Articles | Volume 9, issue 4
https://doi.org/10.5194/amt-9-1785-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-1785-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Apr 2016
Research article |
| 26 Apr 2016
Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC)
Goddard Earth Sciences Technology and Research (GESTAR), Universities
Space Research Association, Columbia, Maryland, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, Maryland, MD 20771, USA
Yuekui Yang
Goddard Earth Sciences Technology and Research (GESTAR), Universities
Space Research Association, Columbia, Maryland, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, Maryland, MD 20771, USA
Steven Platnick
NASA Goddard Space Flight Center, Greenbelt, Maryland, MD 20771, USA
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Cited
18 citations as recorded by crossref.
- Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation Y. Yang et al. 10.5194/amt-12-2019-2019
- The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. 10.3390/rs13010002
- Global Daytime Variability of Clouds From DSCOVR/EPIC Observations A. Delgado‐Bonal et al. 10.1029/2020GL091511
- Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations B. Yin et al. 10.5194/amt-13-5259-2020
- EPIC Spectral Observations of Variability in Earth’s Global Reflectance W. Yang et al. 10.3390/rs10020254
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations A. Delgado-Bonal et al. 10.3389/frsen.2022.780243
- Earth Observations from DSCOVR EPIC Instrument A. Marshak et al. 10.1175/BAMS-D-17-0223.1
- Determining the Shortwave Radiative Flux From Earth Polychromatic Imaging Camera W. Su et al. 10.1029/2018JD029390
- Determining the daytime Earth radiative flux from National Institute of Standards and Technology Advanced Radiometer (NISTAR) measurements W. Su et al. 10.5194/amt-13-429-2020
- Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
- Estimating hourly land surface downward shortwave and photosynthetically active radiation from DSCOVR/EPIC observations D. Hao et al. 10.1016/j.rse.2019.111320
- Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC) Y. Zhou et al. 10.5194/amt-13-1575-2020
- Cloud Detection Over Sunglint Regions With Observations From the Earth Polychromatic Imaging Camera Y. Zhou et al. 10.3389/frsen.2021.690010
- Parameters of Different Cloud Types over the Natural Zones of Western Siberia According to MODIS Satellite Data V. Astafurov et al. 10.1134/S1024856020050036
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- Gaussian Mixture Model-Based Cloud- Phase Estimation From GEO- KOMPSAT-2A Observations D. Kim & D. Shin 10.1109/TGRS.2024.3383888
- Global cloud optical depth daily variability based on DSCOVR/ EPIC observations A. Delgado-Bonal et al. 10.3389/frsen.2024.1390683
18 citations as recorded by crossref.
- Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation Y. Yang et al. 10.5194/amt-12-2019-2019
- The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. 10.3390/rs13010002
- Global Daytime Variability of Clouds From DSCOVR/EPIC Observations A. Delgado‐Bonal et al. 10.1029/2020GL091511
- Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations B. Yin et al. 10.5194/amt-13-5259-2020
- EPIC Spectral Observations of Variability in Earth’s Global Reflectance W. Yang et al. 10.3390/rs10020254
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations A. Delgado-Bonal et al. 10.3389/frsen.2022.780243
- Earth Observations from DSCOVR EPIC Instrument A. Marshak et al. 10.1175/BAMS-D-17-0223.1
- Determining the Shortwave Radiative Flux From Earth Polychromatic Imaging Camera W. Su et al. 10.1029/2018JD029390
- Determining the daytime Earth radiative flux from National Institute of Standards and Technology Advanced Radiometer (NISTAR) measurements W. Su et al. 10.5194/amt-13-429-2020
- Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
- Estimating hourly land surface downward shortwave and photosynthetically active radiation from DSCOVR/EPIC observations D. Hao et al. 10.1016/j.rse.2019.111320
- Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC) Y. Zhou et al. 10.5194/amt-13-1575-2020
- Cloud Detection Over Sunglint Regions With Observations From the Earth Polychromatic Imaging Camera Y. Zhou et al. 10.3389/frsen.2021.690010
- Parameters of Different Cloud Types over the Natural Zones of Western Siberia According to MODIS Satellite Data V. Astafurov et al. 10.1134/S1024856020050036
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- Gaussian Mixture Model-Based Cloud- Phase Estimation From GEO- KOMPSAT-2A Observations D. Kim & D. Shin 10.1109/TGRS.2024.3383888
- Global cloud optical depth daily variability based on DSCOVR/ EPIC observations A. Delgado-Bonal et al. 10.3389/frsen.2024.1390683
Latest update: 23 Nov 2024
Short summary
This paper presents the expected uncertainties of a single-channel cloud opacity retrieval technique and a temperature-based cloud phase approach in support of the Deep Space Climate Observatory (DSCOVR) mission; DSCOVR cloud products will be derived from Earth Polychromatic Imaging Camera (EPIC) observations. Results show that, for ice clouds, retrieval errors are minimal (< 2 %), while for liquid clouds the error is limited to within 10 %, although for thin clouds the error can be higher.
This paper presents the expected uncertainties of a single-channel cloud opacity retrieval...
