Worldwide spatiotemporal atmospheric ammonia (NH<sub>3</sub>
) columns variability revealed by satellite

Damme, Martin Van; Erisman, J. W.; Clarisse, Lieven; Dammers, Enrico; Clerbaux, Cathy; Dolman, A. J.; Coheur, Pierre‐François

doi:10.1002/2015gl065496

Cited by 81 publications

(62 citation statements)

References 57 publications

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“…NH 3 column total concentrations at Bremen (Blue line) have a seasonal cycle with highest levels during spring, the summer months and autumn. The maximum concentrations occur around April, which is consistent with temporal emission patterns for manure application reported for this region (Friedrich and Reis, 2004;Van Damme et al, 2015b;Paulot et al, 2014). The baseline variability with higher concentrations in summer can be explained by an increase in volatilization rates of NH 3 , emitted from livestock housing, which is driven by animal activity and temperature (Gyldenkaerne et al, 2005).…”

Section: Uncertainties Budgetsupporting

confidence: 70%

“…6). NH 3 surface concentration measurements are not available for this region but a recent paper by Van Damme et al (2015b), which uses IASI-NH 3 observations, shows similar seasonal cycles for the south-eastern parts of Africa (Madagascar). Temperature is almost constant throughout the year and is not a major factor in the seasonality of Réu-nion.…”

Section: Time Seriesmentioning

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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Section: Uncertainties Budgetsupporting

confidence: 70%

Section: Time Seriesmentioning

confidence: 99%

Retrieval of ammonia from ground-based FTIR solar spectra

et al. 2015

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“…2) Improvement in representation of the spring peak in NH 3 concentrations -the peak is shorter if compared with the BASE run and better reflects the observed high values of NH 3 concentrations for agricultural stations. This spring peak gradually progresses northward according to the progression of crop growth and is in agreement with both satellite [55] and ground-based observations [50]. 3) Capture of individual peaks in March, July, and August for non-agricultural stations.…”

Section: Model Evaluation For the Base And Dynamicsupporting

confidence: 67%

Ammonia Concentrations Over Europe – Application of the WRF-Chem Model Supported with Dynamic Emission

Werner¹,

Kryza²,

Geels³

et al. 2017

Pol. J. Environ. Stud.

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“…S5a). The neutralized PM 1 were likely due to the high availability of ammonia from agriculture emission in northern India (Clarisse et al, 2009;Van Damme et al, 2015). The slope was ∼ 0.75 during P2 (green circles, Fig.…”

Section: The Temporal Variations Of Chemical Speciesmentioning

confidence: 99%

Chemical characteristics of submicron particles at the central Tibetan Plateau: insights from aerosol mass spectrometry

Zhang

Shi

et al. 2018

Atmos. Chem. Phys.

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Abstract. Recent studies have revealed a significant influx of anthropogenic aerosol from South Asia to the Himalayas and Tibetan Plateau (TP) during pre-monsoon period. In order to characterize the chemical composition, sources, and transport processes of aerosol in this area, we carried out a field study during June 2015 by deploying a suite of online instruments including an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-AMS) and a multi-angle absorption photometer (MAAP) at Nam Co station (90 • 57 E, 30 • 46 N; 4730 m a.s.l.) at the central of the TP. The measurements were made at a period when the transition from premonsoon to monsoon occurred. The average ambient mass concentration of submicron particulate matter (PM 1 ) over the whole campaign was ∼ 2.0 µg m −3 , with organics accounting for 68 %, followed by sulfate (15 %), black carbon (8 %), ammonium (7 %), and nitrate (2 %). Relatively higher aerosol mass concentration episodes were observed during the pre-monsoon period, whereas persistently low aerosol concentrations were observed during the monsoon period. However, the chemical composition of aerosol during the higher aerosol concentration episodes in the pre-monsoon season was on a case-by-case basis, depending on the prevailing meteorological conditions and air mass transport routes. Most of the chemical species exhibited significant diurnal variations with higher values occurring during afternoon and lower values during early morning, whereas nitrate peaked during early morning in association with higher relative humidity and lower air temperature. Organic aerosol (OA), with an oxygen-to-carbon ratio (O / C) of 0.94, was more oxidized during the pre-monsoon period than during monsoon (average O / C ratio of 0.72), and an average O / C was 0.88 over the entire campaign period, suggesting overall highly oxygenated aerosol in the central TP. Positive matrix factorization of the high-resolution mass spectra of OA identified two oxygenated organic aerosol (OOA) factors: a less oxidized OOA (LO-OOA) and a more oxidized OOA (MO-OOA). The MO-OOA dominated during the pre-monsoon period, whereas LO-OOA dominated during monsoon. The sensitivity of air mass transport during pre-monsoon with synoptic process was also evaluated with a 3-D chemical transport model.

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Worldwide spatiotemporal atmospheric ammonia (NH₃ ) columns variability revealed by satellite

Cited by 81 publications

References 57 publications

Retrieval of ammonia from ground-based FTIR solar spectra

Retrieval of ammonia from ground-based FTIR solar spectra

Ammonia Concentrations Over Europe – Application of the WRF-Chem Model Supported with Dynamic Emission

Chemical characteristics of submicron particles at the central Tibetan Plateau: insights from aerosol mass spectrometry

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Worldwide spatiotemporal atmospheric ammonia (NH3 ) columns variability revealed by satellite

Cited by 81 publications

References 57 publications

Retrieval of ammonia from ground-based FTIR solar spectra

Retrieval of ammonia from ground-based FTIR solar spectra

Ammonia Concentrations Over Europe – Application of the WRF-Chem Model Supported with Dynamic Emission

Chemical characteristics of submicron particles at the central Tibetan Plateau: insights from aerosol mass spectrometry

Contact Info

Product

Resources

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Worldwide spatiotemporal atmospheric ammonia (NH₃ ) columns variability revealed by satellite