Presentation + Paper
4 October 2023 The impact of pixel size on the characterization of deep convective clouds for calibration
Conor Haney, David R. Doelling, Rajendra Bhatt, Prathana Khakurel, Benjamin Scarino, Arun Gopalan
Author Affiliations +
Abstract
The NASA CERES project provides the scientific community the observed TOA SW and LW fluxes for climate monitoring and climate model validation. CERES utilizes hourly geostationary imager derived broadband fluxes, which rely on the channel radiances and associated cloud retrievals, are used to estimate the broadband fluxes between CERES observations. This requires stable and consistent cross-platform imager visible channel calibration. The CERES project utilizes deep convective clouds (DCC) as an invariant Earth target to both monitor the stability of sensors and for radiometric scaling. GSICS, an international collaboration, is also evaluating and implementing the DCC invariant target calibration methodology to provide consistent calibration coefficients across geostationary imagers anchored to the Aqua- MODIS or the NOAA-20 VIIRS calibration reference. Tropical DCC are the brightest, coldest, most Lambertian, top of the atmosphere Earth targets. The DCC invariant target calibration methodology relies on a large ensemble of tropical DCC-identified pixel-level reflectances, which are aggregated as probability density functions (PDF). By assuming the monthly PDF shape is otherwise consistent in time excepting shifts in reflectance caused by changes in the sensor calibration, the imager stability is monitored. Radiometric scaling is accomplished by ratioing the sensor pair DCC PDF reflectance values. The success of the DCC methodology relies on consistent PDF distributions. The goal of this study is to determine the impact of pixel resolution on the DCC reflectance distribution. Single SNPP-VIIRS 750-m and Landsat 8 OLI 30-m granules are aggregated to degrade the pixel resolution from the native level. The DCC pixels are identified using a BT threshold. Most of the brightest DCC pixels are also the coldest, although there are exceptions. It was found that increasing the BT threshold exponentially increased the number of darker pixels. The pixel resolution did not seem to impact the DCC reflectance PDF distribution for pixel resolutions less than 3 km, which suggests that imagers of varying pixel resolutions may be radiometrically scaled to each other using DCC targets.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Conor Haney, David R. Doelling, Rajendra Bhatt, Prathana Khakurel, Benjamin Scarino, and Arun Gopalan "The impact of pixel size on the characterization of deep convective clouds for calibration", Proc. SPIE 12685, Earth Observing Systems XXVIII, 1268518 (4 October 2023); https://doi.org/10.1117/12.2677709
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KEYWORDS
Reflectivity

Pixel resolution

Landsat

Clouds

Calibration

Image resolution

Imaging systems

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