Abstract

<strong class="journal-contentHeaderColor">Abstract.</strong> To quantify CH<sub>4</sub> emissions at policy-relevant spatial scales, the Korea Meteorological Administration (KMA) started monitoring its atmospheric levels in 1999 at Anmyeondo (AMY), and expanded monitoring to Jeju Gosan Suwolbong (JGS) and Ulleungdo (ULD) in 2012. The monitoring system consists of a Cavity Ring Down Spectrometer (CRDS) and a new cryogenic drying method, with a measurement uncertainty (68 % c.i.) of 0.7&ndash;0.8 ppb. To determine the regional characteristics of CH<sub>4</sub> at each KMA station, we assessed the CH<sub>4</sub> level relative to local background (CH<sub>4xs</sub>), analyzed local surface winds and CH<sub>4</sub> with bivariate polar plots, and investigated CH<sub>4</sub> diurnal cycles. We also compared the CH<sub>4</sub> levels measured at KMA stations with those measured at the Mt. Waliguan (WLG) station in China and Ryori (ROY) station in Japan. CH<sub>4xs</sub> followed the order AMY (55.3&plusmn;37.7 ppb) &gt; JGS (24.1&plusmn;10.2 ppb) &gt; ULD (7.4&plusmn;3.9 ppb). Although CH<sub>4</sub> was observed in well mixed air at AMY, it was higher than at other KMA stations, indicating that it was affected not only by local sources but also by distant air masses. Annual mean CH<sub>4</sub> was highest at AMY among all East Asian stations, while its seasonal amplitude was smaller than at JGS, which was strongly affected in the summer by local biogenic activities. From the long-term records at AMY, we confirmed that the source of CH<sub>4xs</sub> changed from the past (2006 to 2010) to recent (2016 to 2020) years in East Asia. Especially in northern China, CH<sub>4xs</sub> was mainly attributed to fossil fuel combustion or biomass burning during 2006&ndash;2010, but mainly to biogenic activities during 2016&ndash;2020, as indicated by decreasing &delta;<sup>13</sup>CH<sub>4</sub> from the northern China. CH<sub>4</sub> emissions in the southern part of China and in South Korea were enhanced by biogenic signals during 2016&ndash;2020. We confirmed that long-term high-quality data can help understand changes in CH<sub>4</sub> emissions in East Asia.

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