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
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
PROFESSIONAL HOME PAGE
ICARE Data and Services Center Home Page
PROJECT HOME PAGE
French (CNES) CALIPSO Home Page
NASA Mission Overview of CALIPSO
VIEW RELATED INFORMATION
- How to cite ASDC data
DATA CITATION POLICY
- A-Train Data Depot (ATDD) Description
- CALIPSO - List of project documentation (Data Products Catalog and ATBDs)
- CALIPSO Data Release Summary Statement
- ICARE programmers toolbox
- Links to tools available through the ASDC
GENERAL DOCUMENTATION
- CALIPSO: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations Fact Sheet
- NASA Earthdata Content Delivery Network (CDN) Article: Experiment in the sky - A train of satellites follows the atmospheric effects of a volcanic eruption.
MICRO ARTICLE
- CALIPSO - Data Availability Site
PROCESSING HISTORY
- CALIPSO Quality Statements Lidar Level 2 Cloud and Aerosol Layer Products Version Releases: 3.01, 3.02
PRODUCT QUALITY ASSESSMENT
- Overview of CALIPSO Data Product Maturity
PRODUCT USAGE
- CALIPSO Products Overview
PRODUCTION HISTORY
- CALIPSO - List of publications
PUBLICATIONS
- NASA Earth Observatory: Nighttime Ash Tracking - Vertical profile of the volcanic ash helps modelers issue more accurate warnings to pilots.
- NASA Earth Observatory: Polar Stratospheric Clouds - CALIPSO caught a top-down glimpse of an unusual atmospheric phenomenon - polar stratospheric clouds.
- NASA Earth Observatory: Whitewater-Baldy Fire in New Mexico - Understanding how high wildfires send smoke into the atmosphere is one of the key pieces of information required to predict where and how a smoke plume will spread.
RELATED ARTICLES
- CALIPSO Data User’s Guide - Frequently Asked Questions
USER FEEDBACK PAGE
- CALIPSO Data User’s Guide
USER'S GUIDE
Keywords
From GCMD Science Keywords:
- LIDAR DEPOLARIZATION RATIO
- AEROSOL BACKSCATTER
- AEROSOL OPTICAL DEPTH/THICKNESS
- Column Reflectance
- Aerosol Optical Thickness
- Intergrated Attenuated Backscatter
- Lidar
- Lidar Depolarization Ratio
Data Distribution
- Note: You are viewing a legacy product. "Current Products" is a link to an updated version.
- Please contact user services if you need access to this product.
Spatial Information
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