Paper
12 December 2001 Simulation and correction of Triana-viewed Earth radiation budget with ERBE data
Patrick Minnis, Jianping Huang, David R. Doelling, Francisco P.J. Valero
Author Affiliations +
Proceedings Volume 4540, Sensors, Systems, and Next-Generation Satellites V; (2001) https://doi.org/10.1117/12.450681
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
This paper describes the simulation of the earth radiation budget (ERB) as viewed by Triana and the development of correction models for converting Triana-viewed radiances in to a complete ERB. A full range of Triana views and global radiation fields are simulated using data from the Earth Radiation Budget Experiment (ERBE) and analyzed with a set of empirical correction factors specific to the Triana views. The results show that the accuracy of global correction factors to estimate ERB from Triana radiances is a function of the Triana position from Lagrange-1 (L1) or the Sun position. Spectral analysis of the global correction factor indicates that both shortwave (SW) and longwave (LW) parameters undergo seasonal and diurnal cycles that dominate the periodic fluctuations. The diurnal cycle, especially its amplitude, is also strongly dependent on the seasonal cycle. Based on these results, models are developed to correct the radiances for unviewed areas and anisotropic emission and reflection. A preliminary assessment indicates that these correction models can be applied to Triana radiances to produce the most accurate global ERB to date.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick Minnis, Jianping Huang, David R. Doelling, and Francisco P.J. Valero "Simulation and correction of Triana-viewed Earth radiation budget with ERBE data", Proc. SPIE 4540, Sensors, Systems, and Next-Generation Satellites V, (12 December 2001); https://doi.org/10.1117/12.450681
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Cited by 5 scholarly publications.
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KEYWORDS
Satellites

Reflectivity

Data modeling

Clouds

Earth's atmosphere

Scanners

Solids

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