STRAT: An Automated Algorithm to Retrieve the Vertical Structure of the Atmosphere from Single-Channel Lidar Data
By Y. Morille, Martial Haeffelin, Philippe Drobinski, Jacques Pelon. 2007
200 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b3e25e4ef36e08d6c29ef73a9496258b32f60a6c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Bjorn Stevens
- Johannes Quaas
- A. Seifert
- R. Neggers
- Rieke Heinze
- C. Hoose
- Petra Friederichs
- C. O’Dowd
In Global and Planetary Change
- Bjorn Stevens
- Johannes Quaas
- A. Seifert
- R. Neggers
- Rieke Heinze
- C. Hoose
- Petra Friederichs
- C. O’Dowd
Citations in the corpus
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “Additionally, 48 DWD ceilometer stations are utilized for the comparison, where the PBL height was derived using the STRAT method (Morille et al., 2007; Haeffelin et al., 2012).”
- Detection of Cloud-Base Height Using Jenoptik CHM15K and Vaisala CL31 Ceilometers (2010, methodology): “Research-mode lidars have been extensively used for both boundary layer structure profiling and cloud-base detection in many studies (e.g., Kunz et al. 2002; Martucci et al. 2007; Morille et al. 2007).”