A General Framework for Global Retrievals of Trace Gases From IASI: Application to Methanol, Formic Acid, and PAN

Franco, Bruno; Clarisse, Lieven; Stavrakou, Trissevgeni; Müller, Jean-François; Damme, Martin Van; Whitburn, Simon; Hadji‐Lazaro, Juliette; Hurtmans, Daniel; Taraborrelli, Domenico; Clerbaux, Cathy; Coheur, Pierre‐François

doi:10.1029/2018jd029633

Cited by 52 publications

(105 citation statements)

References 85 publications

(168 reference statements)

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“…These are especially apparent between the continents and the Arctic Ocean, and between Northern Canada and the Hudson Bay (Figure ). The same discontinuities were also observed with other OVOCs (Franco et al, ). From a theoretical viewpoint, there is no reason for this to happen, as the NNs are perfectly capable of taking into account large differences in surface temperature.…”

Section: Resultssupporting

confidence: 84%

“…Anthropogenic acetone precursors from the continents likely form a year-round component of those, while the strong enhancement in summer can be attributed to an increased contribution from biogenic sources. • IASI-derived acetone is only moderately enhanced in the tropics during the fire season (October-November), unlike methanol, formic acid, or PAN retrieved with the same ANNI method (Franco et al, 2018). This likely stems from the limited emissions of both acetone and its isoalkane precursors in biomass burning (Akagi et al, 2011) and argues against fires being a dominant driver of the global acetone budget.…”

Section: Global Distributionmentioning

confidence: 95%

“…Onboard the Metop satellite platforms, the nadir‐viewing IASI (Infrared Atmospheric Sounding Interferometer) instruments have been shown capable of detecting 24 atmospheric gasses in the thermal infrared (Clarisse et al, ; Clerbaux et al, ; Coheur et al, ), and in particular several OVOCs. Recently, a flexible, computationally efficient neural network (NN)‐based approach for retrieving gas abundance from IASI spectra was presented that allows the production of new and/or updated daily global distributions of ammonia (Van Damme et al, ; Whitburn et al, ), methanol, formic acid, PAN (Franco et al, ), and dust (Clarisse et al, ). Here we report—to the best of our knowledge—the first detection of acetone by a nadir sounder and apply this retrieval method on IASI spectra to generate the first daily global distributions of acetone.…”

Section: Introductionmentioning

confidence: 99%

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Acetone Atmospheric Distribution Retrieved From Space

Franco

Clarisse

Stavrakou

et al. 2019

Geophysical Research Letters

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As one of the most abundant oxygenated volatile organic compounds in the atmosphere, acetone (CH3C[O]CH3) influences atmospheric oxidants levels and ozone formation. Here we report the first unambiguous identification of acetone from the nadir‐viewing satellite sounder Infrared Atmospheric Sounding Interferometer (IASI). Via a neural network‐based retrieval approach that was previously applied to the retrieval of other weak absorbers, we obtain daily global acetone retrievals. A first intercomparison with independent measurements is conducted. As the retrieval method is computationally fast, it allowed the full reprocessing of the 2007–2018 IASI time series. Analysis of the retrieved global product and its seasonality suggests that emissions of acetone and precursors from the terrestrial biosphere at Northern Hemisphere middle and high latitudes are the main contributors to the atmospheric acetone abundance, more than year‐round oxidation of anthropogenic isoalkanes. Remarkably, biomass burning does not appear to be a strong global source of acetone.

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Section: Resultssupporting

confidence: 84%

Section: Global Distributionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Acetone Atmospheric Distribution Retrieved From Space

Franco

Clarisse

Stavrakou

et al. 2019

Geophysical Research Letters

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“…The IASI NH 3 total columns (IASI ANNI-NH3-v3) are retrieved using an artificial neural network retrieval algorithm, with ERA5 meteorological reanalysis input data (Van Damme et al, 2017;Franco et al, 2018). Due to this retrieval scheme, there are no averaging kernels nor vertical sensitivity information for the retrieved columns .…”

Section: Iasi Measurementsmentioning

confidence: 99%

Multiscale observations of NH3 around Toronto, Canada

Yamanouchi

Viatte

Strong

et al. 2020

Preprint

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<div> <div> <div> <p>Ammonia (NH<sub>3</sub>) is a major source of nitrates in the atmosphere, and a major source of fine particulate matter. As such, there have been increasing efforts to monitor NH<sub>3</sub>. This study examines long-term measurements of NH<sub>3</sub> around Toronto, Canada, derived from three multiscale datasets: 16 years of total column measurements using ground-based Fourier transform infrared (FTIR) spectroscopy, three years of surface in-situ measurements, and ten years of total columns from the Infrared Atmospheric Sounding Interferometer (IASI) sensor onboard the Metop satellites. These datasets were used to quantify NH<sub>3</sub> temporal variabilities (trends, inter-annual, seasonal) over Toronto to assess the observational footprint of the FTIR measurements, and two case studies of pollution events due to transport of biomass burning plumes.</p> <p>All three timeseries showed increasing trends in NH<sub>3</sub> over Toronto: 3.34 &#177; 0.44 %/year from 2002 to 2018 in the FTIR columns, 8.88 &#177; 2.49 %/year from 2013 to 2017 in the surface in-situ data, and 8.78 &#177; 0.84 %/year from 2008 to 2018 in the IASI columns. To assess the observational footprint of the FTIR NH<sub>3</sub> columns, correlations between the datasets were examined. The best correlation between FTIR and IASI was found for coincidence criterion of &#8804; 50 km and &#8804; 20 minutes, with r = 0.66 and a slope of 0.988 &#177; 0.058. The FTIR column and in-situ measurements were standardized and correlated, with 24-day averages and monthly averages yielding correlation coefficients of r = 0.72 and r = 0.75, respectively.<br>FTIR and IASI were also compared against the GEOS-Chem model, run at 2&#176; by 2.5&#176; resolution, to assess model performance and investigate correlation of the model output with local column measurements (FTIR) and measurements on a regional scale (IASI). Comparisons on a regional scale (domain spanning from 35&#176;N to 53&#176;N, and 93.75&#176;W to 63.75&#176;W) resulted in r = 0.62, and thus a coefficient of determination, which is indicative of the predictive capacity of the model, of r<sup>2</sup> = 0.38, but comparing a single model grid point against the FTIR resulted in a poorer correlation, with r<sup>2</sup> = 0.26, indicating that a finer spatial resolution is needed to adequately model the variability of NH<sub>3</sub>. This study also examines two case studies of NH<sub>3</sub> enhancements due to biomass burning plumes, in August 2014 and May 2016. In these events, enhancements in both the total columns and surface NH3, were observed.</p> </div> </div> </div>

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“…The RMS of the residuals is about 0.498 % and 0.505% 190 in the two spectral windows, respectively. The IASI NH3 data used here are part of the ANNI-NH3-v3R retrieval product (Van Damme et al, 2014a;Whitburn et al, 2016;Van Damme et al, 2017;Franco et al, 2018). A few comparison studies have been performed to validate the IASI-NH3 data product using independent ground-based or airborne measurements (Van Damme et al, 2015a;Dammers et al, 2016).…”

Section: Retrieval Methodsmentioning

confidence: 99%

Spatial distribution and seasonal variability in atmospheric ammonia measured from ground-based FTIR observations at Hefei, China

Wang

Liu

Clarisse

et al. 2020

Preprint

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Abstract. Atmospheric ammonia (NH3) plays an important role in the formation of fine particulate matter, leading to severe environmental degradation and human health issues. In this work, ground-based FTIR observations are used to obtain the total columns and vertical profiles of atmospheric NH3 at a measurement site in Hefei, China, from December 2016 to November 2018. The spatial distribution and temporal variation, seasonal trend, emission sources and potential sources of NH3 are analyzed. The time series of ammonia columns show that FTIR observations captured the seasonal cycle of NH3 over the two years of measurement, with a 22.14 % yr-1 annual increase rate over the Hefei site. We used IASI satellite data to compare with the FTIR data, and the correlation coefficients (R) between the two datasets are 0.86 and 0.78 for IASI-A and IASI-B, respectively. The results demonstrate the IASI data are in broad agreement with our FTIR data. To examine the contribution of traffic to NH3 columns, we analyze the relationship of NH3 columns with CO surface concentrations. NH3 columns show high correlation (R = 0.77) with CO concentrations in summer, indicating that the elevated NH3 columns are partly caused by urban emissions from vehicles. Further, high correlation of NH3 columns with air temperature is obvious from their diurnal variation during the observation period. In addition, the clear correlation between NH3 columns and air temperature in spring and autumn over Hefei, suggests that agriculture was indeed the main source of ammonia in spring and autumn. Furthermore, the back trajectories of air masses calculated by the HYSPLIT model confirmed that agriculture was the dominant source of ammonia in spring, autumn and winter, while urban anthropogenic emissions contributed to the high level of NH3 in summer over the Hefei site. The potential source areas influencing the NH3 columns were distributed in the local area of Hefei, the northern part of Anhui province, as well as Shangdong, Jiangsu and Henan provinces. This study helps to identify the emission sources and potential sources that contribute to NH3 columns over Hefei, a highly populated and polluted area. This is the first time that ground-based FTIR remote sensing of NH3 columns and comparison with satellite data are reported in China.

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A General Framework for Global Retrievals of Trace Gases From IASI: Application to Methanol, Formic Acid, and PAN

Cited by 52 publications

References 85 publications

Acetone Atmospheric Distribution Retrieved From Space

Acetone Atmospheric Distribution Retrieved From Space

Multiscale observations of NH3 around Toronto, Canada

Spatial distribution and seasonal variability in atmospheric ammonia measured from ground-based FTIR observations at Hefei, China

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