Initial performance assessment of CALIOP
By D. Winker, W. Hunt, Matthew J. McGill. 2007
1,353 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/baf27f0e4d2d607d79e030c25abe54ce3cde153d
How researchers see this paper
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In Atmospheric Science
- M. Webb
- Mark A. Vaughan
- D. Winker
- K. Williams
- Sandrine Bony
- Andrew Gettelman
- Bjorn Stevens
- Gerald Mace
In Global and Planetary Change
- Mark A. Vaughan
- M. Webb
- D. Winker
- K. Williams
- Gerald Mace
- Sandrine Bony
- Andrew Gettelman
- Bjorn Stevens
Citations in the corpus
- Dynamical mechanisms controlling the vertical redistribution of dust and the thermodynamic structure of the West Saharan atmospheric boundary layer during summer (2009, methodology): “The winds along CALIPSO cross-section in Figure 4(a) are mostly aligned with the total north-easterly flow.”
- Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis (2014, methodology): “The Cloud Aerosol Lidar with Orthogonal Polarization (CALIOP), carried by CALIPSO as part of the NASA ATrain (Winker et al., 2007, 2009) since 2006, adds important information about the aerosol vertical structure.”
- The ICESat-2 Laser Altimetry Mission (2010, methodology): “It was these demonstrated capabilities, coupled with recent observations of dramatic changes in polar ice, that led the National Research Council’s Earth Science Decadal Survey to call for an ICESat follow-on mission [ 34 ].”
- EARLINET correlative measurements for CALIPSO: First intercomparison results (2010, background): “Since its first light in May 2006, CALIPSO has delivered high ‐ vertical ‐ resolution profiles of aerosols and clouds on the global scale [ Winker et al. , 2007].”
- LMDZ5B: the atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection (2013, methodology): “6 shows the zonal and annual mean of the cloud fraction as simulated with the NPv3 version of the model and as observed by the Caliop Lidar onboard the Calipso satellite (Winker et al, 2007).”
- Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data (2009, background): “The satellite repeat cycle is 16 days [Winker et al., 2007].”
- CALIOP and AERONET aerosol optical depth comparisons: One size fits none (2013, background): “…The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission is a collaboration between NASA and Centre National d’Études Spatiales and was launched in April 2006 to provide vertically resolved measurements of cloud and aerosol distributions [Winker et al., 2007, 2009].”
- MAC‐v1: A new global aerosol climatology for climate studies (2013, methodology): “In terms of global annual averages, coarsemode contributions are stronger below 1 km, while fine-mode contributions are larger above 3 km. [46] An alternate data set to describe the aerosol vertical distribution could have been the CALIPSO lidar [Winker et al., 2007], although it would have been dif”
- The GCM‐Oriented CALIPSO Cloud Product (CALIPSO‐GOCCP) (2010, neutral): “CALIOP is aboard CALIPSO, a nearly Sun-synchronous platform that crosses the equator at about 0130 LST [ Winker et al. , 2007, 2009].”
- Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask (2013, methodology): “The primary instrument on board is the CALIOP sensor, the first satellite lidar optimized for cloud and aerosol observations (Winker et al., 2007).”
- Global distribution of cirrus clouds from CloudSat/Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements (2008, neutral): “So, the potential benefits of global lidar and radar probing from Earth orbit has been recognized for some time and recently realized with the 28 April 2006 launch of the CloudSat Cloud Profiling Radar (CPR) and CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) payloads as part of th”
- The CloudSat radar‐lidar geometrical profile product (RL‐GeoProf): Updates, improvements, and selected results (2014, methodology): “This original pointing angle was designed to avoid specular reflection of the lidar beam from surface water [Winker et al., 2007].”
- Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles (2010, neutral): “[Winker et al., 2007] and CloudSat Cloud Profiling Radar (CPR) [Im et al.”