Next Article in Journal
Aerosol Optical Properties of a Haze Episode in Wuhan Based on Ground-Based and Satellite Observations
Previous Article in Journal
Estimation of Emissions from Sugarcane Field Burning in Thailand Using Bottom-Up Country-Specific Activity Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

CO2 Monitoring and Background Mole Fraction at Zhongshan Station, Antarctica

1
Climate and Weather Disasters Collaborative Innovation Center, Nanjing University of Information Science & Technology, Nanjing 210044, China
2
Chinese Academy of Meteorological Sciences, Beijing 100081, China
3
College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
4
NOAA ESRL Global Monitoring Division, 325 Broadway, R/GMD, Boulder, CO 80305, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2014, 5(3), 686-698; https://doi.org/10.3390/atmos5030686
Submission received: 8 July 2014 / Revised: 12 September 2014 / Accepted: 15 September 2014 / Published: 24 September 2014

Abstract

:
Background CO2 mole fraction and seasonal variations, measured at Zhongshan station, Antarctica, for 2010 through 2013, exhibit the expected lowest mole fraction in March with a peak in November. Irrespective of wind direction, the mole fraction of CO2 distributes evenly after polluted air from station operations is removed from the data sets. The daily range of average CO2 mole fraction in all four seasons is small. The monthly mean CO2 mole fraction at Zhongshan station is similar to that of other stations in Antarctica, with seasonal CO2 amplitudes in the order of 384–392 µmol∙mol−1. The annual increase in recent years is about 2 µmol∙mol−1∙yr−1. There is no appreciable difference between CO2 mole fractions around the coast of Antarctica and in the interior, showing that CO2 observed in Antarctica has been fully mixed in the atmosphere as it moves from the north through the southern hemisphere.

Graphical Abstract

1. Introduction

CO2 is a greenhouse gas with a long life span (hundreds of years) that absorbs infrared radiation in the 12 µm to 17 µm waveband and contributes ~60% global of the greenhouse gas warming potential in the atmosphere [1,2,3]. Since the industrial revolution, the mole fraction of CO2 has been rising and has accelerated in recent years, reaching 400 µmol∙mol−1 at Mauna Loa Observatory, Hawaii, in March 2014, up from 275 µmol∙mol−1 prior to the industrial revolution [4,5,6,7]. The continuous increase in the mole fraction of all greenhouse gases has elevated atmospheric radiative forcing (climate warming potential) by 34% from 1990 to 2013 [8,9,10,11,12].
This increase is mainly caused by human activities and has attracted the attention of governments and the scientific community around the world [13,14]. Far away from major combustion sources that are the main drivers of increasing global atmospheric CO2 mole fraction, Antarctica is an ideal area for observing the background levels of greenhouse gases in the global atmosphere [15]. Through flask sampling of air collected at the South Pole station, and later lab analysis in California, Keeling et al. [16] pointed out that the mole fraction of CO2 in the Antarctic atmosphere increased by 3.7% from 1957 through 1971, at an average annual increase of 1.3 µmol∙mol−1∙yr−1, from 315 µmol∙mol−1 in 1958 to 380 µmol∙mol−1 in 2007 [17]. Morimoto et al. [18] indicated that the mole fraction of CO2 at Syowa station increased from 342 µmol∙mol−1 in 1984 to 368 µmol∙mol−1 in 2000, with an average annual increase of 1.49 µmol∙mol−1∙yr−1. Ghude et al. [19] observed that around the Antarctic Circle, over the past 22 years, the increase in the rate of CO2 mole fraction from 1992 through 2004 is 1.2 times faster than that during 1983 through 1991.
Flask sampling and lab analyses have a long history in the monitoring of greenhouse gases at Antarctic stations. As such, flask sampling frequency is usually once a week. With the support of the 4th International Polar Year (2008/2009) China Action Plan, continuous CO2 monitoring was instituted at Zhongshan Station, Antarctica, by the 24th Antarctic expedition team. In this paper, an analysis of CO2 mole fractions, measured continuously from 2010 through 2013, along with associated surface meteorological observations at Zhongshan Station, are presented and discussed.

