Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe

Hendriks, Carlijn; Kranenburg, Richard; Kuenen, Jeroen; Bril, Bo Van den; Verguts, Veerle; Schaap, Martijn

doi:10.1016/j.atmosenv.2016.01.043

Cited by 42 publications

(49 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Passive data assimilation methods include statistical assimilation techniques such as optimal interpolation methods, residual kriging methods, re- gression and multiple regression techniques, e.g. and Horálek et al (2005Horálek et al ( , 2007. These assimilation techniques are most often applied "offline" in the sense that the model output is combined with observations as a post-processing step.…”

Section: Data Assimilation Systemmentioning

confidence: 99%

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

et al. 2017

View full text Add to dashboard Cite

Abstract. The development and application of chemistry transport models has a long tradition. Within the Netherlands the LOTOS-EUROS model has been developed by a consortium of institutes, after combining its independently developed predecessors in 2005. Recently, version 2.0 of the model was released as an open-source version. This paper presents the curriculum vitae of the model system, describing the model's history, model philosophy, basic features and a validation with EMEP stations for the new benchmark year 2012, and presents cases with the model's most recent and key developments. By setting the model developments in context and providing an outlook for directions for further development, the paper goes beyond the common model description.With an origin in ozone and sulfur modelling for the models LOTOS and EUROS, the application areas were gradually extended with persistent organic pollutants, reactive nitrogen, and primary and secondary particulate matter. After the combination of the models to LOTOS-EUROS in 2005, the model was further developed to include new source parametrizations (e.g. road resuspension, desert dust, wildfires), applied for operational smog forecasts in the Netherlands and Europe, and has been used for emission scenarios, source apportionment, and long-term hindcast and climate change scenarios. LOTOS-EUROS has been a front-runner in data assimilation of ground-based and satellite observations and has participated in many model intercomparison studies. The model is no longer confined to applications over Europe but is also applied to other regions of the world, e.g. China. The increasing interaction with emission experts has also contributed to the improvement of the model's performance. The philosophy for model development has always been to use knowledge that is state of the art and proven, to keep a good balance in the level of detail of process description and accuracy of input and output, and to keep a good record on the effect of model changes using benchmarking and validation. The performance of v2.0 with respect to EMEP observations is good, with spatial correlations around 0.8 or higher for concentrations and wet deposition. Temporal correlations are around 0.5 or higher. Recent innovative applications include source apportionment and data assimilation, particle number modelling, and energy transition scenarios including corresponding land use changes as well as Saharan dust forecasting. Future developments would enable more flexibility with respect to model horizontal and vertical resolution and further detailing of model input data.Published by Copernicus Publications on behalf of the European Geosciences Union.

show abstract

Section: Data Assimilation Systemmentioning

confidence: 99%

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Skjøth et al (2011) showed that the implementation of a dynamic NH 3 emission model for different agricultural sources may result in considerable model performance improvements when high-quality activity data and information on spatial distributions of emissions is available. Furthermore, Hendriks et al (2016) showed that the use of manure transport data for 15 ammonia emission time profiles lead to additional model improvements and a better representation of the spring maximum.…”

Section: Discussionmentioning

confidence: 99%

“…The uncertainty in the NO x emissions is higher, of around ±20% on reported annual totals. However, due to interpolation to account for missing data for some countries, the final uncertainty of the annual totals of both SO 2 and NO x is estimated to be higher (Kuenen et al, 2014 Needless to say, one single emission at a certain time may have a much higher error due to the large uncertainty related to redistribution and the timing of emissions (Hendriks et al, 2016;Skjøth et al, 2011). More information on the quality data ratings of NH 3 , SO 2 and NO x per source category and per country can be found in the report of the European Environment Agency (EEA, 2016).…”

mentioning

confidence: 99%

How are NH<sub>3</sub> dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH<sub>3</sub> satellite observations?

Graaf

Dammers

Schaap³

et al. 2018

Preprint

View full text Add to dashboard Cite

Abstract. Atmospheric levels of reactive nitrogen have substantially increased during the last century resulting in increased nitrogen deposition to ecosystems, causing harmful effects such as soil acidification, reduction in plant 15 biodiversity and eutrophication in lakes and the ocean. Recent developments in the use of atmospheric remote sensing enabled us to resolve concentration fields of NH 3 with larger spatial coverage and these observations may be used to improve the quantification of NH 3 deposition. In this paper we use a relatively simple, data-driven method to derive dry deposition fluxes and surface concentrations of NH 3 for Europe and for the Netherlands. The aim of this paper is to determine for the applicability and the limitations of this method for NH 3 using space-born observations

show abstract

“…The SILAM model has been extensively evaluated against air quality observations over Europe and the globe (Huijnen et al, 2010), https://atmosphere.copernicus.eu/, (Solazzo et al, 2012a, b). The model has recently been applied to evalu-ate the dispersion of primary PM 2.5 emissions across Europe and in more detail over Finland, and to assess the resulting adverse health impacts Tainio et al, 2009Tainio et al, , 2010.…”

Section: B4 Silammentioning

confidence: 99%

Answer to the comments of Anonymous Referee #2

Prank¹

2016

View full text Add to dashboard Cite

Four regional chemistry transport models were applied to simulate the concentration and composition of particulate matter (PM) in Europe for 2005 with horizontal resolution ∼ 20 km. The modelled concentrations were compared with the measurements of PM chemical composition by the European Monitoring and Evaluation Programme (EMEP) monitoring network. All models systematically underestimated PM 10 and PM 2.5 by 10-60 %, depending on the model and the season of the year, when the calculated dry PM mass was compared with the measurements. The average water content at laboratory conditions was estimated between 5 and 20 % for PM 2.5 and between 10 and 25 % for PM 10 . For majority of the PM chemical components, the relative underestimation was smaller than it was for total PM, exceptions being the carbonaceous particles and mineral dust. Some species, such as sea salt and NO − 3 , were overpredicted by the models. There were notable differences between the models' predictions of the seasonal variations of PM, mainly attributable to different treatments or omission of some source categories and aerosol processes. Benzo(a)pyrene concentrations were overestimated by all the models over the whole year. The study stresses the importance of improving the models' skill in simulating mineral dust and carbonaceous compounds, necessity for high-quality emissions from wildland fires, as well as the need for an explicit consideration of aerosol water content in model-measurement comparison.Published by Copernicus Publications on behalf of the European Geosciences Union.2 Input data and participating models European Emissions in 2005A new anthropogenic emission inventory was compiled within the TRANSPHORM project, with substantial updates regarding the EU-wide transport activities. The baseline emission data contains the following substances: NO x , SO 2 , NMVOC, CH 4 , NH 3 , CO, PM 10 , PM 2.5 , EC, B[a]P (benzo[a]pyrene), and particle number (Denier van der Gon et al., 2014). . Phys., 16, 6041-6070, 2016 www.atmos-chem-phys.net/16/6041/2016/ Atmos. Chem

show abstract

Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe

Cited by 42 publications

References 50 publications

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

How are NH<sub>3</sub> dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH<sub>3</sub> satellite observations?

Answer to the comments of Anonymous Referee #2

Contact Info

Product

Resources

About

Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe

Cited by 42 publications

References 50 publications

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

How are NH&lt;sub&gt;3&lt;/sub&gt; dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH&lt;sub&gt;3&lt;/sub&gt; satellite observations?

Answer to the comments of Anonymous Referee #2

Contact Info

Product

Resources

About

How are NH<sub>3</sub> dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH<sub>3</sub> satellite observations?