Background Level of Atmospheric Radon-222 Concentrations at Gosan Station, Jeju Island, Korea in 2011

Kim, Won-Hyung; Ko, Hee-Jung; Hu, Chul-Goo; Lee, Haeyoung; Lee, Chulkyu; Chambers, Scott D.; Williams, Alastair G.; Kang, Chang‐Hee

doi:10.5012/bkcs.2014.35.4.1149

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…These different impacts on atmospheric chemistry cannot be tested with a passive tracer such as SF 6 . Thus, we analyse now the impact of changes in the LMDz model on atmospheric methane (CH 4 ), a long-lived reactive greenhouse gas, which is mainly oxidized by hydroxyl radical (OH) in the troposphere (Kirschke et al, 2013). We ran simulations with the different configurations of LMDz to test this question.…”

Section: Reactive Speciesmentioning

confidence: 99%

“…To date, considerable uncertainty remains regarding the annual global terrestrial CO 2 sink (Ciais et al, 2013), and a consensus has yet to be reached on the cause of recent increases of atmospheric methane (Rigby et al, 2008;Bousquet et al, 2011;Kai et al, 2011;Aydin et al, 2011;Levin et al, 2012). Indeed, large uncertainties still exist in the estimates of major methane sources and sinks (Kirschke et al, 2013;Ciais et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Locatelli et al (2013) showed that deficiencies in CTM simulations of atmospheric methane are responsible for errors in inverse estimates increasing from 5 % at the global scale to 150 % at model resolution (∼ 300 km × 300 km). These two studies and others (Chevallier et al, 2010;Houweling et al, 2010;Kirschke et al, 2013) have pointed out that the skills of CTMs require urgent improvements to reduce uncertain-ties in trace gas source/sink estimates and take full advantage of the available and increasing data.…”

Section: Introductionmentioning

confidence: 99%

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Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

et al. 2015

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Representation of atmospheric transport is a major source of error in the estimation of greenhouse gas sources and sinks by inverse modelling. Here we assess the impact on trace gas mole fractions of the new physical parameterizations recently implemented in the atmospheric global climate model LMDz to improve vertical diffusion, mesoscale mixing by thermal plumes in the planetary boundary layer (PBL), and deep convection in the troposphere. At the same time, the horizontal and vertical resolution of the model used in the inverse system has been increased. The aim of this paper is to evaluate the impact of these developments on the representation of trace gas transport and chemistry, and to anticipate the implications for inversions of greenhouse gas emissions using such an updated model. Comparison of a one-dimensional version of LMDz with large eddy simulations shows that the thermal scheme simulates shallow convective tracer transport in the PBL over land very efficiently, and much better than previous versions of the model. This result is confirmed in three-dimensional simulations, by a much improved reproduction of the radon-222 diurnal cycle. However, the enhanced dynamics of tracer concentrations induces a stronger sensitivity of the new LMDz configuration to external meteorological forcings. At larger scales, the inter-hemispheric exchange is slightly slower when using the new version of the model, bringing them closer to observations. The increase in the vertical resolution (from 19 to 39 layers) significantly improves the representation of stratosphere/troposphere exchange. Furthermore, changes in atmospheric thermodynamic variables, such as temperature, due to changes in the PBL mixing modify chemical reaction rates, which perturb chemical equilibriums of reactive trace gases. One implication of LMDz model developments for future inversions of greenhouse gas emissions is the ability of the updated system to assimilate a larger amount of high-frequency data sampled at high-variability stations. Others implications are discussed at the end of the paper

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Section: Reactive Speciesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

et al. 2015

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“…초부터 지속적으로 대기 라돈 배경농도를 모니터링해 오고 있다 (Kim et al, 2014;Ko et al, 2013 (Pitari et al, 2014;Zoran et al, 2013;Chan et al, 2010). Kim et al, 2007; 2) Chambers et al, 2009; 3) Chambers et al, 2013;4) Chan et al, 2010;5) Pitari et al, 2014;6) Zoran et al, 2013. 결과와 비슷한 변화 패턴을 보이고 있다 (Kang et al, 2012).…”

Section: 국내에서는 Ansto와 공동연구를 통해 청정지역인 제주도 고산관측소에 라돈검출기를 설치하여 2001년unclassified

Background Level and Time Series Variation of Atmospheric Radon Concentrations at Gosan Site in Jeju Island

Song¹,

Bu²,

Kim³

et al. 2017

Journal of Korean Society for Atmospheric Environment

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“…While pollution has been monitored at Gosan for over two decades (Kim et al, 1995;Carmichael et al, 1997;Park et al, 2004;Kang et al, 2009;Kim et al, 2014b), here we consider only the initial decade of overlapping radon and trace gas observations (Jan 2001-Dec 2010.…”

Section: Pollution and Climatology Observationsmentioning

confidence: 99%

Improving the Representation of Cross-Boundary Transport of Anthropogenic Pollution in East Asia Using Radon-222

Chambers

Kang

Williams

et al. 2016

Aerosol Air Qual. Res.

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We report on 10 years of hourly atmospheric radon, CO, and SO 2 observations at Gosan Station, Korea. An improved radon detector was installed during this period and performance of the detectors is compared. A technique is developed whereby the distribution of radon concentrations from a fetch region can be used to select air masses that have consistently been in direct contact with land-based emissions, and have been least diluted en route to the measurement site. Hourly radon concentrations are used to demonstrate and characterise contamination of remote-fetch pollution observations by local emissions at this key WMO GAW site, and a seasonally-varying 5-hour diurnal sampling window is proposed for days on which diurnal cycles are evident to minimise these effects. The seasonal variability in mixing depth and "background" pollutant concentrations are characterised. Based on a subset of observations most representative of the important regional fetch areas for this site, and least affected by local emissions, seasonal estimates of CO and SO 2 in air masses originating from South China, North China, Korea and Japan are compared across the decade of observations.

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Background Level of Atmospheric Radon-222 Concentrations at Gosan Station, Jeju Island, Korea in 2011

Cited by 9 publications

References 16 publications

Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

Background Level and Time Series Variation of Atmospheric Radon Concentrations at Gosan Site in Jeju Island

Improving the Representation of Cross-Boundary Transport of Anthropogenic Pollution in East Asia Using Radon-222

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