2. Observation Point and Monitoring Instruments

2.1. Site Location

Zhongshan Station is located on the east coast of Antarctica (Figure 1). Influences from generating electricity in the main station area, transportation patterns, and other human activities were taken into consideration in selecting the site as the CO2 observation point [20], which is built on an outcropping rock in the Tian’e Range, northwest of the station (69°22′2′′S, 76°21′49′′E, 18.5 m). At this site east-northeast winds prevail all year round.

2.2. Instrumentation

A high-precision CO2/CH4/H2O analyzer (Model G1301, by Picarro, Santa Clara, California, USA) is used in the measurement of CO2 and CH4 at the Zhongshan station [21]. The instrument has a temperature and pressure control systems that maintains good linearity and accuracy when the surrounding environmental conditions change. The air inlet tubing constructed of 3/8"OD Syflex 1300 is set on the roof of the cabin at a height of 5 m above ground. Aerosol particles in the sample stream are removed with a 7 µm filter before the gas enters a KNF transfer pump. The output pressure release controller is set at 103.4 kPa (15 psi). A small secondary pressure release valve is installed behind the glass cold trap pipe to ensure to reduce the influence of air enrichment. To stabilize the air flow, a high-precision flow controller was installed before the air entering the analyzing system [22].
Figure 1. The location of other CO2 monitoring stations in Antarctica relative to Zhongshan station.
Figure 1. The location of other CO2 monitoring stations in Antarctica relative to Zhongshan station.
Atmosphere 05 00686 g001
The Picarro CO2/CH4/H2O analyzer was installed in an isolated cabin along with reference gas tanks calibrated at NOAA/ESRL on the WMO standard scale with CO2 and CH4 mole fractions close to ambient. On site, as station standard gases, three cylinders of reference gases purchased from NOAA/GMD, are used to calibrate the instrument once every three months. Two compressed air cylinders are used as target gases to check the instrument drift twice per day [23]. The 5 min standard deviation of target gases measurements are from 0.013 µmol∙mol−1 (5% percentile) to 0.052 µmol∙mol−1 (95% percentile). The instrument drifts confirmed with the calibration data and the target gases measurement are less than 0.08 µmol∙mol−1 per year. The analyzer pulled air from the inlet continuously at 300 sccm (standard cubic centimeters per minute) and measured at 0.5 Hz. The CO2 and CH4 data were corrected for water vapor using a correction that was determined using the same analyzer unit. For CO2 this calibration is consistent with the manufacturer’s correction within 0.1 µmol∙mol−1 (Picarro does not provide a correction for CH4). The correction is also consistent to within 0.1 µmol∙mol−1 for CO2 and 1 nmol∙mol−1 for CH4 with that found by another group testing the same analyzer [24]. The analysis time is 2 s per measurement with a precision of ±0.05 µmol∙mol−1 for CO2 and ±1 nmol∙mol−1 for CH4, meeting the requirements of WMO-GAW for gas analysis, calibration and classification [25].

