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Article

Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product

1
NASA Langley Research Center, Hampton, VA 23681, USA
2
Science Systems and Applications, Inc., 1 Enterprise Pkwy, Hampton, VA 23666, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 288; https://doi.org/10.3390/rs10020288
Received: 10 January 2018 / Revised: 7 February 2018 / Accepted: 8 February 2018 / Published: 13 February 2018
(This article belongs to the Section Atmospheric Remote Sensing)
The Clouds and the Earth’s Radiant Energy System (CERES) project relies on geostationary (GEO) imager derived TOA broadband fluxes and cloud properties to account for the regional diurnal fluctuations between the Terra and Aqua CERES and MODIS measurements. Anchoring the GEO visible calibration to the MODIS reference calibration and stability is critical for consistent fluxes and cloud retrievals across the 16 GEO imagers utilized in the CERES record. The CERES Edition 4A used GEO and MODIS ray-matched radiance pairs over all-sky tropical ocean (ATO-RM) to transfer the MODIS calibration to the GEO imagers. The primary GEO ATO-RM calibration was compared with the deep convective cloud (DCC) ray-matching and invariant desert/DCC target calibration methodologies, which are all tied to the same Aqua-MODIS calibration reference. Results indicate that most GEO record mean calibration method biases are within 1% with respect to ATO-RM. Most calibration method temporal trends were within 0.5% relative to ATO-RM. The monthly gain trend standard errors were mostly within 1% for all methods and GEOs. The close agreement amongst the independent calibration techniques validates all methodologies, and verifies that the coefficients are not artifacts of the methodology but rather adequately represent the true GEO visible imager degradation. View Full-Text
Keywords: calibration; geostationary; MODIS; ray-matching; DCC; Earth invariant targets calibration; geostationary; MODIS; ray-matching; DCC; Earth invariant targets
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MDPI and ACS Style

Doelling, D.; Haney, C.; Bhatt, R.; Scarino, B.; Gopalan, A. Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product. Remote Sens. 2018, 10, 288. https://doi.org/10.3390/rs10020288

AMA Style

Doelling D, Haney C, Bhatt R, Scarino B, Gopalan A. Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product. Remote Sensing. 2018; 10(2):288. https://doi.org/10.3390/rs10020288

Chicago/Turabian Style

Doelling, David, Conor Haney, Rajendra Bhatt, Benjamin Scarino, and Arun Gopalan. 2018. "Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product" Remote Sensing 10, no. 2: 288. https://doi.org/10.3390/rs10020288

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