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  First data set of H2O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI)

Schneider, A., Borsdorff, T., aan de Brugh, J., Aemisegger, F., Feist, D. G., Kivi, R., et al. (2020). First data set of H2O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI). Atmospheric Measurement Techniques, 13(1), 85-100. doi:10.5194/amt-13-85-2020.

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 Urheber:
Schneider, Andreas, Autor
Borsdorff, Tobias, Autor
aan de Brugh, Joost , Autor
Aemisegger, Franziska, Autor
Feist, Dietrich G.1, Autor           
Kivi, Rigel, Autor
Hase, Frank, Autor
Schneider, Matthias, Autor
Landgraf, Jochen, Autor
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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 Zusammenfassung: This paper presents a new data set of vertical column densities of the water vapour isotopologues H2O and HDO retrieved from short-wave infrared (2.3 μm) reflectance measurements by the Tropospheric Monitoring Instrument (TROPOMI) aboard the Sentinel-5 Precursor satellite. TROPOMI features daily global coverage with a spatial resolution of up to 7 km × 7 km. The retrieval utilises a profile-scaling approach. The forward model neglects scattering, thus strict cloud filtering is necessary. For validation, recent ground-based water vapour isotopologue measurements by the Total Carbon Column Observing Network (TCCON) are employed. A comparison of TCCON δD with measurements by the project Multi-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) for data prior to 2014 (where MUSICA data is available) shows a bias in TCCON δD estimates. As TCCON HDO is currently not validated, an overall correction of recent TCCON HDO data is derived based on this finding. The agreement between the corrected TCCON measurements and collocated TROPOMI observations is good with an average bias of (0.02 ± 2) · 1021 molec cm−2 in H2O and (−0.3 ± 7) · 1017 molec cm−2 in HDO, which corresponds to a bias of (−12 ± 17) ‰ in a posteriori δD. The use of the data set is demonstrated with a case study of a blocking anticyclone in northwestern Europe in July 2018 using single overpass data.

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 Datum: 2019-11-302020-01-132020
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: BGC3096
DOI: 10.5194/amt-13-85-2020
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Titel: Atmospheric Measurement Techniques
  Kurztitel : AMT
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Göttingen : European Geosciences Union, Copernicus
Seiten: - Band / Heft: 13 (1) Artikelnummer: - Start- / Endseite: 85 - 100 Identifikator: ISSN: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381