Multi-model study of HTAP II on sulphur and nitrogen deposition

Tan, Jiani; Fu, Joshua S.; Dentener, Frank; Sun, Jun; Emmons, L. K.; Tilmes, Simone; Sudo, Kengo; Flemming, Johannes; Jonson, Jan Eiof; Gravel, Sylvie; Bian, Huisheng; Henze, D. K.; Lund, Marianne T.; Kucsera, Tom; Keating, Terry

doi:10.5194/acp-2017-1121

Cited by 4 publications

(11 citation statements)

References 26 publications

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“…In order to validate the quality of model outputs, we check the mass balance between emission and deposition at global scale. The mass balance for base case simulation has been checked in Tan et al (2018), therefore we show the mass balance for perturbation experiments in this study. We compare the global total amounts of changes of deposition (∆ Depo) with changes of emissions (∆ Emis) for all perturbation cases (Table S1).…”

Section: Htap II and Experiments Set-upmentioning

confidence: 99%

“…S1. In terms of S emission, there is 5-10% of seasonal variation around the annual average (Tan et al, 2018;Vet et al, 2014;Dentener et al, 2006). Therefore, local precipitation washes out large proportion of the air pollutants in the atmosphere during the rainfall seasons (i.e.…”

Section: Export Of S and N Emissions From Source Regionsmentioning

confidence: 99%

“…On one hand, the EA perturbation case assumes the largest amount of emission reductions among all cases (Table S3). On the other hand, model evaluation (Tan et al, 2018) also has reported high model bias in simulating the deposition in this region, and suggest an incomplete knowledge from the combined picture provided by observations and models.…”

Section: Own Region and Foreign Contributions On Depositionmentioning

confidence: 99%

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Source contributions of sulfur and nitrogen deposition – an HTAP II multi model study on hemispheric transport

Tan¹,

Fu²,

Dentener³

et al. 2018

Preprint

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Section: Htap II and Experiments Set-upmentioning

confidence: 99%

Section: Export Of S and N Emissions From Source Regionsmentioning

confidence: 99%

Section: Own Region and Foreign Contributions On Depositionmentioning

confidence: 99%

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Source contributions of sulfur and nitrogen deposition – an HTAP II multi model study on hemispheric transport

Tan¹,

Fu²,

Dentener³

et al. 2018

Preprint

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“…Atmospheric chemistry transport models are more comprehensive in that they estimate regional and global patterns of N deposition by simultaneously considering both wet and dry deposition processes, and are able to provide information in regions lacking monitoring. Existing modelling assessments of present-day N deposition are, however, outdated in view of rapidly changing N deposition inputs (e.g., year 1995 for Dentener et al, 2006;year 2000year for Lamarque et al, 2013year 2001year for Vet et al, 2014; year 2010 for Tan et al, 2018), while simulations for more recent years are based on uncertain emission projections (e.g. Lamarque et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…This study reviews available atmospheric chemical transport models at global and continental scales to estimate N deposition, including conceptual differences between the models, the role of measurement-model fusion approaches and the use of remote sensing. Furthermore, we present updated (base year 2010) global estimates of N deposition and its components (wet vs. dry, oxidized N vs reduced N) across forests biomes by using the HTAP2 multi-model ensemble (Tan et al, 2018). Using the EMEP MSC-W model (Simpson et al, 2006(Simpson et al, , 2012(Simpson et al, , 2017, particular attention is devoted to distinguishing grid-average and forest-specific deposition values in forested areas.…”

Section: Introductionmentioning

confidence: 99%

Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale

Schwede

Simpson

Tan

et al. 2018

Environmental Pollution

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Forests are an important biome that covers about one third of the global land surface and provides important ecosystem services. Since atmospheric deposition of nitrogen (N) can have both beneficial and deleterious effects, it is important to quantify the amount of N deposition to forest ecosystems. Measurements of N deposition to the numerous forest biomes across the globe are scarce, so chemical transport models are often used to provide estimates of atmospheric N inputs to these ecosystems. We provide an overview of approaches used to calculate N deposition in commonly used chemical transport models. The Task Force on Hemispheric Transport of Air Pollution (HTAP2) study intercompared N deposition values from a number of global chemical transport models. Using a multi-model mean calculated from the HTAP2 deposition values, we map N deposition to global forests to examine spatial variations in total, dry and wet deposition. Highest total N deposition occurs in eastern and southern China, Japan, Eastern U.S. and Europe while the highest dry deposition occurs in tropical forests. The European Monitoring and Evaluation Program (EMEP) model predicts grid-average deposition, but also produces deposition by land use type allowing us to compare deposition specifically to forests with the grid-average value. We found that, for this study, differences between the grid-average and forest specific could be as much as a factor of two and up to more than a factor of five in extreme cases. This suggests that consideration should be given to using forest-specific deposition for input to ecosystem assessments such as critical loads determinations.

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Global and regional trends of atmospheric sulfur

Aas

Mortier

Bowersox³

et al. 2019

Sci Rep

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220

182

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The profound changes in global SO2 emissions over the last decades have affected atmospheric composition on a regional and global scale with large impact on air quality, atmospheric deposition and the radiative forcing of sulfate aerosols. Reproduction of historical atmospheric pollution levels based on global aerosol models and emission changes is crucial to prove that such models are able to predict future scenarios. Here, we analyze consistency of trends in observations of sulfur components in air and precipitation from major regional networks and estimates from six different global aerosol models from 1990 until 2015. There are large interregional differences in the sulfur trends consistently captured by the models and observations, especially for North America and Europe. Europe had the largest reductions in sulfur emissions in the first part of the period while the highest reduction came later in North America and East Asia. The uncertainties in both the emissions and the representativity of the observations are larger in Asia. However, emissions from East Asia clearly increased from 2000 to 2005 followed by a decrease, while in India a steady increase over the whole period has been observed and modelled. The agreement between a bottom-up approach, which uses emissions and process-based chemical transport models, with independent observations gives an improved confidence in the understanding of the atmospheric sulfur budget.

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Multi-model study of HTAP II on sulphur and nitrogen deposition

Abstract: Abstract. This study uses multi-model ensemble results of 11 models from the 2 nd phase of Task

Cited by 4 publications

References 26 publications

Source contributions of sulfur and nitrogen deposition – an HTAP II multi model study on hemispheric transport

Source contributions of sulfur and nitrogen deposition – an HTAP II multi model study on hemispheric transport

Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale

Global and regional trends of atmospheric sulfur

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