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http://hdl.handle.net/20.500.11765/9257
Mapping carbon monoxide pollution from space down to city scales with daily global coverage
Title: | Mapping carbon monoxide pollution from space down to city scales with daily global coverage |
Authors: | Borsdorff, Tobias; Aan de Brugh, Joost; Hu, Haili; Hasekamp, Otto; Sussmann, Ralf; Rettinger, Markus; Hase, Frank; Gross, Jochen; Schneider, Matthias
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Keywords: | Carbon monoxide; Pollution; Tropospheric Monitoring Instrument |
Issue Date: | 2018 |
Publisher: | European Geosciences Union |
Citation: | Atmospheric Measurement Techniques. 2018, 11(10), p. 5507–5518 |
Publisher version: | https://dx.doi.org/10.5194/amt-11-5507-2018 |
Abstract: | On 13th October, 2017, the European Space Agency (ESA) successfully launched the Sentinel-5 Precursor satellite with the Tropospheric Monitoring Instrument (TROPOMI) as its single payload. TROPOMI is the first of ESA’s atmospheric composition Sentinel missions, which will provide complete long-term records of atmospheric trace gases for the coming 30 years as a contribution to the European Union’s Earth Observing programme Copernicus. One of TROPOMI’s primary products is atmospheric carbon monoxide (CO). It is observed with daily global coverage and a high spatial resolution of 7x7 km2. Due to its moderate atmospheric residence time, its atmospheric abundance provides information on both localized pollution hot spots and the pollutant transport on regional to global scales. In this contribution, we demonstrate the gamechanging performance of the TROPOMI CO product, sensing CO enhancements above cities and industrial areas and tracking, with daily coverage, the atmospheric transport of pollution from biomass burning regions. The CO data product is validated with two months of Fourier-transform spectroscopy (FTS) measurements at nine ground-based stations operated by the Total Carbon Column Observing Network (TCCON). We found a good agreement between both data sets with a mean bias of 6 ppb for both clear-sky and cloudy TROPOMI CO retrievals. Together with the corresponding standard deviation of the station-tostation bias of 3.9 ppb for clear-sky and 2.4 ppb for cloudy-sky, it indicates that the CO data product is already well within the mission requirement. |
Sponsorship : | This research has been funded in part by the TROPOMI national program from the NSO. |
URI: | http://hdl.handle.net/20.500.11765/9257 |
ISSN: | 1680-7316 1680-7324 |
Appears in Collections: | Artículos científicos 2015-2018 |
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