Measuring atmospheric ammonia with remote sensing campaign: Part 1 – Characterisation of vertical ammonia concentration profile in the centre of The Netherlands

Dammers, Enrico; Schaap, Martijn; Haaima, Marty; Palm, Mathias; Kruit, R.J. Wichink; Volten, H.; Hensen, A.; Swart, D. P. J.; Erisman, J. W.

doi:10.1016/j.atmosenv.2017.08.067

Cited by 31 publications

(34 citation statements)

References 53 publications

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“…Random errors would average out from the large number of observations used in the fit; however, the systematic biases do not. Dammers et al (2017b) found a 25 %-40 % negative bias for IASI compared to FTIR observations depending on the total column concentration. Here, we will assume the lower limit of 25 %, as most of the enhancements analyzed in this study have mean total column densities corresponding to the lower range of the bias.…”

Section: Satellite Total Columnsmentioning

confidence: 86%

“…The CrIS-FPR retrieval is a physical retrieval based on the optimal estimation method (Rodgers, 2000) that uses the fast optimal spectral sampling (OSS)-CrIS (Moncet et al, 2008) forward model to minimize the residual between the measured and simulated spectra. The previous version of the CrIS-NH 3 product (version 1.3) has been compared with groundbased Fourier transform infrared spectroscopy (FTIR) observations and showed good performance (Dammers et al, 2017b) with correlations of r ∼ 0.8 and a slope of 1.02. The validation study indicated that for total columns greater than 10 × 10 15 molecules cm −2 , CrIS-FPR values have a small ∼ 0 %-5 % difference with a standard deviation (SD) of 25 % up to 50 %, which is within the FTIR-and CrIS-estimated retrieval uncertainties.…”

Section: Crismentioning

confidence: 99%

“…As of yet, there is no validation study focused specifically on the newest data product. However, the previous data products of IASI have been validated by Dammers et al (2016Dammers et al ( , 2017b and were found to have a low bias of around 35 % for the older IASI-LUT product (Van Damme et al, 2014a) depending on the local concentrations, with better performance for regions with high concentrations. The IASI-NNv1.0 product (Whitburn et al, 2016a) showed better performance, reducing the underestimation to ∼ 25 %-40 % depending on the concentration range.…”

Section: Iasimentioning

confidence: 99%

“…1, 2, 3). The CrIS-NH 3 observations have a small bias with respect to in situ data (Dammers et al, 2017b) on the order of 0 %-5 %; however, to account for retrieval errors, we use an uncertainty of 16.5 % following the recent emission study by Adams et al (2019). .…”

Section: Satellite Total Columnsmentioning

confidence: 99%

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NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations

et al. 2019

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Abstract. Ammonia (NH3) is an essential reactive nitrogen species in the biosphere and through its use in agriculture in the form of fertilizer (important for sustaining humankind). The current emission levels, however, are up to 4 times higher than in the previous century and continue to grow with uncertain consequences to human health and the environment. While NH3 at its current levels is a hazard to environmental and human health, the atmospheric budget is still highly uncertain, which is a product of an overall lack of measurements. The capability to measure NH3 with satellites has opened up new ways to study the atmospheric NH3 budget. In this study, we present the first estimates of NH3 emissions, lifetimes and plume widths from large (>∼5 kt yr−1) agricultural and industrial point sources from Cross-track Infrared Sounder (CrIS) satellite observations across the globe with a consistent methodology. The same methodology is also applied to the Infrared Atmospheric Sounding Interferometer (IASI) (A and B) satellite observations, and we show that the satellites typically provide comparable results that are within the uncertainty of the estimates. The computed NH3 lifetime for large point sources is on average 2.35±1.16 h. For the 249 sources with emission levels detectable by the CrIS satellite, there are currently 55 locations missing (or underestimated by more than an order of magnitude) from the current Hemispheric Transport Atmospheric Pollution version 2 (HTAPv2) emission inventory and only 72 locations with emissions within a factor of 2 compared to the inventories. The CrIS emission estimates give a total of 5622 kt yr−1, for the sources analyzed in this study, which is around a factor of ∼2.5 higher than the emissions reported in HTAPv2. Furthermore, the study shows that it is possible to accurately detect short- and long-term changes in emissions, demonstrating the possibility of using satellite-observed NH3 to constrain emission inventories.

