Towards validation of ammonia (NH&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;) measurements from the IASI satellite

Damme, M. Van; Clarisse, Lieven; Dammers, Enrico; Liu, Xia-Ji; Nowak, J. A.; Clerbaux, Cathy; Flechard, Christophe; Galy-Lacaux, Corinne; Xu, Wei-Jiang; Neuman, J. A.; Tang, Y.S.; Sutton, Mark; Erisman, Jan Willem; Coheur, Pierre-François

doi:10.5194/amt-8-1575-2015

Cited by 85 publications

(136 citation statements)

References 66 publications

(80 reference statements)

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“…High NH 3 concentrations are also observed over the province of Xinjiang in Northwest China, which are likely emitted from animal grazing and remain mainly in gas phase due to lower NO x and SO 2 emissions to generate acids there. TES observations show a strong seasonality, with the national averaged NH 3 column concentration a factor of 2 higher in summer than spring, similar to other satellite NH 3 observations retrieved from AIRS (Warner et al, 2017) and IASI (Van Damme et al, 2015).…”

Section: Adjoint Inversion Of Chinese Nh 3 Emissions With Satellite Osupporting

confidence: 56%

“…Dry deposition calculation follows a standard resistance-in-series model as described by (Wesely, 1989) for gases and Zhang et al (2001) (2009) except for NH 3 as described below. These global and regional inventories are scaled to the simulation year of 2008 using the energy statistics as implemented by van Donkelaar et al (2008). For the prior NH 3 emissions, we use the REAS v2 emission inventory that does not consider any seasonal variation (Kurokawa et al, 2013) so that the inverted emission seasonality is solely from satellite observations.…”

Section: The Geos-chem Modelmentioning

confidence: 99%

“…Satellite observations of atmospheric NH 3 concentration have been emerging in recent years. These satellite instruments include the Tropospheric Emission Spectrometer (TES) (Beer et al, 2008;Shephard et al, 2011), the Infrared Atmospheric Sounding Interferometer (IASI) (Clarisse et al, 2009;Van Damme et al, 2015), the Atmospheric Infrared Sounder (AIRS) (Warner et al, 2016(Warner et al, , 2017, and the Cross-track Infrared Sounder (CrIS) , providing increasingly rich datasets to understand the spatial and temporal variability of NH 3 in the atmosphere.…”

Section: Introductionmentioning

confidence: 99%

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Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

et al. 2018

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Abstract. Current estimates of agricultural ammonia (NH 3 ) emissions in China differ by more than a factor of 2, hindering our understanding of their environmental consequences. Here we apply both bottom-up statistical and top-down inversion methods to quantify NH 3 emissions from agriculture in China for the year 2008. We first assimilate satellite observations of NH 3 column concentration from the Tropospheric Emission Spectrometer (TES) using the GEOS-Chem adjoint model to optimize Chinese anthropogenic NH 3 emissions at the 1/2 • × 2/3 • horizontal resolution for MarchOctober 2008. Optimized emissions show a strong summer peak, with emissions about 50 % higher in summer than spring and fall, which is underestimated in current bottom-up NH 3 emission estimates. To reconcile the latter with the topdown results, we revisit the processes of agricultural NH 3 emissions and develop an improved bottom-up inventory of Chinese NH 3 emissions from fertilizer application and livestock waste at the 1/2 • × 2/3 • resolution. Our bottom-up emission inventory includes more detailed information on crop-specific fertilizer application practices and better accounts for meteorological modulation of NH 3 emission factors in China. We find that annual anthropogenic NH 3 emissions are 11.7 Tg for 2008, with 5.05 Tg from fertilizer application and 5.31 Tg from livestock waste. The two sources together account for 88 % of total anthropogenic NH 3 emissions in China. Our bottom-up emission estimates also show a distinct seasonality peaking in summer, consistent with topdown results from the satellite-based inversion. Further evaluations using surface network measurements show that the model driven by our bottom-up emissions reproduces the observed spatial and seasonal variations of NH 3 gas concentrations and ammonium (NH + 4 ) wet deposition fluxes over China well, providing additional credibility to the improvements we have made to our agricultural NH 3 emission inventory.