3. Data Processing

Before processing the raw data, periods of zero gas, short-time power failures and equipment maintenance were deleted. Then the daily check value and the calibration data obtained every three months were used to correct the raw data. The hourly standard deviations of CO2 mole fraction, thus obtained, are shown in Figure 2. As seen in this figure, the distribution of the standard deviation is extremely sharp. We first rejected the hourly means with standard deviations of more than 0.1 µmol∙mol−1 within an hour. Abnormal values were then removed on the basis of the formula , where is measured value, is the mean value and σ is the standard deviation of the hourly means. After processing, 92% of the hourly mean data was retained.
Figure 2. Distribution of hourly standard deviations of CO2 mole fraction observed at Zhongshan Station for the period of 2010–2013.
Figure 2. Distribution of hourly standard deviations of CO2 mole fraction observed at Zhongshan Station for the period of 2010–2013.
Atmosphere 05 00686 g002
This processing cannot completely exclude the impact of emissions from the station area. Wind is an important factor that causes fluctuations in observation [26,27]. Ten meter wind data at Zhongshan station was used to work out the frequency, corresponding average speed and CO2 mole fraction in 16 directions. Figure 3 presents the Wind Frequency (WF), average Wind Speed (WS), and average CO2 mole fraction under each wind direction category during 2010 through 2013. From this figure, it can be observed that the prevailing winds are persistent easterly winds with 83.1%, coming from the quadrant in the ENE, E and ESE. This indicates that the observation sampling point is located well in the direction of upstream airflow. This airflow mainly comes from the Antarctic continent sea ice cover and easterly sea areas. The mole fraction of CO2 under easterly winds is 388.8 µmol∙mol−1, whereas, for westerly winds it is relatively higher at 389.3 µmol∙mol−1, followed by north (389.2 µmol∙mol−1) and south winds (389.1 µmol∙mol−1), respectively. Mole fractions in winds from other directions are within the range of 388.9–389.1 µmol∙mol−1. On the whole, the wind direction does not influence the CO2 mole fraction significantly.
Figure 3. Wind Frequency, Wind Speed and CO2 mole fractions under 16 wind directions (2010 through 2013). Scale 10–50 is used for WF and WS and Scale 386–390 for CO2.
Figure 3. Wind Frequency, Wind Speed and CO2 mole fractions under 16 wind directions (2010 through 2013). Scale 10–50 is used for WF and WS and Scale 386–390 for CO2.
Atmosphere 05 00686 g003
Figure 3 displays the WF, WS and CO2 mole fraction under different wind directions in Spring (September–November), Summer (December–February.), Autumn (March–May), and Winter (June–August) during 2010 through 2013. From Figure 4 it may be observed that there is little difference between the prevailing wind directions in the four seasons: only the frequency of NE winds increases in spring and summer. The distribution of wind speed in each season differs insignificantly from that throughout the year: the maximum wind speed appears under easterly winds of which frequency is also the highest. CO2 mole fractions are similar to each other under different wind directions, although in winds from the S-SSW the CO2 mole fraction rises in spring and reduces in summer. That may be somewhat influenced by the relatively limited samples in this wind direction. Under easterly winds, CO2 mole fractions in autumn go down slightly probably signifying the influx of northern hemisphere air or depletions of CO2 by the growth of marine plankton.
Slow and variable direction winds are not conducive to the diffusion and mixing of pollutants. As such, wind speed data from 2010 through 2013 were divided into seven groups as follow: ≤0.5 m∙s−1, 0.5–3 m∙s−1, 3–6 m∙s−1, 6–10 m∙s−1, 10–15 m∙s−1, 15–20 m∙s−1, and >20 m∙s−1. Figure 5 displays the CO2 mole fraction in each wind speed scale, where it may be observed that 94.7% of winds fall in the 0.5 m∙s−1 to 15 m∙s−1 range with only 1% of winds above 20 m∙s−1. The wind can be classified as calm at ≤0.5 m∙s−1 of which frequency of occurrence is 0.3% when the CO2 mole fraction is slightly elevated. In order to keep the background CO2 mole fraction data free from possible contaminated values, the data during calm wind condition has been removed from CO2 mole fraction analyses.
The frequency of each wind speed scale in four seasons, and the respective change in CO2 mole fractions, are shown in Figure 6. In autumn and winter, when the wind speed is ≤0.5 m∙s−1, CO2 mole fractions are unstable, which is probably caused by local influence from the station area. In spring and summer, under similar wind conditions, the CO2 mole fraction changes little. This indicates that although the CO2 observation point is only 500 m away from the station, wind speed exerts a relatively small influence on the observed CO2 mole fractions since the total emissions from the station are limited. After the processing and analysis above, 1.7% of the data was removed. Thus, the processed data may be used to represent the background CO2 mole fractions in the region.
Figure 4. WF, WS, and CO2 mole fraction under 16 wind directions in four seasons. Scale 10–50 is used for WF and WS and Scale 386–390 for CO2.
Figure 4. WF, WS, and CO2 mole fraction under 16 wind directions in four seasons. Scale 10–50 is used for WF and WS and Scale 386–390 for CO2.
Atmosphere 05 00686 g004
Figure 5. Frequency of occurrence of different wind speed scale and corresponding CO2 mole fraction (2010 through 2013). The black bars stand for frequency of occurrence. The vertical bars stand for the amplitude of CO2 mole fractions under the condition of same wind speed scale.
Figure 5. Frequency of occurrence of different wind speed scale and corresponding CO2 mole fraction (2010 through 2013). The black bars stand for frequency of occurrence. The vertical bars stand for the amplitude of CO2 mole fractions under the condition of same wind speed scale.
Atmosphere 05 00686 g005
Figure 6. Frequency of occurrence of different wind speed scales and corresponding CO2 mole fractions in four seasons at Zhongshan Station (2010 through 2013). The black bars stand for frequency of occurrence. The vertical bars stand for the amplitude of CO2 mole fractions under the condition of same wind speed scale.
Figure 6. Frequency of occurrence of different wind speed scales and corresponding CO2 mole fractions in four seasons at Zhongshan Station (2010 through 2013). The black bars stand for frequency of occurrence. The vertical bars stand for the amplitude of CO2 mole fractions under the condition of same wind speed scale.
Atmosphere 05 00686 g006

