KIT | KIT-Bibliothek | Impressum | Datenschutz

Nitric oxide (NO) data set (60--160 km) from SCIAMACHY nominal limb scans

Bender, Stefan; Sinnhuber, Miriam; Burrows, John P.; Langowski, Martin

Abstract (englisch):
Contains the nitric oxide (NO) number densities (in cm-3) from 60 km to 160 km retrieved from SCIAMACHY nominal (~0--90 km) limb scans.

SCIAMACHY is a UV-visible-near-infrared spectrometer which flies on ESA's Envisat and was operational from 08/2002 to 04/2012 (see Burrows et al., 1995 and Bovensmann et al., 1999 and references therein). The nominal limb mode was carried out daily (apart from outages and a few days dedicated to other measurement modes) from 08/2002 until the end of the mission. The limb scans were performed from ground to about 90 km tangent altitude, and the retrieval was performed on a 2.5° x 2 km latitude--altitude grid from 90°S--90°N and from 60 km--160 km. This data set comprises all SCIAMACHY nominal NO measurements sorted by date and year, each day comprised about 15 orbits. See the accompanying README for the dimension and variable descriptions.

The NO retrieval was carried out at the Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, and is described in Bender et al., 2017. It is adapted from the MLT NO retrieval described in Bender et al., 2013. We used the SCIAMACHY geo-located atmospher ... mehr

DOI: 10.5281/zenodo.1009078
Seitenaufrufe: 8
seit 10.02.2019
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Forschungsdaten/Bilder
Jahr 2017
Identifikator KITopen-ID: 1000090481
HGF-Programm 12.04.05 (POF III, LK 01)

This version (files named v6.2.1) includes the data from a few additional orbits that were missing in the previous version (files named v6.2). Please also cite Bender et al., 2017 (doi: 10.5194/amt-10-209-2017) when using this data set. See Abstract, for more informations.

Relationen in KITopen
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page