The GLO (GFCR Limb Occultation) sensor: a new sensor concept for upper troposphere and lower stratosphere (UTLS) composition and transport studies

Daniel Korwan; Richard Bevilacqua; Sergio Restaino; Justin Bobak; Freddie Santiago; Karl Hoppel; Scott Bailey; Stephen Noel; Justin Carstins; Cora Randall; Larry Gordley; Tom Marshall; Alan Marchant

doi:10.1117/12.2530708

30 August 2019 The GLO (GFCR Limb Occultation) sensor: a new sensor concept for upper troposphere and lower stratosphere (UTLS) composition and transport studies

Daniel Korwan, Richard Bevilacqua, Sergio Restaino, Justin Bobak, Freddie Santiago, Karl Hoppel, Scott Bailey, Stephen Noel, Justin Carstins, Cora Randall, Larry Gordley, Tom Marshall, Alan Marchant

Author Affiliations +

Proceedings Volume 11131, CubeSats and SmallSats for Remote Sensing III; 111310K (2019) https://doi.org/10.1117/12.2530708
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

The GLO instrument concept is a VNIR/MWIR solar occultation sensor designed to measure (all at < 1 km vertical resolution) O3, H2O, CH4, CO, HF, HCN, HCl, HDO, N2O, CO2 (for temperature), and aerosol from orbital altitudes. The vertical measurement range spans the entire middle atmosphere, but the sensor has been designed to particularly target transport and composition in the UTLS. With its small form factor and modest spacecraft requirements, GLO is well suited for constellation applications. We will describe one such implementation of GLO. The instrument concept, measurement and data acquisition approach, and potential applications will be discussed.

Conference Presentation

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Daniel Korwan, Richard Bevilacqua, Sergio Restaino, Justin Bobak, Freddie Santiago, Karl Hoppel, Scott Bailey, Stephen Noel, Justin Carstins, Cora Randall, Larry Gordley, Tom Marshall, and Alan Marchant "The GLO (GFCR Limb Occultation) sensor: a new sensor concept for upper troposphere and lower stratosphere (UTLS) composition and transport studies", Proc. SPIE 11131, CubeSats and SmallSats for Remote Sensing III, 111310K (30 August 2019); https://doi.org/10.1117/12.2530708

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