CloudSat's Cloud Profiling Radar After Two Years in Orbit: Performance, Calibration, and Processing

By S. Tanelli, S. Durden, E. Im, K. Pak, Dale G. Reinke, Philip Partain, John M. Haynes, Roger Marchand. IEEE Transactions on Geoscience and Remote Sensing, 2008

391 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/9529679cd6ef8b40fbb3034a10a44b345f72cd56

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In Atmospheric Science

1. Zhien Wang
2. Fuzhong Weng
3. Thomas J. Greenwald
4. Yong Chen
5. Mark S. Kulie
6. Gerald Mace
7. Hajime Okamoto
8. Min Deng

In Global and Planetary Change

1. Zhien Wang
2. Gerald Mace
3. Fuzhong Weng
4. Thomas J. Greenwald
5. Yong Chen
6. Mark S. Kulie
7. Hajime Okamoto
8. Min Deng

Citations in the corpus

• Climatology of stratocumulus cloud morphologies: microphysical properties and radiative effects (2014, background): “Because many partially cloudy radar volumes have a reflectivity near or below the detection threshold of the CPR of about−30 dBZ (Tanelli et al., 2008), the radar cloud mask is not simply a binary variable but includes confidence lev- els reflecting the degree of certainty that, for a given…”
• Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar (2010, methodology): “The CloudSat CPR is well calibrated and validated with CALIPSO‐CloudSat Validation Experiments [Tanelli et al., 2008], therefore, the systematic error is less than 1 dB.”
• Uncertainties in Microwave Properties of Frozen Precipitation: Implications for Remote Sensing and Data Assimilation (2010, methodology): “Such data bins can be utilized with a clutter reduction algorithm applied to data bins 2–5 in the version 011 2B-GEOPROF product (Tanelli et al. 2008).”
• Dreary state of precipitation in global models (2010, neutral): “The CloudSat precipitation information derives from estimates of the path‐integrated attenuation (PIA) of the CPR. PIA is determined for each footprint of the radar (approximately 1.7 km in scale) [Tanelli et al., 2008].”
• Combined CloudSat‐CALIPSO‐MODIS retrievals of the properties of ice clouds (2010, neutral): “Systematic error is typically a bias due a calibration error, but we will assume that CloudSat radar calibration has been corrected [ Tanelli et al. , 2008].”
• CloudSat mission: Performance and early science after the first year of operation (2008, neutral): “This exercise is performed monthly and has verified that the absolute calibration of the CPR is well within the required 2 dB requirement [Tanelli et al., 2008].”
• Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles (2010, neutral): “Because the CPR range resolution is 485 m, even though CPR acquires samples approximately every 240 m [Tanelli et al., 2008], the CALIOP and CPR derived cloud boundaries need to differ more than 480 m to be considered as distinctly different boundaries.”
• Space‐based lidar measurements of global ocean carbon stocks (2013, methodology): “Microwave measurements of ocean surface backscatter from the CloudSat sensor [Stephens et al., 2002; Tanelli et al., 2008] were used to estimate βS for the October 2011 to April 2012 period (Methods S1).”