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  A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor

Schneising, O., Buchwitz, M., Reuter, M., Bovensmann, H., Burrows, J. P., Borsdorff, T., et al. (2019). A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor. Atmospheric Measurement Techniques, 12(12), 6771-68802. doi:10.5194/amt-12-6771-2019.

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http://dx.doi.org/10.5194/amt-12-6771-2019 (Publisher version)
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 Creators:
Schneising, Oliver, Author
Buchwitz, Michael, Author
Reuter, Maximilian, Author
Bovensmann, Heinrich, Author
Burrows, John P., Author
Borsdorff, Tobias, Author
Deutscher, Nicholas M., Author
Feist, Dietrich G.1, Author              
Griffith, David W. T., Author
Hase, Frank, Author
Hermans, Christian, Author
Iraci, Laura T., Author
Kivi, Rigel, Author
Landgraf, Jochen, Author
Morino, Isamu, Author
Notholt, Justus, Author
Petri, Christof, Author
Pollard, David F., Author
Roche, Sébastien, Author
Shiomi, Kei, Author
Strong, Kimberly, AuthorSussmann, Ralf, AuthorVelazco, Voltaire A., AuthorWarneke, Thorsten, AuthorWunch, Debra, Author more..
Affiliations:
1Atmospheric Remote Sensing Group, Dr. D. Feist, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497783              

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 Abstract: Carbon monoxide (CO) is an important atmospheric constituent affecting air quality and methane (CH4) is the second most important greenhouse gas contributing to human-induced climate change. Detailed and continuous observations of these gases are necessary to better assess their impact on climate and atmospheric pollution. While surface and airborne measurements are able to accurately determine atmospheric abundances on local scales, global coverage can only be achieved using satellite instruments. The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor satellite, which was successfully launched in October 2017, is a spaceborne nadir viewing imaging spectrometer measuring solar radiation reflected by the Earth in a push-broom configuration. It has a wide swath on the terrestrial surface and covers wavelength bands between the ultraviolet (UV) and the shortwave infrared (SWIR) combining a high spatial resolution with daily global coverage. These characteristics enable the determination of both gases with unprecedented level of detail on a global scale introducing new areas of application. Abundances of the atmospheric column-averaged dry air mole fractions XCO and XCH4 are simultaneously retrieved from TROPOMI's radiance measurements in the 2.3 μm spectral range of the SWIR part of the solar spectrum using the scientific retrieval algorithm Weighting Function Modified DOAS (WFM-DOAS). We introduce the algorithm in detail, including expected error characteristics based on synthetic data, a machine learning-based quality filter and a shallow learning calibration procedure applied in the post-processing of the XCH4 data. The quality of the results based on real TROPOMI data is assessed by validation with ground-based Fourier Transform Spectrometer (FTS) measurements providing realistic error estimates of the satellite data: The XCO data set is characterised by a random error of 5.1 ppb (5.7 %) and a systematic error of 1.9 ppb (2.1 %); the XCH4 data set exhibits a random error of 14.0 ppb (0.8 %) and a systematic error of 4.4 ppb (0.2 %). The natural XCO and XCH4 variations are well captured by the satellite retrievals, which is demonstrated by a high correlation to the reference data (R = 0.97 for XCO and R = 0.91 for XCH4 based on daily averages). We also present selected results from mission start until end of 2018, including a first comparison to the operational products and examples of the detection of emission sources in a single satellite overpass, such as CO emissions from the steel industry and CH4 emissions from the energy sector.

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 Dates: 2019-10-292019-12-192019-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3092
DOI: 10.5194/amt-12-6771-2019
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Title: Atmospheric Measurement Techniques
  Abbreviation : AMT
Source Genre: Journal
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Publ. Info: Göttingen : European Geosciences Union, Copernicus
Pages: - Volume / Issue: 12 (12) Sequence Number: - Start / End Page: 6771 - 68802 Identifier: ISSN: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381