Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Cloud detection and classification based on MAX-DOAS observations

Wagner, T., Apituley, A., Beirle, S., Dörner, S., Friess, U., Remmers, J., et al. (2014). Cloud detection and classification based on MAX-DOAS observations. Atmospheric Measurement Techniques, 7(5), 1289-1320. doi:10.5194/amt-7-1289-2014.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Wagner, T.1, Autor           
Apituley, A.2, Autor
Beirle, S.1, Autor           
Dörner, S.1, Autor           
Friess, U.2, Autor
Remmers, J.1, Autor           
Shaiganfar, R.1, Autor           
Affiliations:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              
2external, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of aerosols and trace gases can be strongly influenced by clouds. Thus, it is important to identify clouds and characterise their properties. In this study we investigate the effects of clouds on several quantities which can be derived from MAX-DOAS observations, like radiance, the colour index (radiance ratio at two selected wavelengths), the absorption of the oxygen dimer O-4 and the fraction of inelastically scattered light (Ring effect). To identify clouds, these quantities can be either compared to their corresponding clear-sky reference values, or their dependencies on time or viewing direction can be analysed. From the investigation of the temporal variability the influence of clouds can be identified even for individual measurements. Based on our investigations we developed a cloud classification scheme, which can be applied in a flexible way to MAX-DOAS or zenith DOAS observations: in its simplest version, zenith observations of the colour index are used to identify the presence of clouds (or high aerosol load). In more sophisticated versions, other quantities and viewing directions are also considered, which allows subclassifications like, e.g., thin or thick clouds, or fog. We applied our cloud classification scheme to MAX-DOAS observations during the Cabauw intercomparison campaign of Nitrogen Dioxide measuring instruments (CINDI) campaign in the Netherlands in summer 2009 and found very good agreement with sky images taken from the ground and backscatter profiles from a lidar.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2014
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 000336740700010
DOI: 10.5194/amt-7-1289-2014
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Atmospheric Measurement Techniques
  Kurztitel : AMT
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Göttingen : European Geosciences Union, Copernicus
Seiten: - Band / Heft: 7 (5) Artikelnummer: - Start- / Endseite: 1289 - 1320 Identifikator: Anderer: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381