CALIPSO Level 2
Entry Title: CALIPSO Lidar Level 2 5km Aerosol Layer data, Provisional V3-02

Entry ID: CAL_LID_L2_05kmALay-Prov-V3-02
Aerosols
Description

CAL_LID_L2_05kmALay-Prov-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5km aerosol layer data. Within the Lidar Aerosol Layer Product there are two general classes of data:- Column Properties (including position data and viewing geometry)- Layer Properties. The lidar layer products consist of a sequence of column descriptors, each one of which is associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.

DOI

10.5067/CALIOP/CALIPSO/CAL_LID_L2_05KMALAY-PROV-V3-02_L2-003.02

Publications which Cite this Collection

Strandgren, Johan; Bugliaro, Luca; Sehnke, Frank; Schröder, Leon (2019). Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks.


Strandgren, Johan; Fricker, Jennifer; Bugliaro, Luca (2017). Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI.


Resources and Documentation

Earthdata Forum

PROFESSIONAL HOME PAGE

ICARE Data and Services Center Home Page

PROJECT HOME PAGE

CALIPSO project home page

NASA Mission Page for CALIPSO

French (CNES) CALIPSO Home Page

NASA Mission Overview of CALIPSO

VIEW RELATED INFORMATION
Keywords

From GCMD Science Keywords:
  • AEROSOL BACKSCATTER
  • LIDAR DEPOLARIZATION RATIO
  • AEROSOL OPTICAL DEPTH/THICKNESS
  • Column Reflectance
  • Aerosol Optical Thickness
  • Intergrated Attenuated Backscatter
  • Lidar
  • Lidar Depolarization Ratio
Data Distribution

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Spatial Information

spatial-coverage-map
Spatial Coverage: (S: -90, N: 90), (W: -180, E: 180)
Spatial Coverage Type: Horizontal
Coordinate System: Cartesian
Granule Spatial Representation: Geodetic
Locations

GLOBAL
Temporal Information

Temporal Coverage: 2011-11-01 - 2013-03-01
Temporal Resolution: 0.74 second
Platforms

Earth Observation Satellites
CALIPSO
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations
CALIOP
Cloud-Aerosol Lidar with Orthogonal Polarization
Metadata Dates

Created on 2014-04-28
Last updated on 2018-03-11