Literature DB >> 31921373

Cloud Products from the Earth Polychromatic Imaging Camera (EPIC): Algorithms and Initial Evaluation.

Yuekui Yang1, Kerry Meyer1, Galina Wind2,1, Yaping Zhou3,1, Alexander Marshak1, Steven Platnick1, Qilong Min4, Anthony B Davis5, Joanna Joiner1, Alexander Vasilkov2, David Duda2,6, Wenying Su6.   

Abstract

This paper presents the physical basis of the EPIC cloud product algorithms and an initial evaluation of their performance. Since June 2015, EPIC has been providing observations of the sunlit side of the Earth with its 10 spectral channels ranging from the UV to the near-IR. A suite of algorithms has been developed to generate the standard EPIC Level 2 Cloud Products that include cloud mask, cloud effective pressure/height, and cloud optical thickness. The EPIC cloud mask adopts the threshold method and utilizes multichannel observations and ratios as tests. Cloud effective pressure/height is derived with observations from the O2 A-band (780 nm and 764 nm), and B-band (680 nm and 688 nm) pairs. The EPIC cloud optical thickness retrieval adopts a single channel approach where the 780 nm and 680 nm channels are used for retrievals over ocean and over land, respectively. Comparison with co-located cloud retrievals from geosynchronous earth orbit (GEO) and low earth orbit (LEO) satellites shows that the EPIC cloud product algorithms are performing well and are consistent with theoretical expectations. These products are publicly available at the Atmospheric Science Data Center at the NASA Langley Research Center for climate studies and for generating other geophysical products that require cloud properties as input.

Entities:  

Year:  2019        PMID: 31921373      PMCID: PMC6951331          DOI: 10.5194/amt-12-2019-2019

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  4 in total

1.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media.

Authors:  K Stamnes; S C Tsay; W Wiscombe; K Jayaweera
Journal:  Appl Opt       Date:  1988-06-15       Impact factor: 1.980

2.  Earth Observations from DSCOVR/EPIC Instrument.

Authors:  Alexander Marshak; Jay Herman; Adam Szabo; Karin Blank; Alexander Cede; Simon Carn; Igor Geogdzhayev; Dong Huang; Liang-Kang Huang; Yuri Knyazikhin; Matthew Kowalewski; Nickolay Krotkov; Alexei Lyapustin; Richard McPeters; Omar Torres; Yuekui Yang
Journal:  Bull Am Meteorol Soc       Date:  2018-10-09       Impact factor: 8.766

3.  The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua.

Authors:  Steven Platnick; Kerry G Meyer; Michael D King; Galina Wind; Nandana Amarasinghe; Benjamin Marchant; G Thomas Arnold; Zhibo Zhang; Paul A Hubanks; Robert E Holz; Ping Yang; William L Ridgway; Jérôme Riedi
Journal:  IEEE Trans Geosci Remote Sens       Date:  2016-10-26       Impact factor: 5.600

4.  Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC).

Authors:  Kerry Meyer; Yuekui Yang; Steven Platnick
Journal:  Atmos Meas Tech       Date:  2016-04-26       Impact factor: 4.176

  4 in total

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