Trends in N<sub>2</sub>O and SF<sub>6</sub> mole fractions in archived air samples from Cape Meares, Oregon (USA), 1978–1996
-
Published:2019-07-16
Issue:13
Volume:19
Page:8967-8977
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Rolfe Terry C.,Rice Andrew L.
Abstract
Abstract. Quantifying historical trends in atmospheric greenhouse
gases (GHGs) is important to understanding changes in their budgets and for
climate modeling, which simulates historic and projects future climate.
Archived samples analyzed using updated measurement techniques and
calibration scales can reduce uncertainties in historic records of GHG mole
fractions and their trends in time. Here, we present historical measurements
of two important GHGs, nitrous oxide (N2O) and sulfur hexafluoride
(SF6), collected at the midlatitude Northern Hemisphere station Cape
Meares, Oregon (USA, 45.5∘ N, 124∘ W), between 1978 and
1996 in archived air samples from the Oregon Health and Science University
– Portland State University (OHSU–PSU) air archive. N2O is the third
most important anthropogenically forced GHG behind carbon dioxide (CO2)
and methane (CH4). SF6 has a low abundance in the atmosphere, but
is one of the most powerful GHGs known. Measurements of atmospheric N2O
made during this period are available for select locations, but before
mid-1990 they have larger uncertainties than more recent periods due to
advancements made in gas chromatography (GC) methods. Few atmospheric
SF6 measurements exist pre-1990, particularly in the Northern
Hemisphere. The GC system used to measure N2O and SF6 mixing
ratios in this work is designed to be fully automated, and is capable of running up
to 15 samples per batch. Measurement precision (1σ) of N2O and
SF6 is 0.16 % and 1.1 %, respectively (evaluated at 328.7 ppb and
8.8 ppt). Samples were corrected for detector response nonlinearity when
measured against our reference standard, with the corrections determined to be 0.14 ppb ppb−1 in N2O and 0.03 ppt ppt−1 in SF6. The mixing ratio
of N2O in archived samples is found to be 301.5±0.3 ppb in 1980
and rises to 313.5±0.3 ppb in 1996. The average growth rate over
this period is 0.78±0.03 ppb yr−1 (95 % CI). The seasonal
amplitude is statistically robust, with a maximum anomaly of 0.3 ppb near
April and a minimum near November of −0.4 ppb. Measurements of N2O
match well with previously reported values for Cape Meares and other
comparable locations. The mixing ratio of SF6 in analyzed samples is
found to be 0.85±0.03 ppt in 1980 and rises to 3.83±0.03 ppt
in 1996. The average growth rate over this period is 0.17±0.01 ppt yr−1 (95 % CI). The seasonality is statistically robust and has an annual
peak amplitude of 0.04 ppt near January and a minimum amplitude of −0.03 ppt
near July. These are unique SF6 results from this site and represent a
significant increase in the SF6 data available during the 1980s and early
1990s. The mixing ratio and growth rate of SF6 measured compares well
to other Northern Hemisphere measurements over this period. From these
N2O and SF6 measurements, we conclude that sample
integrity is generally robust in the OHSU-PSU air archive for N2O and SF6.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference43 articles.
1. Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J.,
Chhabra, A., DeFries, R., Galloway, J., Heimann, M., Jones, C., Le
Quéré, C., Myneni, R. B., Piao, S., and Thornton, P.: Carbon and
Other Biogeochemical Cycles, in: Climate Change 2013: The Physical Science
Basis, Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner,
G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,
and Midgley, P. M., Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, 465–570, 2013. 2. Crutzen, P.: The influence of nitrogen oxides on the atmospheric ozone
content, Q. J. Roy. Meteor. Soc., 96,
320–325, 1970. 3. Cleveland, W. S. and Devlin, S. J.: Locally weighted regression: An
approach to regression analysis by local fitting, J. Am. Stat. Assoc., 83, 596–610, 1988. 4. Dlugokencky, E. J., Hall, B. D., Montzka, S. A., Dutton, G., Mühle, J.,
and Elkins, J. W.: Atmospheric composition: Long-lived Greenhouse Gases, in:
State of the Climate in 2017, B. Am. Meteorol. Soc., 99,
46–49, https://doi.org/10.1175/2018BAMSStateoftheClimate.1, 2018. 5. EDGAR, Emission Database for Global Atmospheric Research (EDGAR): European
Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment
Agency (PBL), release version 4.2., available at: http://edgar.jrc.ec.europa.eu (last access: 28 December 2018), 2013.
|
|