CSIRO High-precision Measurement of Atmospheric CO2 Concentration in Australia. Part 1: Initial Motivation, Techniques and Aircraft Sampling

2017 ◽  
Vol 28 (2) ◽  
pp. 111 ◽  
Author(s):  
Graeme I. Pearman ◽  
John R. Garratt ◽  
Paul J. Fraser

The potential for carbon dioxide (CO2) in the atmosphere to influence global surface temperatures was first recognized in the mid-nineteenth century. Even so, high-precision measurements of atmospheric CO2 concentration were not commenced until the International Geophysical Year (1957–8), following concerns of the climatic impact of increased use of fossil fuels and the concomitant release of CO2 into the atmosphere. In Australia, an early (1960s–70s) interest in the high-precision measurement of CO2 concentration was stimulated by a study of the photosynthesis and respiration of awheat crop. This study conducted in north-easternVictoria during 19717–2 led two young CSIRO scientists, J. R. Garratt and G. I. Pearman, encouraged by their Chief, C. H. B. Priestley, to extend micro-environment CO2 studies to larger-scale measurements of CO2 concentration in the background atmosphere. The significant extension of the observation programme required refined measurement techniques to improve both the precision and absolute comparability with observations made by laboratories overseas. Joined in 1974 by P. J. Fraser, they identified the impact of pressure broadening on calibration techniques used in the non-dispersive infrared absorption method of CO2 concentration measurement. This, in turn, led to improved inter-comparability of CO2 concentration data collected around the globe. Acomprehensive aircraft-based air sampling programmewas established in the early 1970s, leading to increased understanding of the time and space variability of CO2 concentration throughout the depth of the troposphere and lower stratosphere in the mid-latitudes of the Southern Hemisphere. In turn this led to: (i) the establishment of a permanent ground-based observatory at Cape Grim, north-western Tasmania; (ii) the development of carbon cycle models; and (iii) measurements of 12CO2, 13CO2 and 14CO2 relative abundances in current and past atmospheres, the last from air samples trapped in ice cores (described in Part 2, the companion paper). The accumulated data from these studies, together with those collected by international colleagues, form the basis of our understanding of the changes of CO2 concentration over thousands of years. In addition, the data have contributed to our understanding of the mechanisms of past and present biogeochemical cycling of CO2 that provides the predictive basis for future changes in CO2 concentration.

2019 ◽  
Vol 16 (19) ◽  
pp. 3883-3910 ◽  
Author(s):  
Lina Teckentrup ◽  
Sandy P. Harrison ◽  
Stijn Hantson ◽  
Angelika Heil ◽  
Joe R. Melton ◽  
...  

Abstract. Understanding how fire regimes change over time is of major importance for understanding their future impact on the Earth system, including society. Large differences in simulated burned area between fire models show that there is substantial uncertainty associated with modelling global change impacts on fire regimes. We draw here on sensitivity simulations made by seven global dynamic vegetation models participating in the Fire Model Intercomparison Project (FireMIP) to understand how differences in models translate into differences in fire regime projections. The sensitivity experiments isolate the impact of the individual drivers on simulated burned area, which are prescribed in the simulations. Specifically these drivers are atmospheric CO2 concentration, population density, land-use change, lightning and climate. The seven models capture spatial patterns in burned area. However, they show considerable differences in the burned area trends since 1921. We analyse the trajectories of differences between the sensitivity and reference simulation to improve our understanding of what drives the global trends in burned area. Where it is possible, we link the inter-model differences to model assumptions. Overall, these analyses reveal that the largest uncertainties in simulating global historical burned area are related to the representation of anthropogenic ignitions and suppression and effects of land use on vegetation and fire. In line with previous studies this highlights the need to improve our understanding and model representation of the relationship between human activities and fire to improve our abilities to model fire within Earth system model applications. Only two models show a strong response to atmospheric CO2 concentration. The effects of changes in atmospheric CO2 concentration on fire are complex and quantitative information of how fuel loads and how flammability changes due to this factor is missing. The response to lightning on global scale is low. The response of burned area to climate is spatially heterogeneous and has a strong inter-annual variation. Climate is therefore likely more important than the other factors for short-term variations and extremes in burned area. This study provides a basis to understand the uncertainties in global fire modelling. Both improvements in process understanding and observational constraints reduce uncertainties in modelling burned area trends.


