Alternativer Identifier:
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Verwandter Identifier:
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Ersteller/in:
Schneider, Matthias https://orcid.org/0000-0001-8452-0035 [Karlsruhe Institute of Technology (KIT)]

Ertl, Benjamin https://orcid.org/0000-0003-1431-2243 [Karlsruhe Institute of Technology (KIT)]
Beitragende:
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Titel:
MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 1.0)
Weitere Titel:
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Beschreibung:
(Abstract) This version 1.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable <xch4>), tropospheric (ground – about 6 km a.s.l., variable <troxch4>), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable <utsxch4>) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.2.0). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively).
Schlagworte:
Remote Sensing, Satellite, Metop, IASI, Sentinel-5 Precursor, TROPOMI, methane, CH4, total column, troposphere, UTLS, data fusion
Zugehörige Informationen:
The data fusion method is described in detail in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The used the RemoTeC TROPOMI XCH4 data (operational processing algorithm version 2.2.0) are described in Lorente et al. (2021, https://doi.org/10.5194/amt-14-665-2021). The used MUSICA IASI CH4 profile data (processing version 3.3.0) are described in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
Sprache:
Englisch
Herausgeber/in:
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Erstellungsjahr:
Fachgebiet:
Geological Science
Atmosphere
Objekttyp:
Dataset
Datenquelle:
(Observation) Metop IASI and Sentinel-5 Precursor TROPOMI
Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Lizenz:
Rechteinhaber/in:
Matthias Schneider

Benjamin Ertl

Karlsruhe Institute of Technology (KIT)
Förderung:
Deutsche Forschungsgemeinschaft - (MOTIV) 290612604
Deutsche Forschungsgemeinschaft - (TEDDY) 416767181
European Research Council - (MUSICA)(ERC Grant Agreement number 256961)
Ministerio de Economía y Competitividad - (INMENSE)(CGL2016-80688-P)
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg - (ForHLR supercomputer)
Bundesministerium für Bildung und Forschung - (ForHLR supercomputer)
Dutch National e-Infrastructure with the support of the SURF cooperative
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Status:
Publiziert
Eingestellt von:
8c0fcfa6618bed62489f11c1eee033e2
Erstellt am:
Archivierungsdatum:
2022-07-29
Archivgröße:
10,1 GB
Archiversteller:
54140ae6222d5f8ee08f1374c7e5783c
Archiv-Prüfsumme:
f43299bb3a7d08a8566f2df615907b62 (MD5)
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