Articles | Volume 15, issue 6
https://doi.org/10.5194/acp-15-3217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-3217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Mar 2015
Research article |
| 23 Mar 2015
Seasonal changes in the tropospheric carbon monoxide profile over the remote Southern Hemisphere evaluated using multi-model simulations and aircraft observations
University of Wollongong, Wollongong, New South Wales, Australia
S. R. Wilson
University of Wollongong, Wollongong, New South Wales, Australia
National Institute of Water and Atmospheric Research, Lauder, New Zealand
J. E. Williams
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
L. K. Emmons
National Center for Atmospheric Research, Boulder, Colorado, USA
R. L. Langenfelds
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
P. B. Krummel
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
L. P. Steele
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
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Cited
15 citations as recorded by crossref.
- Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9 J. Fisher et al. 10.5194/gmd-10-4129-2017
- Seasonal variability of surface and column carbon monoxide over the megacity Paris, high-altitude Jungfraujoch and Southern Hemispheric Wollongong stations Y. Té et al. 10.5194/acp-16-10911-2016
- The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation J. Williams et al. 10.5194/gmd-10-721-2017
- Decadal trends in global CO emissions as seen by MOPITT Y. Yin et al. 10.5194/acp-15-13433-2015
- Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
- 2019–20 Australian Bushfires and Anomalies in Carbon Monoxide Surface and Column Measurements S. John et al. 10.3390/atmos12060755
- Statistical analysis of atmospheric pollutant concentrations in parts of Imo State, Southeastern Nigeria F. Ibe et al. 10.1016/j.sciaf.2019.e00237
- A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
- Multi-model simulation of CO and HCHO in the Southern Hemisphere: comparison with observations and impact of biogenic emissions G. Zeng et al. 10.5194/acp-15-7217-2015
- Evaluation of UTLS carbon monoxide simulations in GMI and GEOS-Chem chemical transport models using Aura MLS observations L. Huang et al. 10.5194/acp-16-5641-2016
- Decreasing Trend in Formaldehyde Detected From 20‐Year Record at Wollongong, Southeast Australia K. Lieschke et al. 10.1029/2019GL083757
- Seasonal Variability of Carbon Monoxide (CO) in the Ambient Environment of IMO State, Nigeria P. Njoku et al. 10.56431/p-qs8am2
- Characteristics of airborne particle number size distributions in a coastal-urban environment D. Dominick et al. 10.1016/j.atmosenv.2018.05.031
- Source and meteorological influences on air quality (CO, CH4 & CO2) at a Southern Hemisphere urban site R. Buchholz et al. 10.1016/j.atmosenv.2015.11.041
- Seasonal Variability of Carbon Monoxide (CO) in the Ambient Environment of IMO State, Nigeria P. Njoku et al. 10.56431/p-qs8am2
14 citations as recorded by crossref.
- Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9 J. Fisher et al. 10.5194/gmd-10-4129-2017
- Seasonal variability of surface and column carbon monoxide over the megacity Paris, high-altitude Jungfraujoch and Southern Hemispheric Wollongong stations Y. Té et al. 10.5194/acp-16-10911-2016
- The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation J. Williams et al. 10.5194/gmd-10-721-2017
- Decadal trends in global CO emissions as seen by MOPITT Y. Yin et al. 10.5194/acp-15-13433-2015
- Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
- 2019–20 Australian Bushfires and Anomalies in Carbon Monoxide Surface and Column Measurements S. John et al. 10.3390/atmos12060755
- Statistical analysis of atmospheric pollutant concentrations in parts of Imo State, Southeastern Nigeria F. Ibe et al. 10.1016/j.sciaf.2019.e00237
- A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
- Multi-model simulation of CO and HCHO in the Southern Hemisphere: comparison with observations and impact of biogenic emissions G. Zeng et al. 10.5194/acp-15-7217-2015
- Evaluation of UTLS carbon monoxide simulations in GMI and GEOS-Chem chemical transport models using Aura MLS observations L. Huang et al. 10.5194/acp-16-5641-2016
- Decreasing Trend in Formaldehyde Detected From 20‐Year Record at Wollongong, Southeast Australia K. Lieschke et al. 10.1029/2019GL083757
- Seasonal Variability of Carbon Monoxide (CO) in the Ambient Environment of IMO State, Nigeria P. Njoku et al. 10.56431/p-qs8am2
- Characteristics of airborne particle number size distributions in a coastal-urban environment D. Dominick et al. 10.1016/j.atmosenv.2018.05.031
- Source and meteorological influences on air quality (CO, CH4 & CO2) at a Southern Hemisphere urban site R. Buchholz et al. 10.1016/j.atmosenv.2015.11.041
1 citations as recorded by crossref.
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Short summary
The Southern Hemisphere (SH) serves as an important test bed for evaluating our understanding of the processes that drive the composition of the clean background atmosphere. Using data from two aircraft campaigns, combined with four atmospheric chemistry models, we find a large sensitivity in the remote SH to biogenic emissions and their subsequent chemistry and transport. Future model evaluation and measurement campaigns should prioritize reducing uncertainties in these processes.
The Southern Hemisphere (SH) serves as an important test bed for evaluating our understanding of...
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