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Section: Satellite Total Columnsmentioning

confidence: 86%

Section: Crismentioning

confidence: 99%

Section: Iasimentioning

confidence: 99%

Section: Satellite Total Columnsmentioning

confidence: 99%

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NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations

et al. 2019

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“…Modelled pollutant concentrations of (a) NO x , (b) NH 3 , (c) PM 2.5 , (d) PM 10 and (e) O 3 predicted using the deweather function for R (Carslaw 2017) applied to concatenated time series of hourly measurements at Harwell until 31st December 2015 and at Chilbolton from 11th January 2016. Modelled data have been smoothed by plotting the daily mean predicted concentration.Ammonia has a short atmospheric lifetime and high spatial heterogeneity in its sources(Vogt et al 2013, Dammers et al 2017, so receptor concentrations are significantly influenced by local emissions. The contrasting concentrations at Harwell and Chilbolton are not reflected in the total NAEI estimates of local NH 3 emissions, which show similar averages over the 15 km×15 km area surrounding each site (…”

mentioning

confidence: 99%

Changing supersites: assessing the impact of the southern UK EMEP supersite relocation on measured atmospheric composition

Walker

Heal

Braban

et al. 2019

Environ. Res. Commun.

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In January 2016 the United Kingdom's southern European Monitoring and Evaluation Programme (EMEP) level-2 air pollution monitoring 'supersite' was relocated from Harwell, Oxfordshire to Chilbolton Observatory, Hampshire. As no co-location study was undertaken, this work retrospectively investigates whether the supersite relocation has led to discontinuities in the time series of concentrations of commonly studied gaseous pollutants (NO x , NH 3 , SO 2 and O 3 ) and particulate matter (PM 2.5 and PM 10 ). Two years of measurements pre-and post-relocation (2014-15 and 2016-17 respectively) were analysed in conjunction with meteorological variables and local emission data. The deweather package was applied to the concatenated time series to minimise the influence of meteorology. Similar average concentrations of PM 2.5 , PM 10 , SO 2 and O 3 were observed, but there were substantial differences in that of NO x and NH 3 (increase by factors of ∼1.6 and ∼3, respectively). The considerably higher NH 3 concentrations at Chilbolton are attributed to the close proximity of mixed farmland, in particular to a strong south-westerly source contributing to ∼50% of the annual average. NO x and PM concentrations in easterly winds arriving at Chilbolton are ∼2.7 and ∼1.5 times larger than at Harwell, from sources including the M3 motorway and Greater London. Westerly concentrations of NO x remain similar, therefore despite a higher frequency of westerly wind, annual mean concentrations are larger. Lower concentrations of PM arriving from the west result in similar annual averages. The secondary inorganic and black carbon components of PM were broadly similar between the sites. The differences in average NO x and NH 3 at Chilbolton must be taken into account when considering long-term regional trends based on the southern UK supersite data.

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Immission and Dry Deposition

2021

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Measuring atmospheric ammonia with remote sensing campaign: Part 1 – Characterisation of vertical ammonia concentration profile in the centre of The Netherlands

Cited by 31 publications

References 53 publications

NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations

NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations

Changing supersites: assessing the impact of the southern UK EMEP supersite relocation on measured atmospheric composition

Immission and Dry Deposition

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Measuring atmospheric ammonia with remote sensing campaign: Part 1 – Characterisation of vertical ammonia concentration profile in the centre of The Netherlands

Cited by 31 publications

References 53 publications

NH&lt;sub&gt;3&lt;/sub&gt; emissions from large point sources derived from CrIS and IASI satellite observations

NH&lt;sub&gt;3&lt;/sub&gt; emissions from large point sources derived from CrIS and IASI satellite observations

Changing supersites: assessing the impact of the southern UK EMEP supersite relocation on measured atmospheric composition

Immission and Dry Deposition

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Product

Resources

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NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations

NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations