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

Yuekui Yang1, Kerry Meyer1, Galina Wind2,1

  • 1NASA Goddard Space Flight Center, Greenbelt, MD.

Atmospheric Measurement Techniques
|January 11, 2020
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Summary
This summary is machine-generated.

The Earth Polychromatic Imaging Camera (EPIC) cloud algorithms generate essential cloud data, including masks and optical thickness. These validated products are crucial for climate studies and are publicly available.

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Area of Science:

  • Earth Science
  • Atmospheric Science
  • Remote Sensing

Background:

  • The Earth Polychromatic Imaging Camera (EPIC) has provided Earth observations since June 2015.
  • EPIC utilizes 10 spectral channels from UV to near-IR for its observations.
  • Standard EPIC Level 2 Cloud Products are generated using a suite of algorithms.

Purpose of the Study:

  • To present the physical basis of the EPIC cloud product algorithms.
  • To evaluate the initial performance of these cloud product algorithms.
  • To make the generated cloud products publicly available for climate studies.

Main Methods:

  • Cloud mask generation using a multichannel threshold method.
  • Cloud effective pressure/height retrieval utilizing O2 A-band and B-band spectral pairs.
  • Cloud optical thickness retrieval using a single-channel approach (780 nm over ocean, 680 nm over land).

Main Results:

  • EPIC cloud algorithms successfully generate cloud mask, effective pressure/height, and optical thickness.
  • Initial performance evaluation indicates algorithms are performing well.
  • Results are consistent with theoretical expectations and comparisons with GEO/LEO satellite data.

Conclusions:

  • The developed EPIC cloud product algorithms are effective and reliable.
  • The publicly available EPIC cloud products support climate research and geophysical product generation.
  • EPIC data provides valuable insights into Earth's cloud properties.