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Section: Adjoint Inversion Of Chinese Nh 3 Emissions With Satellite Osupporting

confidence: 56%

Section: The Geos-chem Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

et al. 2018

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“…Measurements are also very sparse. Currently, observations of NH 3 are mostly available in north-western Europe and central North America, supplemented by a small number of observations made in China (Van Damme et al, 2015b). Furthermore, there is a lack of detailed information on its vertical distribution as only a few dedicated airborne measurements are available (Nowak et al, 2007(Nowak et al, , 2010; Leen et al, 2013;Whitburn et al, 2015;.…”

Section: Introductionmentioning

confidence: 99%

“…However, the overall quality of the satellite observations is still highly uncertain due to a lack of validation. The few validation studies showed a limited vertical, spatial and or temporal coverage of surface observations for a proper uncertainty analysis (Van Damme et al, 2015b;Sun et al, 2015). A recent study by Dammers et al (2016a) explored the use of Fourier transform infrared (FTIR-NH 3 , Dammers et al, 2015) observations to evaluate the uncertainty of the IASI-NH 3 total column product.…”

Section: Introductionmentioning

confidence: 99%

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

et al. 2017

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Abstract. Presented here is the validation of the CrIS (Cross-track Infrared Sounder) fast physical NH 3 retrieval (CFPR) column and profile measurements using groundbased Fourier transform infrared (FTIR) observations. We use the total columns and profiles from seven FTIR sites in the Network for the Detection of Atmospheric Composition Change (NDACC) to validate the satellite data products. The overall FTIR and CrIS total columns have a positive correlation of r = 0.77 (N = 218) with very little bias (a slope of 1.02). Binning the comparisons by total column amounts, for concentrations larger than 1.0 × 10 16 molecules cm −2 , i.e. ranging from moderate to polluted conditions, the relative difference is on average ∼ 0-5 % with a standard deviation of 25-50 %, which is comparable to the estimated retrieval uncertainties in both CrIS and the FTIR. For the smallest total column range (< 1.0x × 10 16 molecules cm −2 ) where there are a large number of observations at or near the CrIS noise level (detection limit) the absolute differences between CrIS and the FTIR total columns show a slight positive column bias. The CrIS and FTIR profile comparison differences are mostly within the range of the single-level retrieved profile values from estimated retrieval uncertainties, showing average differences in the range of ∼ 20 to 40 %. The CrIS retrievals typically show good vertical sensitivity down into the boundary layer which typically peaks at ∼ 850 hPa (∼ 1.5 km). At this level the median absolute difference is 0.87 (std = ±0.08) ppb, corresponding to a median relative difference of 39 % (std = ±2 %). Most of the absolute andPublished by Copernicus Publications on behalf of the European Geosciences Union. 2646 E. Dammers et al.: Validation of the CrIS fast physical NH 3 retrieval with ground-based FTIR relative profile comparison differences are in the range of the estimated retrieval uncertainties. At the surface, where CrIS typically has lower sensitivity, it tends to overestimate in low-concentration conditions and underestimate in higher atmospheric concentration conditions.

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Towards validation of ammonia (NH<sub>3</sub>) measurements from the IASI satellite

Cited by 85 publications

References 66 publications

Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

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Towards validation of ammonia (NH&lt;sub&gt;3&lt;/sub&gt;) measurements from the IASI satellite

Cited by 85 publications

References 66 publications

Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates

Validation of the CrIS fast physical NH&lt;sub&gt;3&lt;/sub&gt; retrieval with ground-based FTIR

Contact Info

Product

Resources

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Towards validation of ammonia (NH<sub>3</sub>) measurements from the IASI satellite

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR