Impact of Short‐Term Climate Variability on Volatile Organic Compounds Emissions Assessed Using OMI Satellite Formaldehyde Observations

Stavrakou, Trissevgeni; Müller, Jean-François; Bauwens, Maïté; Smedt, Isabelle De; Roozendaël, Michel Van

doi:10.1029/2018gl078676

Cited by 38 publications

(44 citation statements)

References 63 publications

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“…Regional simulations of tropospheric composition over the U.S. and the Middle East are conducted with the Model of Atmospheric composition at Global and Regional scales using Inversion Techniques for Trace gas Emissions (MAGRITTEv1.1) for 2005-2017 at a resolution of 0.5° × 0.5° with 40 vertical levels. MAGRITTE uses lateral boundary conditions from the IMAGES model[26][27][28][29] , and inherits most model parameterisations from this model. Chemistry is solved by a…”

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confidence: 99%

Satellite evidence for changes in the NO2 weekly cycle over large cities

Stavrakou

Müller

Bauwens

et al. 2020

Sci Rep

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Anthropogenic activities, by far the largest source of nox into the atmosphere, induce a weekly cycle of no 2 abundances in cities. Comprehensive analysis of the 2005-2017 OMI NO 2 dataset reveals significant weekly cycles in 115 of the 274 cities considered. These results are corroborated by a full year of highresolution tRopoMi no 2 observations. the oMi dataset permits us to identify trends in the weekly cycle resulting from nox emissions changes. the data show a clear weakening of the weekly cycle over european and U.S. cities, an evolution attributed to the decline in anthropogenic emissions and the resulting growing importance of background no 2 , whereas no 2 lifetime changes also play a minor role. in particular, the Sunday no 2 columns averaged over all U.S. cities are found to increase, relative to the weekly average, from 0.72 during 2005-2007 to 0.88 in 2015-2017. The opposite tendency is recorded in regions undergoing rapid emission growth. Multiyear simulations over the U.S. and the Middle east using the chemistry-transport model MAGRITTEv1.1 succeed in capturing the observed weekly cycles over the largest cities, as well as the observed long-term trends in the weekly cycle. Nitrogen oxides (NOx = NO 2 + NO) play a key role in atmospheric chemistry: they catalyse tropospheric ozone formation, they impact the self-cleaning capacity of the atmosphere, and they are precursors of secondary inorganic aerosol, with consequences for climate and human health 1. Fossil fuel combustion is the dominant source of NOx in the atmosphere, estimated at ~60% of the global total, whereas emissions from vegetation fires, lightning and soils make up the rest 2. Because of their relation to human activities, anthropogenic NOx emissions often display a weekly cycle, with reduced NOx levels in and around cities on rest days. Similar cycles have been also observed for other pollutants, e.g. aerosols 3,4 , and for meteorological parameters such as cloudiness 4,5. The NOx weekly cycle was previously investigated using ground-based, aircraft and satellite measurements 6-8 , whereas spatial patterns observed from satellites were used to study the urban photochemistry with the help of models 9. These studies, however, rely either on relatively short data records of at most several months 8,9 or on satellite data from coarse resolution sounders 6,7. Here we use NO 2 column data from two nadir-viewing satellite sensors, the Ozone Monitoring Instrument (OMI 10) launched in July 2004, and the high-resolution Tropospheric Monitoring Instrument (TROPOMI), single payload of the Sentinel-5 Precursor (S5P) launched in October 2017 11. Both sensors have an equatorial crossing time of ca. 13:40 (local time), and provide daily global coverage at resolutions of 13 × 24 km 2 and 7.2 × 3.5 km 2 (at nadir) for OMI and TROPOMI, respectively. The long data record compiled for this study (2005-2019) and the high resolution of both instruments allows to provide more robust information on the NO 2 weekly cycle over a larger number of cities around ...

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Satellite evidence for changes in the NO2 weekly cycle over large cities

Stavrakou

Müller

Bauwens

et al. 2020

Sci Rep

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“…Typically, the measurements range from the upper troposphere down to close to the surface. These profiles were then completed from the last available altitude by profiles from the chemistry‐transport model IMAGESv2 (Müller, Stavrakou & Peeters ; Müller, Stavrakou, Bauwens, et al, ; Stavrakou et al, ) sampled at the time and location of the aircraft profiles and finally integrated to obtain acetone total columns. Examples of composite aircraft‐IMAGES profiles and further information are provided in Figure S4.…”

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confidence: 99%

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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“…A full description of the retrieval algorithm, uncertainty analysis and auxiliary data is provided in [43]. Satellite HCHO observations are widely used to gain knowledge on NMVOC emissions, tropospheric ozone formation and biogenic aerosols [44]. Uncertainties in satellite HCHO observations are dominated by their random component.…”

Section: Hchomentioning

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Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications

Nightingale¹,

Boersma²,

Müller³

et al. 2018

Preprint

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Data from Earth Observation (EO) satellites are increasingly used to monitor the environment, understand variability and change, inform evaluations of climate model forecasts and manage natural resources. Policy makers are progressively relying on the information derived from these datasets to make decisions on mitigating and adapting to climate change. These decisions should be evidence based, which requires confidence in derived products as well as the reference measurements used to calibrate, validate or inform product development. In support of the European Union’s Earth Observation Programmes Copernicus Climate Change Service, the Quality Assurance for Essential Climate Variables (QA4ECV) project fulfilled a gap in the delivery of climate quality satellite derived datasets by prototyping a robust, generic system for the implementation and evaluation of Quality Assurance (QA) measures for satellite-derived ECV climate data record products. The project demonstrated the QA system on six new long-term, climate quality ECV data records for surface Albedo, Leaf Area Index, FAPAR, NO2, HCHO and CO. Provision of standardized QA information provides data users with evidence-based confidence in the products and enables judgement on the fitness-for-purpose of various ECV data products their specific applications.

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Impact of Short‐Term Climate Variability on Volatile Organic Compounds Emissions Assessed Using OMI Satellite Formaldehyde Observations

Cited by 38 publications

References 63 publications

Satellite evidence for changes in the NO2 weekly cycle over large cities

Satellite evidence for changes in the NO2 weekly cycle over large cities

Acetone Atmospheric Distribution Retrieved From Space

Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications

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