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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.
Summary
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.
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.
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