Description

CAL_LID_L2_05kmALay-Prov-V3-01 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. 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 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

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Publications which Cite this Collection

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Gkikas, Antonis; Basart, Sara; Hatzianastassiou, Nikos; Marinou, Eleni; Amiridis, Vassilis; Kazadzis, Stelios; Pey, Jorge; Querol, Xavier; Jorba, Oriol; Gassó, Santiago; Baldasano, José Maria (2021). Mediterranean intense desert dust outbreaks and their verticalstructure based on remote sensing data.

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

Zamora, Lauren M.; Kahn, Ralph A.; Eckhardt, Sabine; McComiskey, Allison; Sawamura, Patricia; Moore, Richard; Stohl, Andreas (2018). Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds.

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

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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

ANOMALIES

• CALIPSO Tilt Mode Geometry Anomaly Anomalies

DATA CITATION POLICY

• How to cite ASDC data

GENERAL DOCUMENTATION

• 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

HOW-TO

• CALIPSO - Data User's Guide - Browse Image Tutorial

MICRO ARTICLE

• 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.

PROCESSING HISTORY

• CALIPSO - Data Availability Site

PRODUCT QUALITY ASSESSMENT

• CALIPSO Quality Statements Lidar Level 2 Cloud and Aerosol Layer Products Version Releases: 3.01, 3.02

PRODUCT USAGE

• Overview of CALIPSO Data Product Maturity

PRODUCTION HISTORY

• CALIPSO Products Overview

PUBLICATIONS

• CALIPSO - List of publications

RELATED ARTICLES

• 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.

USER FEEDBACK PAGE

• CALIPSO Data User’s Guide - Frequently Asked Questions

USER'S GUIDE

• CALIPSO Data User’s Guide

Keywords

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