4. Background Characteristics of CO2 Mole fractions and Seasonal Variation

Monthly averaged deviations of hourly mean CO2 mole fractions from daily means at Zhongshan Station in January, April, July and October, representing four seasons respectively, are shown in Figure 7. It can be seen that the daily changes in four seasons are all quite small, and only subtle daily amplitude exists, which are 0.22 µmol∙mol−1, 0.19 µmol∙mol−1, 0.18 µmol∙mol−1 and 0.30 µmol∙mol−1, respectively. The results, therefore, suggest that there are no strong CO2 sources and diurnal changes in the characteristics of the CO2 sinks upwind of the station. This also indicates that the observation point on the east coast of Antarctica on a rocky outcropping without vegetation in summer and covered by snow in the other three seasons does not have a regional influence on the observations of background CO2.
Figure 8 displays the average monthly CO2 mole fraction month-by-month and the time sequence of minimum and maximum CO2 values from 2010 through 2013 at Zhongshan Station. From this figure, the average monthly mole fraction changes exhibit a seasonal pattern as well as a steady increase in background CO2 mole fractions. The amplitude of CO2 mole fractions variability is higher in the austral summer. Similar phenomenon has been found at the Syowa and South Pole Stations, that is related to the large-scale transport of CO2-depleted air masses to the Antarctic Continent [17]. From Figure 9, it can be seen that the seasonal variation of CO2 mole fractions at Zhongshan reaches a minimum in March with a peak in November. As such, from Austral autumn through winter into spring (March-November), the cycle period for CO2 mole fractions is largest while the CO2 cycle in spring is noticeably slower than that in autumn and winter. Summer (December-March) is the period when the mole fractions are the lowest.
Figure 7. Monthly averaged deviations of hourly mean CO2 mole fractions from daily means at Zhongshan Station in January, April, July and October. The mole fraction is averaged over 2011–2012. Vertical bars represent the standard deviations.
Figure 7. Monthly averaged deviations of hourly mean CO2 mole fractions from daily means at Zhongshan Station in January, April, July and October. The mole fraction is averaged over 2011–2012. Vertical bars represent the standard deviations.
Atmosphere 05 00686 g007
Figure 8. Average monthly CO2 mole fraction at Zhongshan Station and the time sequence of its maximum and minimum values indicated by the red/blue lines (2010 through 2013). The vertical bars stand for the amplitude of CO2 mole fractions variability of every month, which is higher in the austral summer.
Figure 8. Average monthly CO2 mole fraction at Zhongshan Station and the time sequence of its maximum and minimum values indicated by the red/blue lines (2010 through 2013). The vertical bars stand for the amplitude of CO2 mole fractions variability of every month, which is higher in the austral summer.
Atmosphere 05 00686 g008
In order to separate the long-term trend from the data set after processing, a digital filtering technique was applied to the daily mean CO2 data to obtain the curve fit. Details of this fitting procedure have been presented by Nakazawa et al. [28]. Figure 9 shows the long-trend of the CO2 mole fraction at Zhongshan Station from 2010 through 2013. It can be seen that the CO2 mole fraction increased year by year from about 384 µmol∙mol−1 in 2010 to 393 µmol∙mol−1 in 2013.
Figure 9 shows the upward trend of CO2 mole fraction during 2010 through 2013. To analyze the trend of CO2 mole fraction in different seasons, Table 1 presents average mole fraction and increases in four seasons. In each season, the average mole fraction is increasing year-by-year; the increase in winter is the highest at 0.57% on average, followed by that in spring and autumn at 0.56%, and the rate in summer is the lowest at 0.50%. The data presented in Table 1 initially suggest that the mole fraction of CO2 measured at Zhongshan Station is increasing annually at an accelerating rate.
Figure 9. Long-term trend (dotted line) of the CO2 mole fraction at Zhongshan Station (2010 through 2013).
Figure 9. Long-term trend (dotted line) of the CO2 mole fraction at Zhongshan Station (2010 through 2013).
Atmosphere 05 00686 g009
Table 1. Average CO2 mole fraction (µmol∙mol−1; upper portion of the graph) and increase (lower portion of the graph) in four Seasons at Zhongshan Station.
Table 1. Average CO2 mole fraction (µmol∙mol−1; upper portion of the graph) and increase (lower portion of the graph) in four Seasons at Zhongshan Station.
YearSpringSummerAutumnWinter
2010387.32384.86384.94386.30
2011388.93386.56386.86387.90
2012391.20388.66388.87390.17
2013393.87390.99391.45392.95
2010–20110.42%0.44%0.50%0.41%
2011–2012 0.58% 0.46% 0.52% 0.58%
2012–20130.68%0.60%0.66%0.71%
In order to evaluate the representativeness of data observed on-line at Zhongshan Station, data of different stations from the World Data Centre for Greenhouse Gases (WDCGG)) [29] have been compared as presented in Figure 10. The selected stations are Casey (66.28°S, 110.53°E), Syowa (69°S, 39.6°E), Palmer (64.92°S, 64°W), South Pole (90°S, 24.8°W) and Halley (75.6°S, 26.5°W). Their geographic locations are shown in Figure 1. Flask sampling and subsequent lab analysis are used to obtain the data for these five stations from 2010 through 2012. The monthly means derived from in situ measurements are more precise [30,31].
It can be seen from Figure 10 that CO2 mole fractions observed at Zhongshan Station are quite similar to those measured at other stations around Antarctica; station records show similar ranges, all falling between 384 and 392 µmol∙mol−1. The peak of CO2 mole fraction is at Casey Station (391.7 µmol∙mol−1) and the maximum at Zhongshan Station is 391.3 µmol∙mol−1 while the lowest value occurs at Halley Station (384.5 µmol∙mol−1) and the minimum at Zhongshan Station is 384.7 µmol∙mol−1. Table 2 shows that the difference in average annual CO2 mole fraction between each station is less than 1 µmol∙mol−1, and the interannual variation of all stations presents a clear upward trend of 1.5–2.2 µmol∙mol−1∙yr−1, indicating that there is little difference in spatial distribution of CO2 mole fractions in the Antarctic area. The average annual mole fraction and increase of CO2 at Zhongshan Station are close to those at other stations, suggesting that CO2 data at this station is representative of the background characteristics of atmospheric composition in Antarctica.
Figure 10. Time sequence of average monthly CO2 mole fraction at each CO2 monitoring station in Antarctica.
Figure 10. Time sequence of average monthly CO2 mole fraction at each CO2 monitoring station in Antarctica.
Atmosphere 05 00686 g010
Table 2. Average annual CO2 mole fraction (µmol∙mol−1; upper) and its increase at each station (lower).
Table 2. Average annual CO2 mole fraction (µmol∙mol−1; upper) and its increase at each station (lower).
YearCaseyPalmerSouth PoleHalleySyowaZhongshan
2010386.61386.44386.40386.31386.33386.27
2011387.95387.94388.04387.95387.92387.80
2012390.14390.14390.08390.12389.99389.92
2010–20111.54 (0.40%)1.50 (0.39%)1.64 (0.42%)1.64 (0.40%)1.59 (0.41%)1.53 (0.40%)
2011–20122.19 (0.56%)2.20 (0.57%)2.04 (0.53%)2.17 (0.53%)2.07 (0.54%)2.12 (0.55%)

