Description

CAL_LID_L2_05kmCLay-Prov-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5km cloud layer data. 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. The Lidar Level 2 5km Cloud Layer Provisional Version 3 product reports cloud products at identical 5km horizontal resolutions, and include a full complement of diagnostic and quality assurance parameters. Major algorithm updates include a new approach to determining cloud thermodynamic phase; greatly improved separation of boundary layer clouds and aerosols; refinements to the layer base determination scheme that enable more accurate estimates of aerosol optical depth; and the use of five-dimensional probability distribution functions to better distinguish clouds from aerosols. Uncertainty estimates are now provided for all cloud properties reported in the Level 2 data products. Products include three V-data record types (i.e., metadata). 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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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

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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 GUIDELINES

• 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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