Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-2019-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-2019-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Mar 2019
Research article |
| 29 Mar 2019
| 29 Mar 2019
Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Kerry Meyer
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Galina Wind
Science Systems and Applications Inc., Lanham, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Yaping Zhou
Goddard Earth Sciences Technology and Research, Morgan State University, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Alexander Marshak
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Steven Platnick
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Qilong Min
Atmospheric Sciences Research Center, State University of New York at Albany, Albany, NY, USA
Anthony B. Davis
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Alexander Vasilkov
Science Systems and Applications Inc., Lanham, MD, USA
David Duda
Science Systems and Applications Inc., Lanham, MD, USA
NASA Langley Research Center, Hampton, VA, USA
Wenying Su
NASA Langley Research Center, Hampton, VA, USA
Data sets
DSCOVR EPIC Level 2 Cloud Products Yuekui Yang, Kerry Meyer, Galina Wind, Alexander Marshak, Steven Platnick, Qilong Min, Anthony B. Davis https://doi.org/10.5067/EPIC/DSCOVR/L2_Cloud_01
Short summary
The physical basis of the EPIC cloud product algorithms and an initial evaluation of their performance are presented. EPIC cloud products include cloud mask, effective height, and optical depth. Comparison with co-located retrievals from geosynchronous earth orbit (GEO) and low earth orbit (LEO) satellites shows that the algorithms are performing well and are consistent with theoretical expectations. These products are publicly available at the NASA Langley Atmospheric Sciences Data Center.
The physical basis of the EPIC cloud product algorithms and an initial evaluation of their...
