High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling

Swaluw, E. van der; Vries, Wilco de; Sauter, Ferd; Aben, Jan; Velders, G. J. M.; Pul, Addo van

doi:10.1016/j.atmosenv.2017.02.009

Cited by 9 publications

(8 citation statements)

References 30 publications

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“…The LML has monitored hourly NH 3 concentrations in the Netherlands since 1993 (van Zanten et al, 2017). Since 2014, only six stations have been left in operation; before that, there were eight stations.…”

Section: Lml Networkmentioning

confidence: 99%

“…Airflow passes through a wetted rotating denuder tube in the AMOR instrument and the NH 3 absorbs into this fluid. The electric conductivity is then determined and used as a measure for the NH 3 concentration (van Zanten et al, 2017). The measurements have a reported uncertainty of at least 9 % for hourly concentrations and at least 7 % for yearly averages (van Zanten et al, 2017;Blank, 2001).…”

Section: Lml Networkmentioning

confidence: 99%

“…The dry deposition fluxes in LOTOS-EUROS are calculated with the Deposition of Acidifying Compounds (DEPAC) 3.11 module, following the resistance approach (van Zanten et al, 2010). In this approach, the deposition velocity is the reciprocal sum of the aerodynamic resistance, the quasilaminar layer resistance and the surface resistance.…”

Section: Dry Deposition Parameterizationmentioning

confidence: 99%

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Technical note: How are NH3 dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH3 satellite observations?

2018

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Abstract. Atmospheric levels of reactive nitrogen have increased substantially during the last century resulting in increased nitrogen deposition to ecosystems, causing harmful effects such as soil acidification, reduction in plant biodiversity and eutrophication in lakes and the ocean. Recent developments in the use of atmospheric remote sensing enabled us to resolve concentration fields of NH3 with larger spatial coverage. These observations may be used to improve the quantification of NH3 deposition. In this paper, we use a relatively simple, data-driven method to derive dry deposition fluxes and surface concentrations of NH3 for Europe and for the Netherlands. The aim of this paper is to determine the applicability and the limitations of this method for NH3. Space-born observations of the Infrared Atmospheric Sounding Interferometer (IASI) and the LOTOS-EUROS atmospheric transport model are used. The original modelled dry NH3 deposition flux from LOTOS-EUROS and the flux inferred from IASI are compared to indicate areas with large discrepancies between the two. In these areas, potential model or emission improvements are needed. The largest differences in derived dry deposition fluxes occur in large parts of central Europe, where the satellite-observed NH3 concentrations are higher than the modelled ones, and in Switzerland, northern Italy (Po Valley) and southern Turkey, where the modelled NH3 concentrations are higher than the satellite-observed ones. A sensitivity analysis of eight model input parameters important for NH3 dry deposition modelling showed that the IASI-derived dry NH3 deposition fluxes may vary from ∼ 20 % up to ∼50 % throughout Europe. Variations in the NH3 dry deposition velocity led to the largest deviations in the IASI-derived dry NH3 deposition flux and should be focused on in the future. A comparison of NH3 surface concentrations with in situ measurements of several established networks – the European Monitoring and Evaluation Programme (EMEP), Meetnet Ammoniak in Natuurgebieden (MAN) and Landelijk Meetnet Luchtkwaliteit (LML) – showed no significant or consistent improvement in the IASI-derived NH3 surface concentrations compared to the originally modelled NH3 surface concentrations from LOTOS-EUROS. It is concluded that the IASI-derived NH3 deposition fluxes do not show strong improvements compared to modelled NH3 deposition fluxes and there is a future need for better, more robust, methods to derive NH3 dry deposition fluxes.

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Section: Lml Networkmentioning

confidence: 99%

Section: Lml Networkmentioning

confidence: 99%

Section: Dry Deposition Parameterizationmentioning

confidence: 99%

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Technical note: How are NH3 dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH3 satellite observations?

2018

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“…The Eulerian air quality model EUROS was originally developed at RIVM for the modelling of winter smog (SO 2 ) episodes in Europe (van Egmond and Kesseboom, 1981). Later on, the model was used for simulating various airpolluting compounds in the lower troposphere over Europe, such as ozone and persistent organic pollutants (POPs) (Jacobs and Van Pul, 1996).…”

Section: Origin Of Lotos-eurosmentioning

confidence: 99%

“…Detailing the temporal emission variability based on meteorology and agricultural practices is pursued to improve the model's skill to capture the intra-annual variability of ammonia (Hendriks et al, 2016b;Kranenburg et al, 2017). Currently, satellite products for ammonia are emerging, which show a great promise for the validation of the LOTOS-EUROS model and its emission information (Van Damme et al, 2014). Besides nitrogen deposition, specific attention has been given to the exposure of terrestrial ecosystems to ozone (phytotoxic ozone dose or PODy, accumulated stomatal ozone flux over a threshold) (Bender et al, 2015) and heavy metals (Nickel et al, 2017).…”

Section: Development and Applications Frommentioning

confidence: 99%

Reply to referee 1

Manders¹

2017

Preprint

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Modelling Air Quality and Deposition at High Resolution in the Netherlands with Plume and Grid Models

Swaluw

Vries

Vieno

et al. 2017

Air Pollution Modeling and Its Application XXV

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High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling

Cited by 9 publications

References 30 publications

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

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

Reply to referee 1

Modelling Air Quality and Deposition at High Resolution in the Netherlands with Plume and Grid Models

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High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling

Cited by 9 publications

References 30 publications

Technical note: 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?

Technical note: 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?

Reply to referee 1

Modelling Air Quality and Deposition at High Resolution in the Netherlands with Plume and Grid Models

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

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