MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202631072115 A) filed by C. V. Raman Global University on June 10, 2026, for High-Efficiency Solar Occultation Spectrometer For Atmospheric Composition Mapping.
Inventors include Debankur Pal; Asmita Agarwal; Debadutta Sahoo; Ramakant Senapati; and Dr. Soumya Mishra.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: A high-efficiency solar occultation spectrometer system for atmospheric composition mapping is disclosed, comprising a solar tracking fore-optics assembly, a high-resolution spectrometer module incorporating an optimised diffraction grating, a broadband radiation-hardened photodetector array, an on-board signal conditioning unit, an embedded spectral processing and retrieval module implemented on a radiation-hardened FPGA, and a satellite communication interface. The system exploits the solar occultation measurement geometry in which solar radiation is transmitted through successive tangent layers of the Earth's atmosphere during sunrise and sunset events observed from an orbital platform, providing elongated atmospheric path lengths that enhance trace gas detection sensitivity. Atmospheric transmission spectra acquired at successive tangent altitudes are processed in real time using Beer-Lambert Law inversion and onion-peeling retrieval algorithms to generate altitude-resolved concentration profiles of key atmospheric constituents including carbon dioxide, ozone, methane, nitrogen dioxide, and water vapour across altitude ranges spanning the troposphere and stratosphere. Self- calibration is achieved through direct use of the unattenuated solar disk as an inherent photometric reference, eliminating dependence on onboard lamp sources and ensuring long-term measurement stability. The compact and power-efficient architecture is configured for deployment on small satellite platforms, and the system delivers global atmospheric composition maps with high vertical resolution supporting applications in climate change monitoring, greenhouse gas inventory verification, ozone layer assessment, and atmospheric model validation.
Disclaimer: Curated by HT Syndication.
