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The First Global 883 GHz Cloud Ice Survey: IceCube Level 1 Data Calibration, Processing and AnalysisSub-millimeter (sub-mm, 200 - 1000 GHz) wavelengths contribute a unique capability to fill-in the sensitivity gap between operational visible/infrared (VIS/IR) and microwave (MW) remote sensing for atmosphere cloud ice and snow. Being able of penetrating cloud to measure cloud ice mass and microphysical properties in the middle to upper troposphere, this is a critical spectrum range for us to understand the connection between cloud ice and precipitation processes.5As the first space-borne 883 GHz radiometer, IceCube mission was NASA’s latest effort in spaceflight demonstration of a commercial sub-mm radiometer technology. Successfully launched from the International Space Station, IceCube is essentially a free-running radiometer and collected valuable 15-month measurements of atmosphere and cloud ice. This paper describes the detailed procedures for Level 1 data calibration, processing and validation. The scientific quality and values of IceCube data are then discussed, including radiative transfer model validation and evaluation, as well as the unique spatial distribution10and diurnal cycle of cloud ice that are revealed for the first time on a quasi-global scale at this frequency.
Document ID
20210026381
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Jie Gong ORCID
(Universities Space Research Association Columbia, Maryland, United States)
Dong L. Wu ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Patrick Eriksson ORCID
(Chalmers University of Technology Gothenburg, Sweden)
Date Acquired
January 5, 2022
Publication Date
November 18, 2021
Publication Information
Publication: Earth System Science Data
Publisher: Copernicus Publications
Volume: 13
Issue: 11
Issue Publication Date: November 1, 2021
ISSN: 1866-3508
e-ISSN: 1866-3516
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNH19ZDA001N-RRNES
PROJECT: ROSES-RRNES-2019
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
IceCube
Ice cloud
Remote sensing
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