研究開発機構, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science)

[AAS01-P04] Analysis of high Radon-222 concentration events using NICAM

★Invited Papers

*Kentaro Ishijima1, Masayuki Takigawa1, Yousuke Yamashita1, Hisashi Yashiro2, Chihiro Kodama1, Masaki Satoh3,1, Kazuhiro Tsuboi4, Hidekazu Matsueda4, Yosuke Niwa4, Shigekazu Hirao5 (1.JAMSTEC, 2.RIKEN AICS, 3.AORI, The University of Tokyo, 4.Meteorological Research Institute, 5.Institute of Environmental Radioactivity at Fukushima University)

Keywords:NICAM, Radon-222, Event

Low pressure systems and accompanied frontal activity play important roles for transportation of atmospheric components such as air pollutants, greenhouse gases, and aerosols. In East Asian region, when cold front actively develops in the southeast of Japan over the Pacific in winter to spring, atmospheric pollutants, emitted from continental sources, are drawn along the front by the low-pressure system. During the front is passing over a monitoring station, sometimes dense pollutants trapped behind the frontal zone are detected as the high concentration value. In this study, we analyze such high concentration events of atmospheric Radon-222 (222Rn) observed and simulated by a Nonhydrostatic Icosahedral Atmospheric Model (NICAM). Spatiotemporal 222Rn variations in the events are compared between the observations and simulations by NICAM with three different horizontal resolutions of 223, 56, and 14 km (hereafter referred as d223, d56, d14, respectively). To evaluate the impact of synoptic atmospheric variability on 222Rn concentration, monthly-mean emissions are used for the simulations.
Frequency of the occurrence of high 222Rn events at the monitoring stations on remote islands in both hemispheres are comparable between the observations and models. Seasonal changes of the frequency are also well reproduced by models, with the correlation coefficients almost exceeding 0.6. These results imply that NICAM is capable of simulating synoptic atmospheric fluctuations for 222Rn transport. Temporal changes of 222Rn around the event are reasonably simulated by d56 and d14, but d223 cannot reproduce the peak sharpness observed, due to the coarse horizontal resolution. Meridional distributions of 222Rn and equivalent potential temperature around the stations for the event time show comparable gradients in d56 and d14, especially indicating tight trapping of 222Rn behind the front at a station in the southeast of Japan. On the other hand, less enhancement of 222Rn, by up to 20 %, accompanied by the milder slopes on the both sides around the station are seen for d223. Throughout analyses of high 222Rn events in this study, d56 and d14 show comparable performance, also mostly reproducing the observed temporal variability. Although there is no observation data to validate spatial distribution of 222Rn around cold front, it is probably reasonable from our analysis that the horizontal resolution of better than 50-60km is required for simulating atmospheric 222Rn variations.