2018
DOI: 10.5194/amt-11-359-2018
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Calibration of the DSCOVR EPIC visible and NIR channels using MODIS Terra and Aqua data and EPIC lunar observations

Abstract: Abstract. The unique position of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) at the Lagrange 1 point makes an important addition to the data from currently operating low Earth orbit observing instruments. EPIC instrument does not have an onboard calibration facility. One approach to its calibration is to compare EPIC observations to the measurements from polarorbiting radiometers. Moderate Resolution Imaging Spectroradiometer (MODIS) is a natural choice for such compar… Show more

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Cited by 41 publications
(53 citation statements)
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“…These 10 EPIC channels include blue (443 nm), green (551 nm), and red (680 nm) channels. These channels are calibrated against the MODIS instruments on Terra and Aqua (Geogdzhayev & Marshak, ) and the accuracy of the calibration factors is assessed to be between 1% and 3%. Previous studies using MODIS and MISR instruments (Loeb et al, , ) have demonstrated that these narrowband channels can be used to derive broadband radiances.…”
Section: Methods and Datamentioning
confidence: 99%
See 1 more Smart Citation
“…These 10 EPIC channels include blue (443 nm), green (551 nm), and red (680 nm) channels. These channels are calibrated against the MODIS instruments on Terra and Aqua (Geogdzhayev & Marshak, ) and the accuracy of the calibration factors is assessed to be between 1% and 3%. Previous studies using MODIS and MISR instruments (Loeb et al, , ) have demonstrated that these narrowband channels can be used to derive broadband radiances.…”
Section: Methods and Datamentioning
confidence: 99%
“…Alternatively, the narrowband measurements from EPIC can also be used to derive daytime SW fluxes by utilizing narrowband‐to‐broadband regressions. As the EPIC visible channels are calibrated against the Moderate Resolution Imaging Spectrometer (MODIS) observations (Geogdzhayev & Marshak, ), and the narrowband‐to‐broadband regressions are developed from MODIS and CERES measurements, this approach lacks a degree of independence from CERES. However, it can address two outstanding issues.…”
Section: Introductionmentioning
confidence: 99%
“…The reflectances are obtained by multiplying the original data values provided in the L1B files in engineering units of count per second by calibration factors for each wavelength (https://eosweb.larc.nasa.gov/project/ dscovr/DSCOVR_EPIC_Calibration_Factors_V02.pdf). These calibration factors were obtained by comparing EPIC observations with measurements taken by low Earth orbit satellite instruments [4,7], and analyzing EPIC moon observations [7]. We use the latitude and longitude of pixels to identify the surface types according to the International Geosphere-Biosphere Programme (IGBP) surface ecosystem classifications.…”
Section: Methodsmentioning
confidence: 99%
“…At this point, the optical resolution of EPIC images is about 10 km, and the instantaneous field of view of a pixel is about 8 km. To reduce the amount of data transmitted from DSCOVR, four pixels are averaged onboard the spacecraft for all bands except the 443 nm band [4,7]. This yields downloaded images of 1024 × 1024 pixels with a sub-satellite optical resolution of approximately 20 km.…”
Section: Introductionmentioning
confidence: 99%
“…The calibration coefficient was estimated by comparing EPIC observations with LEO measurements for nonoxygen‐absorbing bands (e.g., Aura Ozone Monitoring Instrument and Suomi NPP Ozone Mapping and Profiler Suite for UV channels and MODIS Aqua and Terra for visible and NIR channels) and using lunar observations for oxygen‐absorbing bands (Geogdzhayev & Marshak, ; Herman, Huang, et al, ; Marshak et al, ). Note that reflectance is not normalized by the cosine of the solar zenith angle (SZA) in this study.…”
Section: Epic Observationsmentioning
confidence: 99%