The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance

By Zhaoyan Liu, Mark A. Vaughan, D. Winker, C. Kittaka, B. Getzewich, R. Kuehn, Ali H. Omar, Kathleen Powell, C. Trepte, Chris A. Hostetler. 2009

504 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3e6f1aaa3180a1a48d0d5da80bd62d0f961e915e

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

1. Mark A. Vaughan
2. D. Winker
3. Volker Freudenthaler
4. Steven Ghan
5. Xiaohong Liu
6. Ali H. Omar
7. Kathleen Powell
8. Zhaoyan Liu

In Global and Planetary Change

1. Mark A. Vaughan
2. D. Winker
3. Volker Freudenthaler
4. Steven Ghan
5. Kathleen Powell
6. Albert Ansmann
7. Xiaohong Liu
8. Ali H. Omar

Citations in the corpus

• Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, background): “100 (most likely to be aerosols) to +100 (most likely to be clouds) [Liu et al., 2004, 2009; Vaughan et al., 2004, 2005].”
• Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, methodology): “Initial version 1 algorithms were developed prior to launch, using data from LITE and from the Cloud Physics Lidar (McGill et al. 2002).”
• EARLINET correlative measurements for CALIPSO: First intercomparison results (2010, background): “Both features cause very similar signatures [ Liu et al. , 2009].”
• Intercomparison of the cloud water phase among global climate models (2014, methodology): “Using the cloud aerosol discrimination algorithm (CAD), a feature is characterized as either aerosol or cloud based on a confidence function that depends on multidimensional probability density functions (PDFs) of occurrence of clouds and aerosols [Liu et al., 2009].”
• Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data (2009, methodology): “CALIOP has been validated, for example, by Kim et al. [2008] and Liu et al. [2009] .”
• Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask (2013, methodology): “For both lidar systems, the depolarization measurement gives very reliable information about the presence of dust (Liu et al., 2012), since the depolarization measurement is sensitive to non-spherical particles.”
• CALIOP and AERONET aerosol optical depth comparisons: One size fits none (2013, methodology): “The AERONET Sun photometer and CALIOP are both well calibrated with algorithms that are well characterized [Dubovik and King, 2000; Dubovik et al., 2002a; Hu et al., 2009; Liu et al., 2009; Omar et al., 2009; Smirnov et al., 2000; Vaughan et al., 2009; Young and Vaughan, 2009].”
• Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements (2009, methodology): “As explained in Liu et al. (2004, 2009), the CAD algorithm consists of a confidence function applied to the spatial and optical properties measured for each feature.”