Model-simulated trend of surface carbon monoxide for the 2001–2010 decade

Yoon, Jongmin; Pozzer, Andrea

doi:10.5194/acp-14-10465-2014

Cited by 50 publications

(35 citation statements)

References 118 publications

(135 reference statements)

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“…In agreement with numerous other studies (e.g. Dils et al, 2011;Worden et al, 2013;Petetin et al, 2016a), this decrease over Europe is mainly due to the reduction of CO anthropogenic emissions over the last decades (Yoon and Pozzer, 2014;Strode et al, 2016). The strongest decrease is observed at the traffic stations with best estimates of the trend ranging from -5.5 to -10% yr -1…”

Section: Trendssupporting

confidence: 78%

Representativeness of the IAGOS airborne measurements in the lower troposphere

Pétetin

Jeoffrion

Sauvage

et al. 2018

Elementa: Science of the Anthropocene

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In the framework of the In Service Aircraft for Global Observing System (IAGOS) program, airborne in-situ O 3 and CO measurements are performed routinely using in-service aircraft, providing vertical profiles from the surface to about 10-12 km. Due to the specificity of IAGOS measurements (measurements around busy international airports), uncertainties exist on their representativeness in the lower troposphere as they may be impacted by emissions related to airport activities and/or other aircraft. In this study, we thus investigate how the IAGOS measurements in the lower troposphere compare with nearby surface stations (from the local Air Quality monitoring network (AQN)) and more distant regional surface stations (from the Global Atmospheric Watch (GAW) network). The study focuses on Frankfurt but some results at other European airports (Vienna, Paris) are also discussed.Results indicate that the IAGOS observations close to the surface do not appear to be strongly impacted by local emissions related to airport activities. In terms of mixing ratio distribution, seasonal variations and trends, the CO and O 3 mixing ratios measured by IAGOS in the first few hundred metres above the surface have similar characteristics to the mixing ratios measured at surrounding urban background stations. Higher in altitude, both the difference with data from the local AQN and the consistency with the GAW regional stations are higher, which indicates a larger representativeness of the IAGOS data. Despite few quantitative differences with Frankfurt, consistent results are obtained in the two other cities Vienna and Paris.Based on 11 years of data (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012), this study thus demonstrates that IAGOS observations in the lowest troposphere can be used as a complement to surface stations to study the air quality in/around the agglomeration, providing important information on the vertical distribution of pollution.

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Section: Trendssupporting

confidence: 78%

Representativeness of the IAGOS airborne measurements in the lower troposphere

Pétetin

Jeoffrion

Sauvage

et al. 2018

Elementa: Science of the Anthropocene

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“…The main difference between the two CO-only simulations is the vertical distribution of the CO source from NMVOCs, which is three-dimensional in the improved simulation but only occurs in the surface layer in the base simulation. Yoon and Pozzer, 2014;Strode et al, 2016). The full GEOSChem benchmark is similarly conducted for a much more recent year (2013), and updating the benchmark dataset to include more recent airborne observations, including those in regions sensitive to biogenic emissions and chemical production, should be a priority for the GEOS-Chem community.…”

Section: Implications For Global Evaluation With Observationsmentioning

confidence: 99%

Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9

et al. 2017

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Abstract. Carbon monoxide (CO) simulation in atmospheric chemistry models is frequently used for source-receptor analysis, emission inversion, interpretation of observations, and chemical forecasting due to its computational efficiency and ability to quantitatively link simulated CO burdens to sources. While several methods exist for modeling CO source attribution, most are inappropriate for regions where the CO budget is dominated by secondary production rather than direct emissions. Here, we introduce a major update to the linear CO-only capability in the GEOS-Chem chemical transport model that for the first time allows sourceregion tagging of secondary CO produced from oxidation of non-methane volatile organic compounds. Our updates also remove fundamental inconsistencies between the CO-only simulation and the standard full chemistry simulation by using consistent CO production rates in both. We find that relative to the standard chemistry simulation, CO in the original CO-only simulation was overestimated by more than 100 ppb in the model surface layer and underestimated in outflow regions. The improved CO-only simulation largely resolves these discrepancies by improving both the magnitude and location of secondary production. Despite large differences between the original and improved simulations, however, model evaluation with the global dataset used to benchmark GEOS-Chem shows negligible change to the model's ability to match the observations. This suggests that the current GEOS-Chem benchmark is not well suited to evaluate model changes in regions influenced by biogenic emissions and chemistry, and expanding the dataset to include observations from biogenic source regions (including those from recent aircraft campaigns) should be a priority for the GEOSChem community. Using Australasia as a case study, we show that the new ability to geographically tag secondary CO production provides significant added value for interpreting observations and model results in regions where primary CO emissions are low. Secondary production dominates the CO budget across much of the world, especially in the Southern Hemisphere, and we recommend future model-observation and multi-model comparisons implement this capability to provide a more complete understanding of CO sources and their variability.

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“…The negative AOD trend observed over eastern China is in line with the air quality regulations and the applied policies promoting the reduction in emissions over China. Van der A et al (2017) report on the decrease in aerosol precursor gases (SO 2 , NO 2 ) based on OMI, SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Cartography) and GOME-2 (Global Ozone Monitoring Experiment) satellite observations, while Yoon and Pozzer (2014) report on the decrease in biomass-burningrelated emissions. The decline in AOD over China is additionally observed by several authors (Kang et al, 2016;Zhang et al, 2017), with the suggested pivot point around 2011 (Zhao et al, 2017).…”

Section: Temporal Evolution Of Aod and D_aodmentioning

confidence: 99%

Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP

et al. 2018

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Abstract. We present a 3-D climatology of the desert dust distribution over South and East Asia derived using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) data. To distinguish desert dust from total aerosol load we apply a methodology developed in the framework of EARLINET (European Aerosol Research Lidar Network). The method involves the use of the particle linear depolarization ratio and updated lidar ratio values suitable for Asian dust, applied to multiyear CALIPSO observations (January 2007-December 2015. The resulting dust product provides information on the horizontal and vertical distribution of dust aerosols over South and East Asia along with the seasonal transition of dust transport pathways. Persistent high D_AOD (dust aerosol optical depth) values at 532 nm, of the order of 0.6, are present over the arid and semi-arid desert regions. Dust aerosol transport (range, height and intensity) is subject to high seasonality, with the highest values observed during spring for northern China (Taklimakan and Gobi deserts) and during summer over the Indian subcontinent (Thar Desert). Additionally, we decompose the CALIPSO AOD (aerosol optical depth) into dust and non-dust aerosol components to reveal the nondust AOD over the highly industrialized and densely populated regions of South and East Asia, where the non-dust aerosols yield AOD values of the order of 0.5. Furthermore, the CALIPSO-based short-term AOD and D_AOD time series and trends between January 2007 and December 2015 are calculated over South and East Asia and over selectedPublished by Copernicus Publications on behalf of the European Geosciences Union. 1338 E. Proestakis et al.: Nine-year spatial and temporal evolution of desert dust aerosols subregions. Positive trends are observed over northwest and east China and the Indian subcontinent, whereas over southeast China trends are mostly negative. The calculated AOD trends agree well with the trends derived from Aqua MODIS (Moderate Resolution Imaging Spectroradiometer), although significant differences are observed over specific regions.

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Model-simulated trend of surface carbon monoxide for the 2001–2010 decade

Cited by 50 publications

References 118 publications

Representativeness of the IAGOS airborne measurements in the lower troposphere

Representativeness of the IAGOS airborne measurements in the lower troposphere

Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9

Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP

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