Evaluating 4 years of atmospheric ammonia (NH3) over Europe using IASI satellite observations and LOTOS‐EUROS model results

Damme, Martin Van; Kruit, R.J. Wichink; Schaap, Martijn; Clarisse, Lieven; Clerbaux, Cathy; Coheur, P.-F.; Dammers, Enrico; Dolman, A. J.; Erisman, J. W.

doi:10.1002/2014jd021911

Cited by 78 publications

(84 citation statements)

References 122 publications

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“…The CrIS-FRP-NH 3 science grade (non-operational) data products used in this study can be made available on request (M. W. Shephard, Environment and Climate Change Canada, Toronto, Ontario, Canada). The IASI-NH 3 product is freely available at http://www.pole-ether.fr/etherTypo/ index.php?id=1700&L=1 (Van Damme et al, 2015a Figure A1. Correlation between the FTIR and the IASI-LUT (a, blue) and IASI-NN (b, red) total columns using the coincident data from all measurement sites.…”

Section: Discussionmentioning

confidence: 99%

“…Recent studies show the global distribution of NH 3 measured at a twice daily scale (Van Damme et al, 2014a, 2015a can reveal seasonal cycles and distributions for regions where measurements were unavailable until now. Comparisons of these observations to surface observations and model simulations show underestimations of the modelled NH 3 concentration levels, pointing to underestimated regional and national emissions Shephard et al, 2011;Heald et al, 2012;Nowak et al, 2012;Zhu et al, 2013;Van Damme et al, 2014b;Lonsdale et al, 2017;Schiferl et al, 2014Schiferl et al, , 2016. However, the overall quality of the satellite observations is still highly uncertain due to a lack of validation.…”

Section: Introductionmentioning

confidence: 99%

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Validation of the CrIS fast physical NH3 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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of the CrIS fast physical NH3 retrieval with ground-based FTIR

et al. 2017

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“…Recent advances in open-path remote sensing techniques, like (mini-)differential optical absorption spectroscopy (DOAS) systems and open-path quantum cascade laser (QCL) instruments, show great potential in overcoming part of these sampling issues (Volten et al, 2012;Miller et al, 2014), but are still in the development stage and not widely applied yet. Another aspect is the lack of vertical information, as most instruments only measure surface concentrations (Erisman et al, 2007(Erisman et al, , 2008Van Damme et al, 2015a). Some recent airborne measurements have been made (Nowak et al, 2007(Nowak et al, , 2010Leen et al, 2013), but only during dedicated campaigns with limited temporal and spatial coverage.…”

Section: E Dammers Et Al: Retrieval Of Ammonia From Ground-based Ftmentioning

confidence: 99%

“…Remote sensing products from atmospheric satellite sounders such as the Infrared Atmospheric Sounding Interferometer (IASI), the Tropospheric Emission Spectrometer (TES) and the Cross-track Infrared Sounder (CrIS) (Van Damme et al, 2014a;Shephard et al, 2011 have become available and show good promise to improve NH 3 concentration monitoring (Van Damme et al 2014b;Luo et al, 2015;Whitburn et al, 2015). However, these data sets are constrained by the overpass time of the satellite and the atmospheric conditions (cloud coverage, thermal contrast, etc.).…”

Section: E Dammers Et Al: Retrieval Of Ammonia From Ground-based Ftmentioning

confidence: 99%

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Retrieval of ammonia from ground-based FTIR solar spectra

et al. 2015

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Abstract. We present a retrieval method for ammonia (NH 3 ) total columns from ground-based Fourier transform infrared (FTIR) observations. Observations from Bremen (53.10 15 molecules cm −2 ). In conditions with high surface concentrations of ammonia, as in Bremen, it is possible to retrieve information on the vertical gradient, as two layers can be distinguished. The retrieval there is most sensitive to ammonia in the planetary boundary layer, where the trace gas concentration is highest. For conditions with low concentrations, only the total column can be retrieved. Combining the systematic and random errors we have a mean total error of 26 % for all spectra measured at Bremen (number of spectra (N) = 554), 30 % for all spectra from Lauder (N = 2412), 25 % for spectra from Réunion (N = 1262) and 34 % for spectra measured at Jungfraujoch (N = 2702). The error is dominated by the systematic uncertainties in the spectroscopy parameters. Station-specific seasonal cycles were found to be consistent with known seasonal cycles of the dominant ammonia sources in the station surroundings. The developed retrieval methodology from FTIR instruments provides a new way of obtaining highly timeresolved measurements of ammonia burdens. FTIR-NH 3 observations will be useful for understanding the dynamics of ammonia concentrations in the atmosphere and for satellite and model validation. It will also provide additional information to constrain the global ammonia budget.

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Validation of TES ammonia observations at the single pixel scale in the San Joaquin Valley during DISCOVER‐AQ

et al. 2015

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Ammonia measurements from a vehicle-based, mobile open-path sensor and those from aircraft were compared with Tropospheric Emission Spectrometer (TES) NH 3 columns at the pixel scale during the NASA Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality field experiment. Spatial and temporal mismatches were reduced by having the mobile laboratory sample in the same areas as the TES footprints. To examine how large heterogeneities in the NH 3 surface mixing ratios may affect validation, a detailed spatial survey was performed within a single TES footprint around the overpass time. The TES total NH 3 column above a single footprint showed excellent agreement with the in situ total column constructed from surface measurements with a difference of 2% (within the combined measurement uncertainties). The comparison was then extended to a TES transect of nine footprints where aircraft data (5-80 ppbv) were available in a narrow spatiotemporal window (<10 km, <1 h). The TES total NH 3 columns above the nine footprints agreed to within 6% of the in situ total columns derived from the aircraft-based measurements. Finally, to examine how TES captures surface spatial gradients at the interpixel scale, ground-based, mobile measurements were performed directly underneath a TES transect, covering nine footprints within ±1.5 h of the overpass. The TES total columns were strongly correlated (R 2 = 0.82) with the median NH 3 mixing ratios measured at the surface. These results provide the first in situ validation of the TES total NH 3 column product, and the methodology is applicable to other satellite observations of short-lived species at the pixel scale.

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Evaluating 4 years of atmospheric ammonia (NH₃) over Europe using IASI satellite observations and LOTOS‐EUROS model results

Cited by 78 publications

References 122 publications

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

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

Retrieval of ammonia from ground-based FTIR solar spectra

Validation of TES ammonia observations at the single pixel scale in the San Joaquin Valley during DISCOVER‐AQ

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Evaluating 4 years of atmospheric ammonia (NH3) over Europe using IASI satellite observations and LOTOS‐EUROS model results

Cited by 78 publications

References 122 publications

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

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

Retrieval of ammonia from ground-based FTIR solar spectra

Validation of TES ammonia observations at the single pixel scale in the San Joaquin Valley during DISCOVER‐AQ

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Evaluating 4 years of atmospheric ammonia (NH₃) over Europe using IASI satellite observations and LOTOS‐EUROS model results

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

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