Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles

By Seiji Kato, S. Sun-Mack, W. Miller, Fred G. Rose, Yan Chen, Patrick Minnis, B. Wielicki. 2010

166 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ad2295c2828df0c57d14435334dd558917407c93

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Eric F. Wood

In Atmospheric Science

1. Andrew Gettelman
2. Hugh Morrison
3. Seiji Kato
4. P. Bogenschutz
5. Norman G. Loeb
6. Fred G. Rose
7. David R. Doelling
8. Tristan L'Ecuyer

In Global and Planetary Change

1. Andrew Gettelman
2. Hugh Morrison
3. Seiji Kato
4. P. Bogenschutz
5. Fred G. Rose
6. Norman G. Loeb
7. David R. Doelling
8. Tristan L'Ecuyer

Citations in the corpus

• Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, methodology): “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.”
• Large contribution of supercooled liquid clouds to the solar radiation budget of the Southern Ocean (2016, methodology): “It is worth mentioning that the identification of cloud top and cloud base in CCCM is primarily based on CALIOP-derived cloud profiles (Kato et al. 2010), which minimizes the impact of ground clutter in the CloudSat signal.”
• Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model (2013, methodology): “Observational guidance is provided from CALIPSO, CloudSat, and Moderate Resolution Imaging Spectroradiometer (MODIS) in a merged product called C3M (Kato et al. 2010).”
• Surface Irradiances Consistent With CERES-Derived Top-of-Atmosphere Shortwave and Longwave Irradiances (2013, methodology): “The emissivity of land and ocean surfaces is fromWilber et al. (1999). 3.”
• Advances in Understanding Top-of-Atmosphere Radiation Variability from Satellite Observations (2012, background): “11 are from a merged satellite dataset that combines CALIPSO, Cloudsat, CERES and MODIS (C3M) (Kato et al. 2010).”
• The Observed State of the Energy Budget in the Early Twenty-First Century (2015, methodology): “The process of mergingCALIPSO- andCloudSat-derived cloud vertical profiles is explained in Kato et al. (2010), while the computation of irradiance profiles is described in Kato et al. (2011).”