experiment

Metadata for 'AES-MUA (mh0066): Sensitivity of Simulated Meospsheric Transport of Nitrogen Oxides to Parameterized Gravity Waves (primary data)'

Name
AES-MUA (mh0066): Sensitivity of Simulated Meospsheric Transport of Nitrogen Oxides to Parameterized Gravity Waves (primary data)
Acronym
DKRZ_lta_066_2
Project(s)
DKRZ_lta (Long-term Archiving of Climate Model Data at WDC Climate and DKRZ)
Summary
These are the primary data of the paper "Sensitivity of Simulated Meospsheric Transport of Nitrogen Oxides to Parameterized Gravity Waves" written by K. Meraner, H. Schmidt, E. Manzini, B. Funke and A. Gardini and published in Journal of Geophysical Research - Atmosphere. (doi:10.1002/2016JD025012).
Detailed information see REDAME_mh0066_ds0002
Keyword(s)
atmospheric chemistry, HAMMONIA, mesopause
Location(s)
World; Longitude: 0.0 to 360.0 Latitude: -90.0 to 90.0
Spatial Coverage
Longitude: 0.0 to 360.0 Latitude: -90.0 to 90.0 Altitude: 1.0 level to 119.0 level
Temporal Coverage
2009-01-01 to 2009-04-30 (calendrical)
Size
429.8 GiB (461521699791 Bytes)
Format(s)
'tar.gz'
Progress
completely archived
Creation Date
2017-02-23
 
 
 

Citation
Meraner,Katharina;Schmidt,Hauke;Manzini,Eliza;Funke,Bernd;Gardini,Angela (2017). Sensitivity of Simulated Meospsheric Transport of Nitrogen Oxides to Parameterized Gravity Waves (primary data). World Data Center for Climate (WDCC) at DKRZ. http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=DKRZ_lta_066_2
Contact type Person Institute
investigator Katharina Meraner Max-Planck-Institut fuer Meteorologie
investigator Dr. Hauke Schmidt Max-Planck-Institut fuer Meteorologie
investigator Dr. Elisa Manzini Max-Planck-Institut fuer Meteorologie
investigator Bernd Funke Instituto de Astrofísica de Andalucía
investigator Angela Gardini Instituto de Astrofísica de Andalucía
metadata Katharina Meraner Max-Planck-Institut fuer Meteorologie
Reference type Title Published
standard citation Sensitivity of Simulated Meospsheric Transport of Nitrogen Oxides to Parameterized Gravity Waves (primary data) 2017-02-23