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URN: urn:nbn:de:swb:90-460419
Originalveröffentlichung
DOI: 10.5194/amt-8-483-2015
Scopus
Zitationen: 14
Web of Science
Zitationen: 14

Empirical validation and proof of added value of MUSICA's tropospheric δD remote sensing products

Schneider, M.; Gonzalez, Y.; Dyroff, C.; Christner, E.; Wiegele, A.; Barthlott, S.; Garcia, O. E.; Sepulveda, E.; Hase, F.; Andrey, J.; Blumenstock, T.; Guirado, C.; Ramos, R.; Rodriguez, S.

Abstract:
The project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) integrates tropospheric water vapour isotopologue remote sensing and in situ observations. This paper presents a first empirical validation of MUSICA's H2O and delta D remote sensing products, generated from ground-based FTIR (Fourier transform infrared), spectrometer and space-based IASI (infrared atmospheric sounding interferometer) observation. The study is made in the area of the Canary Islands in the subtropical northern Atlantic. As reference we use well calibrated in situ measurements made aboard an aircraft (between 200 and 6800 m a.s.l.) by the dedicated ISOWAT instrument and on the island of Tenerife at two different altitudes (at Izaña, 2370 m a.s.l., and at Teide, 3550 m a.s.l.) by two commercial Picarro L2120-i water isotopologue analysers.
The comparison to the ISOWAT profile measurements shows that the remote sensors can well capture the variations in the water vapour isotopologues, and the scatter with respect to the in situ references suggests a delta D random uncertainty for the FTIR product of much ... mehr


Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 1867-1381
KITopen ID: 1000046041
HGF-Programm 12.03.01; LK 01
Erschienen in Atmospheric Measurement Techniques
Band 8
Heft 1
Seiten 483-503
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagworte aircraft; atmospheric modeling; data set; FTIR spectroscopy; ground-based measurement; IASI; in situ measurement; model validation; remote sensing; topology; troposphere; water vapor
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