A Triple-Photodetector System With Adaptive Optics for Enhanced Earth Energy Imbalance Monitoring

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Authors: Shimaa El-Meadawy, Ping Zhu, Mi Song, Huizeng Liu, Hong Qiu, Haitham S. Khallaf
Cited by: 0
References: 61

Abstract

Earth’s Energy Imbalance (EEI)—the net difference between incoming solar radiation and outgoing terrestrial radiation at the Top of the Atmosphere (TOA)—is a fundamental indicator of climate change. Traditional radiometric systems (e.g., CERES) are limited by absolute uncertainties of ±0.3 W/m2, while acceleration-based “Space Ball” methods require idealized spherical spacecraft and are vulnerable to non-gravitational disturbances and calibration complexity. This paper presents a novel triple-photodetector system integrated with adaptive optics to enhance EEI assessment. It employs two high-quantum-efficiency detectors for solar and reflected shortwave radiation and a third optimized for longwave thermal emission. Fast Steering Mirrors (FSMs) and a Wavefront Sensing and Correction (WFSC) framework actively compensate for Angle-of-Arrival (AOA) deviations and wavefront distortions—key error sources in spaceborne radiometry. Numerical validation using CERES and CESM2 datasets demonstrates that, under strong optical turbulence (D/r0= 10), the system reduces EEI trend underestimation from ∼38% to just2decade vs. ideal 0.47 ± 0.17 ). On a spherical spacecraft, it achieves mean EEI agreement within < 0.5% of both radiation pressure acceleration and Electrical Substitution Radiometer (ESR) benchmarks. Crucially, it offers sub-hourly temporal resolution, geometric flexibility, and simpler calibration—enabling scalable deployment in satellite constellations. This approach provides a viable pathway toward the < 0.1% absolute radiometric accuracy required for definitive climate monitoring.

Fields of Study & Subjects

Calibration and Measurement Techniques Atmospheric aerosols and clouds Adaptive optics and wavefront sensing

Publication details

Journal / source
IEEE Transactions on Geoscience and Remote Sensing
Volume
64
Pages
1–17
Publication date
1 January 2026