5. Summary and Conclusions

The mole fraction of CO2 observed at Zhongshan Station is only slightly affected by wind direction and speed. Local pollution from the station under westerly and calm winds accounted for only 1.7% of the total measurement period. Once this contamination is removed from the data set, the CO2 observations can be used to represent the background mole fraction of CO2 measured on the east coast of the Antarctic continent.
The average daily range of CO2 mole fraction in all four seasons is small: 0.22 µmol∙mol−1 (January), 0.19 µmol∙mol−1 (April), 0.18 µmol∙mol−1 (July) and 0.30 µmol∙mol−1 (October) respectively. The seasonal variation of CO2 mole fraction at Zhongshan Station reaches the minimum in March after which it begins to rise constantly to the peak in November.
The monthly mean CO2 mole fraction measured at Zhongshan station is similar to that of other stations in Antarctica, and their annual amplitudes are all within the range of 384-392 µmol∙mol−1 during the period 2010–2013. The annual increase in recent years is about 2 µmol∙mol−1∙yr−1. There is no significant difference in the mole fractions of CO2 measured around the coast of the Antarctic continent showing that the CO2 observed in Antarctica has been fully mixed in the atmosphere and has not been greatly affected by local environments once obvious pollution from station activities is removed. Many of the Antarctic CO2 measurement records are from flask samples taken at intervals of a week or longer. The continuous CO2 measurements at Zhongshan station will be maintained for the foreseeable future and compared to data from other Antarctic stations to ensure the Zhongshan measurements maintain their accuracy and consistency. The continuous data will also be used to study possible scientific benefits of continuous CO2 measurements compared to flask data and possible measurement of CO2 uptake by biological processes in the high primary production Antarctic waters.

Acknowledgments

This work was supported by the Program of China Polar Environment Investigation and Assessment (Project No. CHINARE2011–2015), the authors appreciate the assistance of all staff wintered in Zhongshan station during the data collection.

