Journal article
An overview of the CATS level 1 processing algorithms and data products
Geophysical research letters, Vol.43(9), pp.4632-4639
05/16/2016
DOI: 10.1002/2016GL068006
Abstract
The Cloud-Aerosol Transport System (CATS) is an elastic backscatter lidar that was launched on 10 January 2015 to the International Space Station (ISS). CATS provides both space-based technology demonstrations for future Earth Science missions and operational science measurements. This paper outlines the CATS Level 1 data products and processing algorithms. Initial results and validation data demonstrate the ability to accurately detect optically thin atmospheric layers with 1064nm nighttime backscatter as low as 5.0E-5 km(-1) sr(-1). This sensitivity, along with the orbital characteristics of the ISS, enables the use of CATS data for cloud and aerosol climate studies. The near-real-time downlinking and processing of CATS data are unprecedented capabilities and provide data that have applications such as forecasting of volcanic plume transport for aviation safety and aerosol vertical structure that will improve air quality health alerts globally.
Details
- Title: Subtitle
- An overview of the CATS level 1 processing algorithms and data products
- Creators
- J. E. Yorks - Goddard Space Flight CenterM. J. McGill - Goddard Space Flight CenterS. P. Palm - Science Systems and ApplicationsD. L. Hlavka - Science Systems and ApplicationsP. A. Selmer - Science Systems and ApplicationsE. P. Nowottnick - Universities Space Research AssociationM. A. Vaughan - Langley Research CenterS. D. Rodier - Science Systems and ApplicationsW. D. Hart - Science Systems and Applications
- Resource Type
- Journal article
- Publication Details
- Geophysical research letters, Vol.43(9), pp.4632-4639
- Publisher
- Amer Geophysical Union
- DOI
- 10.1002/2016GL068006
- ISSN
- 0094-8276
- eISSN
- 1944-8007
- Number of pages
- 8
- Grant note
- ISS NASA Research Office (NRO) NASA Science Mission Directorate (SMD); National Aeronautics & Space Administration (NASA)
- Language
- English
- Date published
- 05/16/2016
- Academic Unit
- Chemical and Biochemical Engineering; Physics and Astronomy
- Record Identifier
- 9984277261602771
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