Worldwide biogenic soil NO&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; emissions inferred from OMI NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; observations

Vinken, G. C. M.; Boersma, K. Folkert; Maasakkers, Joannes D.; Adon, M.; Martin, Randall V.

doi:10.5194/acp-14-10363-2014

Cited by 160 publications

(169 citation statements)

References 72 publications

Supporting

Mentioning

157

Contrasting

Order By: Relevance

“…2. In all simulations the emission totals are between 5.4 and 6.3 Tg a −1 until the year 2010 and thus at the lower end of the estimated range from Vinken et al (2014). While the simulations of the RC2 series are at the lower limit of this range, the simulations RC1SD-base-07 and RC1SD-base-08 (i.e.…”

Section: Biogenic Emissionsmentioning

confidence: 99%

See 1 more Smart Citation

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

et al. 2016

View full text Add to dashboard Cite

Abstract. Three types of reference simulations, as recommended by the Chemistry-Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts -Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations , hindcast simulations with specified dynamics , i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations . The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two different nudging setups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. The on-line calculated sources and sinks of reactive species are quantified and a first evaluation of the simulation results from a global perspective is provided as a quality check of the data. The focus is on the intercomparison of the different model set-ups. The simulation data will become publicly available via CCMI and the Climate and Environmental Retrieval and Archive (CERA) database of the German Climate Computing Centre (DKRZ). This manuscript is intended to serve as an extensive reference for further analyses of the Earth System Chemistry integrated Modelling (ESCiMo) simulations.

show abstract

Section: Biogenic Emissionsmentioning

confidence: 99%

“…Estimates for the soil biogenic emissions of NO are highly uncertain. Vinken et al (2014) compared results of different models and satellite observation-based estimates. Most of the annual totals are in the range of 4 to 15 Tg (N) a −1 , not taking into account the uncertainties reported in the individual studies.…”

Section: Biogenic Emissionsmentioning

confidence: 99%

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

et al. 2016

View full text Add to dashboard Cite

show abstract

“…These emissions are subject to large uncertainties with global above-canopy estimates ranging from 4.7 to 16.8 Tg N year -1 (Hudman et al, 2012, Vinken et al, 2014. Implementations of soil NO x emissions in global models are generally based on empirical (e.g., Yienger and Levy, 1995;Steinkamp and Lawrence, 2011) and process-based models (e.g., Potter et al, 1996;Parton et al, 2001).…”

Section: Natural Emissionsmentioning

confidence: 99%

Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends

Young

Naik

Fiore

et al. 2018

Elementa: Science of the Anthropocene

255

274

View full text Add to dashboard Cite

The goal of the Tropospheric Ozone Assessment Report (TOAR) is to provide the research community with an up-to-date scientific assessment of tropospheric ozone, from the surface to the tropopause. While a suite of observations provides significant information on the spatial and temporal distribution of tropospheric ozone, observational gaps make it necessary to use global atmospheric chemistry models to synthesize our understanding of the processes and variables that control tropospheric ozone abundance and its variability. Models facilitate the interpretation of the observations and allow us to make projections of future tropospheric ozone and trace gas distributions for different anthropogenic or natural perturbations. This paper assesses the skill of current-generation global atmospheric chemistry models in simulating the observed present-day tropospheric ozone distribution, variability, and trends. Drawing upon the results of recent international multi-model intercomparisons and using a range of model evaluation techniques, we demonstrate that global chemistry models are broadly skillful in capturing the spatio-temporal variations of tropospheric ozone over the seasonal cycle, for extreme pollution episodes, and changes over interannual to decadal periods. However, models are consistently biased high in the northern hemisphere and biased low in the southern hemisphere, throughout the depth of the troposphere, and are unable to replicate particular metrics that define the longer term trends in tropospheric ozone as derived from some background sites. When the models compare unfavorably against observations, we discuss the potential causes of model biases and propose directions for future developments, including improved evaluations that may be able to better diagnose the root cause of the model-observation disparity. Overall, model results should be approached critically, including determining whether the model performance is acceptable for the problem being addressed, whether biases can be tolerated or corrected, whether the model is appropriately constituted, and whether there is a way to satisfactorily quantify the uncertainty.

show abstract

“…Schumann and Huntrieser, 2007) and soil (e.g. Yienger and Levy, 1995;Vinken et al, 2014). anthropogenic sources of ozone precursors, on the other hand, include emissions from industry, land transport (containing the sectors road traffic, inland navigation and railways, e.g.…”

Section: Introductionmentioning

confidence: 99%

Revisiting the contribution of land transport and shipping emissions to tropospheric ozone

Mertens¹,

Grewe²,

Rieger³

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract. We quantify the contribution of land transport and shipping emissions to tropospheric ozone for the first time with a chemistry-climate model including an advanced tagging method, which considers not only the emissions of NO x (NO and NO 2 ), CO or non-methane hydrocarbons (NMHC) separately but the competing effects of all relevant ozone precursors. For summer conditions a contribution of land transport emissions to ground level ozone of up to 18 % in North America and South Europe is estimated, which corresponds to 12 nmol mol 10A more in-depth analysis for the land transport emissions reveals that the two approaches give different results particularly in regions with large emissions (up to a factor of four for Europe). With respect to the contribution of land transport and ship traffic emissions to the tropospheric ozone burden we quantified values of 8 % and 6 % for the land transport and shipping emissions, respectively. Overall, the emissions from land transport contribute to around 20 % of the net ozone production near the source regions, while shipping emissions contribute up to 52 % to the net ozone production in the Northern Pacific. , respectively. Again these results are larger by a factor of 2-3 compared to previous studies using the perturbation approach, but largely agree with previous studies which investigated the difference between the tagging and the perturbation method. Overall our results highlight the importance of differing between the perturbation and the tagging approach, as they answer two different questions. We argue that only the tagging approach can estimate the contribution of emissions, while only 20 the perturbation approach investigates the effect of an emission change. To effectively asses mitigation options both approaches should be combined.

show abstract

Worldwide biogenic soil NO<sub>x</sub> emissions inferred from OMI NO<sub>2</sub> observations

Cited by 160 publications

References 72 publications

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends

Revisiting the contribution of land transport and shipping emissions to tropospheric ozone

Contact Info

Product

Resources

About