Author Contributions

Lingen Bian supervised the research. Jie Tang and Chang Lu were involved in the data analysis. Russell. C. Schnell corrected mistakes and edited the paper. All of authors contributed to the discussion of the results. Yulong Sun and Lingen Bian wrote the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Climate Change 2013: The Physical Science Basis. Working Group I Contribution to the IPCC Fifth Assessment Report. Available online: http://www.climatechange2013.org/ (accessed on 18 September 2014).
  2. Ramanathan, V.; Cicerone, R.J.; Singh, H.B.; Kiehl, J.T. Trace gas trends and their potential role in climate change. J. Geophys. Res.: Atmos. 1985, 90, 5547–5566. [Google Scholar]
  3. Rastogi, M.; Singly, S.; Pathak, H. Emission of carbon dioxide from soil. Curr. Sci. 2002, 82, 510–517. [Google Scholar]
  4. Macdougall, A.H.; Eby, M.; Weaver, A.J. If anthropogenic CO2 emissions cease, will atmospheric CO2 concentration continue to increase? J. Clim. 2013, 26, 9563–9576. [Google Scholar] [CrossRef]
  5. Wang, W.C.; Yung, Y.L.; Lacis, A.A.; Mo, T.; Hansen, J.E. Greenhouse effects due to man-made perturbations of trace gases. Science 1976, 194, 685–690. [Google Scholar] [PubMed]
  6. Joshua, S. Global change: Nice, microbes and methane. Nature 2000, 403, 375–377. [Google Scholar] [PubMed]
  7. WMO. Greenhouse Gas Bulletin: The State of Greenhouse Gases in the Atmosphere Using Global Observations through 2012; WMO: Geneva, Switzerland, 2013. [Google Scholar]
  8. Houghton, R.A. Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000. Tellus B 2003, 55, 378–390. [Google Scholar] [CrossRef]
  9. Andreae, M.O.; Merlet, P. Emission of trace gases and aerosols from biomass burning. Glob. Biogeochem. Cycles 2001, 15, 955–966. [Google Scholar] [CrossRef]
  10. Caillon, N.; Severinghaus, J.P.; Jouzel, J.; Barnola, J.; Kang, J.; Lipenkov, V.Y. Timing of atmospheric CO2 and Antarctic temperature changes across Termination III. Science 2003, 299, 1728–1731. [Google Scholar]
  11. Zhou, L.X.; Zhou, X.J.; Zhang, X.C.; Wen, Y.P.; Yan, P. Progress in the study of background greenhouse gases at Waliguan observatory. Acta Meteorol. Sin. 2007, 65, 458–468. (in Chinese). [Google Scholar]
  12. Agee, E.; Orton, A.; Rogers, J. CO2 snow deposition in Antarctica to curtail anthropogenic global warming. J. Appl. Meteorol. Climatol. 2013, 52, 281–288. [Google Scholar] [CrossRef]
  13. WMO. Strategy for the Implementation of the Global Atmosphere Watch Programme (2001–2007),a Contribution to the Implementation of the WMO Long-Term Plan; GAW NO.142; WMO: Geneva, Switzerland, 2001. [Google Scholar]
  14. Komhyr, W.D.; Gammon, R.H.; Harris, T.B.; Waterman, L.S.; Conway, T.J.; Taylor, W.R.; Thoning, K.W. Global atmospheric CO2 distribution and variations from 1968–1982 NOAA/GMCC CO2 flask sample data. J. Geophys. Res. 1985, 90, 5567–5596. [Google Scholar] [CrossRef]
  15. Lai, X. Analysis of the Background Concentrations of Atmospheric Composition in Polar Regions; Academy of Meteorological Sciences: Beijing, China, 2012. [Google Scholar]
