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URN: urn:nbn:de:swb:90-469319
Originalveröffentlichung
DOI: 10.5194/acp-15-3135-2015
Scopus
Zitationen: 20
Web of Science
Zitationen: 18

Spatiotemporal variability of water vapor investigated using lidar and FTIR vertical soundings above the Zugspitze

Vogelmann, H.; Sussmann, R.; Trickl, T.; Reichert, A.

Abstract:
Water vapor is the most important greenhouse gas and its spatiotemporal variability strongly exceeds that of all other greenhouse gases. However, this variability has hardly been studied quantitatively so far. We present an analysis of a 5-year period of water vapor measurements in the free troposphere above the Zugspitze (2962 m a.s.l., Germany). Our results are obtained from a combination of measurements of vertically integrated water vapor (IWV), recorded with a solar Fourier transform infrared (FTIR) spectrometer on the summit of the Zugspitze and of water vapor profiles recorded with the nearby differential absorption lidar (DIAL) at the Schneefernerhaus research station. The special geometrical arrangement of one zenith-viewing and one sun-pointing instrument and the temporal resolution of both instruments allow for an investigation of the spatiotemporal variability of IWV on a spatial scale of less than 1 km and on a timescale of less than 1 h. The standard deviation of differences between both instruments sigma IWV calculated for varied subsets of data serves as a measure of variability. The different subsets are based on va ... mehr


Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 1680-7316

KITopen-ID: 1000046931
HGF-Programm 12.03.01 (POF III, LK 01)
Erschienen in Atmospheric Chemistry and Physics
Band 15
Heft 6
Seiten 3135-3148
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagworte atmospheric dynamics; FTIR spectroscopy; greenhouse gas; lidar; long range transport; satellite data; spatiotemporal analysis; temporal variation; troposphere; water vapor; Alps; Bavaria; Bavarian Alps; Central Alps; Wetterstein Mountains; Zugspitze
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Web of Science
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