Results of a long-term international comparison of greenhouse gas and isotope measurements at the Global Atmosphere Watch (GAW) Observatory in Alert, Nunavut, Canada

被引:3
作者
Worthy, Douglas E. J. [1 ]
Rauh, Michele K. [1 ]
Huang, Lin [1 ]
Vogel, Felix R. [1 ]
Chivulescu, Alina [1 ]
Masarie, Kenneth A. [2 ]
Langenfelds, Ray L. [3 ]
Krummel, Paul B. [3 ]
Allison, Colin E. [3 ]
Crotwell, Andrew M. [4 ,9 ]
Madronich, Monica [4 ,9 ]
Petron, Gabrielle [4 ,9 ]
Levin, Ingeborg [5 ]
Hammer, Samuel [5 ]
Michel, Sylvia [6 ]
Ramonet, Michel [7 ]
Schmidt, Martina [5 ,7 ]
Jordan, Armin [8 ]
Moossen, Heiko [8 ]
Rothe, Michael [8 ]
Keeling, Ralph [10 ]
Morgan, Eric J. [10 ]
机构
[1] Environm & Climate Change Canada ECCC, Climate Res Div, Toronto, ON, Canada
[2] Skydata Solut LLC, Boulder, CO USA
[3] Commonwealth Sci & Ind Res Org CSIRO, Environm, Aspendale, Vic, Australia
[4] Univ Colorado, Cooperat Inst Res Environm Sci CIRES, Boulder, CO USA
[5] Heidelberg Univ, Inst Umweltphys UHEI IUP, Heidelberg, Germany
[6] Univ Colorado, Inst Arctic & Alpine Res INSTAAR, Boulder, CO USA
[7] Lab Sci Climat & Environm LSCE, Gif Sur Yvette, France
[8] Max Planck Inst Biogeochem MPI BGC, Jena, Germany
[9] NOAA, Earth Syst Res Lab, Boulder, CO USA
[10] Scripps Inst Oceanog SIO, La Jolla, CA USA
关键词
CARBON-DIOXIDE DATA; CO2; AIR; TRANSPORT; DELTA-O-18; VARIABILITY; DELTA-C-13; STRATEGY; EXCHANGE; OXYGEN;
D O I
10.5194/amt-16-5909-2023
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Since 1999, Environment and Climate Change Canada (ECCC) has been coordinating a multi-laboratory comparison of measurements of long-lived greenhouse gases in whole air samples collected at the Global Atmosphere Watch (GAW) Alert Observatory located in the Canadian High Arctic (82 circle 28 ' N, 62 circle 30 ' W). In this paper, we evaluate the measurement agreement of atmospheric CO 2 , CH 4 , N 2 O, SF 6 , and stable isotopes of CO 2 ( delta 13 C, delta 18 O) between leading laboratories from seven independent international institutions. The measure of success is linked to target goals for network compatibility outlined by the World Meteorological Organization's (WMO) GAW greenhouse gas measurement community. Overall, based on similar to 8000 discrete flask samples, we find that the co-located atmospheric CO 2 and CH 4 measurement records from Alert by CSIRO, MPI-BGC, SIO, UHEI-IUP, and ECCC versus NOAA (the designated reference laboratory) are generally consistent with the WMO compatibility goals of +/- 0.1 ppm CO 2 and +/- 2 ppb CH 4 over the 17-year period (1999-2016), although there are periods where differences exceed target levels and persist as systematic bias for months or years. Consistency with the WMO goals for N 2 O, SF 6 , and stable isotopes of CO 2 ( delta 13 C, delta 18 O) has not been demonstrated. Additional analysis of co-located comparison measurements between CSIRO and SIO versus NOAA or INSTAAR (for the isotopes of CO 2 ) at other geographical sites suggests that the findings at Alert for CO 2 , CH 4 , N 2 O, and delta 13 C-CO 2 could be extended across the CSIRO, SIO, and NOAA observing networks. The primary approach to estimate an overall measurement agreement level was carried out by pooling the differences of all individual laboratories versus the designated reference laboratory and determining the 95th percentile range of these data points. Using this approach over the entire data record, our best estimate of the measurement agreement range is - 0.51 to + 0.53 ppm for CO 2 , - 0.09 parts per thousand to + 0.07 parts per thousand for delta 13 C, - 0.50 parts per thousand to + 0.58 parts per thousand for delta 18 O, - 4.86 to + 6.16 ppb for CH 4 , - 0.75 to + 1.20 ppb for N 2 O, and - 0.14 to + 0.09 ppt for SF 6 . A secondary approach of using the average of 2 standard deviations of the means for all flask samples taken in each individual sampling episode provided similar results. These upper and lower limits represent our best estimate of the measurement agreement at the 95 % confidence level for these individual laboratories, providing more confidence for using these datasets in various scientific applications (e.g., long-term trend analysis).
引用
收藏
页码:5909 / 5935
页数:27
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