Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar
By Min Deng, Gerald Mace, Zhien Wang, Hajime Okamoto. 2010
189 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/153cb8da34bd77aebdf4fd5898716e63386af5ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Robin J. Hogan
- Seiji Kato
- Julien Delanoë
- Paul R. Field
- Jun Li
- Tristan L'Ecuyer
- Duane Waliser
- Ulrike Lohmann
Citations in the corpus
- Mixed-Phase Clouds: Progress and Challenges (2017, methodology): “…and CALIPSO lidar measurements have been used to effectively identify mixed-phase clouds globally (Zhang et al. 2010; Wang et al. 2013), and to provide improved microphysical property retrievals for ice (Delanoë and Hogan 2008; Deng et al. 2010, 2013; Okamoto et al. 2010; Matus and L’Ecuyer 2017).”
- The EarthCARE Satellite: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation (2015, methodology): “Domenech, C., and T. Wehr, 2011: Use of artificial neural networks to retrieve TOA SW radiative f luxes for the EarthCARE mission.”
- Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, background): “In the constraining process, CloudSat radar-derived and CALIPSO lidar-derived cloud vertical profiles [Kato et al., 2010] as well as Atmospheric Infrared Sounder (AIRS)– derived temperature and humidity profiles are used to determine the uncertainty in cloud and atmospheric properties.”