  16. Keeling, C.D.; Adams, J.A.J.; Ekdahl, C.A.J.; Guenther, P.R. Atmospheric carbon dioxide variations at the South Pole. Tellus 1976, 28, 552–564. [Google Scholar] [CrossRef]
  17. Atmospheric Carbon Dioxide Record from the South Pole. Available online: http://cdiac.ornl.gov/trends/co2/sio-spl.html (accessed on 22 September 2014).
  18. Morimoto, S.; Nakazawa, T.; Aoki, S.; Hashide, G.; Yamanouchi, T. Concentration variations of atmospheric CO2 observed at Syowa Station, Antarctica from 1984 to 2000. Tellus B 2003, 55, 170–177. [Google Scholar] [CrossRef]
  19. Ghude, S.D.; Jain, S.L.; Arya, B.C. Temporal evolution of measured climate forcing agents at South Pole, Antarctica. Curr. Sci. 2009, 96, 49–57. [Google Scholar]
  20. Wang, Y.T.; Bian, L.G.; Ma, Y.F.; Tang, J.; Zhang, D.Q.; Zheng, X.D. Surface ozone monitoring and background characteristics at Zhongshan Station over Antarctica. Chin. Sci. Bull. 2011, 56, 1011–1019. [Google Scholar] [CrossRef]
  21. Crosson, E.R. A cavity ring-down analyzer for measuring atmospheric levels of methane, carbon dioxide, and water vapor. Appl. Phys. B 2008, 92, 403–408. [Google Scholar] [CrossRef]
  22. Fang, S.X.; Zhou, L.X.; Zang, K.P.; Wang, W.; Xu, L.; Zhang, F.; Yao, B.; Liu, L.X.; Wen, M. Measurement of atmospheric CO2 mixing ratio by cavity ring-down spectroscopy (CRDS) at the 4 background stations in China. Acta Sci. Circumst. 2011, 31, 624–629. (in Chinese). [Google Scholar]
  23. Anna, K.; Colm, S.; Pieter, T.; Timothy, N. AirCore: An innovative atmospheric sampling system. J. Atmos. Ocean. Technol. 2010, 27, 1839–1853. [Google Scholar] [CrossRef]
  24. Chen, H.; Winderlich, J.; Gerbig, C. High-accuracy continuous airborne measurements of greenhouse gases (CO2 and CH4) using the cavity ring-down spectroscopy (CRDS) technique. Atmos. Meas. Tech. 2010, 3, 375–386. [Google Scholar] [CrossRef]
  25. Rella, C. Accurate Greenhouse Gas Measurements in Humid Gas Streams Using the Picarro G1301 Carbon Dioxide/Methane/Water Vapor Gas Analyzer; White Paper; Picarro Inc.: Sunnyvale, CA, USA, 2010. [Google Scholar]
  26. Zhou, L.X.; Wen, Y.P.; Li, J.L.; Tang, J.; Zhang, X.C. Impact of local surface winds on atmospheric methane background concentration at Mt.Waliguan. J. Appl. Meteorol. Sci. 2004, 15, 257–265. (in Chinese). [Google Scholar]
  27. Zhou, L.X.; Tang, J.; Wen, Y.P.; Zhang, X.C. Impact of local surface wind on atmospheric carbon dioxide background concentration at Mt.Waliguan. Acta Sci. Circumst. 2002, 22, 135–139. (in Chinese). [Google Scholar]
  28. Nakazawa, T.; Ishizawa, M.; Higuchi, K.A.Z. Two curve fitting methods applied to CO2 flask data. Environmetrics 1997, 8, 197–218. [Google Scholar] [CrossRef]
  29. Global Atmosphere Watch. Available online: http://ds.data.jma.go.jp/gmd/wdcgg/cgi-bin/wdcgg/catalogue.cgi (accessed on 22 September 2014).
  30. Tans, P.P.; Thoning, K.W.; Elliott, W.P.; Conway, T.J. Error estimates of background atmospheric CO2 patterns from weekly flask samples. J. Geophys. Res.: Atmos. 1990, 95, 14063–14070. [Google Scholar]
  31. Komhyr, W.D.; Waterman, L.S.; Taylor, W.R. Semiautomatic nondispersive infrared analyzer apparatus for CO2 air sample analyses. J. Geophys. Res.: Atmos. 1983, 88, 1315–1322. [Google Scholar]

Share and Cite

MDPI and ACS Style

Sun, Y.; Bian, L.; Tang, J.; Gao, Z.; Lu, C.; Schnell, R.C. CO2 Monitoring and Background Mole Fraction at Zhongshan Station, Antarctica. Atmosphere 2014, 5, 686-698. https://doi.org/10.3390/atmos5030686

AMA Style

Sun Y, Bian L, Tang J, Gao Z, Lu C, Schnell RC. CO2 Monitoring and Background Mole Fraction at Zhongshan Station, Antarctica. Atmosphere. 2014; 5(3):686-698. https://doi.org/10.3390/atmos5030686

Chicago/Turabian Style

Sun, Yulong, Lingen Bian, Jie Tang, Zhiqiu Gao, Changgui Lu, and Russell C. Schnell. 2014. "CO2 Monitoring and Background Mole Fraction at Zhongshan Station, Antarctica" Atmosphere 5, no. 3: 686-698. https://doi.org/10.3390/atmos5030686

APA Style

Sun, Y., Bian, L., Tang, J., Gao, Z., Lu, C., & Schnell, R. C. (2014). CO2 Monitoring and Background Mole Fraction at Zhongshan Station, Antarctica. Atmosphere, 5(3), 686-698. https://doi.org/10.3390/atmos5030686

Article Metrics

Back to TopTop