2008 ◽  
Vol 8 (6) ◽  
pp. 19891-19916 ◽  
Author(s):  
P. J. Young ◽  
A. Arneth ◽  
G. Schurgers ◽  
G. Zeng ◽  
J. A. Pyle

Abstract. Simulations of future tropospheric composition often include substantial increases in biogenic isoprene emissions arising from the Arrhenius-like leaf emission response and warmer surface temperatures, and from enhanced vegetation productivity in response to temperature and atmospheric CO2 concentration. However, a number of recent laboratory and field data have suggested a direct inhibition of leaf isoprene production by increasing atmospheric CO2 concentration, notwithstanding isoprene being produced from precursor molecules that include some of the primary products of carbon assimilation. The cellular mechanism that underlies the decoupling of leaf photosynthesis and isoprene production still awaits a full explanation but accounting for this observation in a dynamic vegetation model that contains a semi-mechanistic treatment of isoprene emissions has been shown to change future global isoprene emission estimates notably. Here we use these estimates in conjunction with a chemistry-climate model to compare the effects of isoprene simulations without and with a direct CO2-inhibition on late 21st century O3 and OH levels. The impact on surface O3 was significant. Including the CO2-inhibition of isoprene resulted in opposing responses in polluted (O3 decreases of up to 10 ppbv) vs. less polluted (O3 increases of up to 10 ppbv) source regions, due to isoprene nitrate and peroxy acetyl nitrate (PAN) chemistry. OH concentration increased with relatively lower future isoprene emissions, decreasing methane lifetime by ~7 months. Our simulations underline the large uncertainties in future chemistry and climate studies due to biogenic emission patterns and emphasize the problems of using globally averaged climate metrics to quantify the atmospheric impact of reactive, heterogeneously distributed substances.


2011 ◽  
Vol 31 (6) ◽  
pp. 277-282 ◽  
Author(s):  
Yunxia Wang ◽  
Michael Frei ◽  
Qiling Song ◽  
Lianxin Yang

Plants ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 250 ◽  
Author(s):  
Elroy R. Cober ◽  
Malcolm J. Morrison

From 1993, we have conducted trials with the same set of old to newer soybean cultivars to determine the impact of plant breeding on seed yield, physiological and agronomic characteristics, and seed composition. Since 1993, global atmospheric [CO2] increased by 47 ppm. The objective of our current analysis with this data set was to determine if there were changes in soybean seed yield, quality or phenology attributable to elevated atmospheric CO2 concentration (eCO2), temperature or precipitation. Additionally, we estimated genetic gain annually. Over 23 years, there was a significant increase in atmospheric [CO2] but not in-season average maximum or minimum temperatures, or average in-season precipitation. Seed yield was increased significantly by eCO2, higher precipitation and higher minimum temperatures during flowering and podding. Yield decreased with higher minimum temperatures during vegetative growth and seed filling. Seed oil and also seed protein plus oil concentrations were both reduced with eCO2. Phenology has also changed, with soybean cultivars spending less time in vegetative growth, while time to maturity remained constant. Over the 23 years of the study, genetic improvement rates decreased as [CO2] increased. Newer cultivars are not better adapted to eCO2 and soybean breeders may need to intentionally select for favourable responses to eCO2 in the future.


2017 ◽  
Vol 28 (2) ◽  
pp. 126 ◽  
Author(s):  
Graeme I. Pearman ◽  
Paul J. Fraser ◽  
John R. Garratt

A companion paper discusses the history of, and rationale for, the development of a CSIRO programme of atmospheric carbondioxide (CO2) concentration measurements in Australia based on aircraft air sampling, field and laboratory measurements.1 Here, we describe parallel efforts to establish a permanent, ground-based atmospheric Baseline Station at Cape Grim, north-west Tasmania, the political activity required for its establishment, and the work undertaken to select a site commensurate with its long-term objectives. Additional CO2 measurements undertaken to complement the aircraft and Cape Grim measurements are discussed. The development of the Australian Baseline Station was part of an emerging international effort to obtain high-precision measurements of trace gas and aerosol composition of the atmosphere, and to quantify any changes in composition that might be occurring and their possible impact on global climate.We discuss the early development of global carbon cycle models, including the representations of atmospheric transport, and the interpretation of modern atmospheric CO2 data and historic air samples encapsulated in Antarctic ice and firn. The accumulated knowledge from these research activities, together with that collected by international colleagues, forms the basis of our understanding of changes occurring in CO2 concentration. It has contributed to an understanding of the mechanisms of the past and present biogeochemical cycling of CO2, providing predictions of future changes in CO2 concentration.


2018 ◽  
Vol 52 (2) ◽  
pp. 731-738 ◽  
Author(s):  
Yeongjun Ryu ◽  
Jinho Ahn ◽  
Ji-Woong Yang

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