Ozone Mapping and Profiler Suite: using mission performance data to refine predictive contamination modeling

Genevieve Devaud; Glen Jaross

doi:10.1117/12.2066496

18 September 2014 Ozone Mapping and Profiler Suite: using mission performance data to refine predictive contamination modeling

Genevieve Devaud, Glen Jaross

Author Affiliations +

Proceedings Volume 9196, Systems Contamination: Prediction, Measurement, and Control 2014; 91960D (2014) https://doi.org/10.1117/12.2066496
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

On October 28, 2011, the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite launched at Vandenberg Air Force base aboard a United Launch Alliance Delta II rocket. Included among the five instruments was the Ozone Mapping and Profiler Suite (OMPS), an advanced suite of three hyperspectral instruments built by Ball Aerospace and Technologies Corporation (BATC) for the NASA Goddard Space Flight Center. Molecular transport modeling is used to predict optical throughput changes due to contaminant accumulation to ensure performance margin to End Of Life. The OMPS Nadir Profiler, operating at the lowest wavelengths of 250 – 310 nm, is most sensitive to contaminant accumulation. Geometry, thermal profile and material properties must be accurately modeled in order to have confidence in the results, yet it is well known that the complex chemistry and process dependent variability of aerospace materials presents a substantial challenge to the modeler. Assumptions about the absorption coefficients, desorption and diffusion kinetics of outgassing species from polymeric materials dramatically affect the model predictions, yet it is rare indeed that on-mission data is analyzed at a later date as a means to compare with modeling results. Optical throughput measurements for the Ozone and Mapping Profiler Suite on the Suomi NPP Satellite indicate that optical throughput degradation between day 145 and day 858 is less than 0.5%. We will show how assumptions about outgassing rates and desorption energies, in particular, dramatically affect the modeled optical throughput and what assumptions represent the on-orbit data.

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Genevieve Devaud and Glen Jaross "Ozone Mapping and Profiler Suite: using mission performance data to refine predictive contamination modeling", Proc. SPIE 9196, Systems Contamination: Prediction, Measurement, and Control 2014, 91960D (18 September 2014); https://doi.org/10.1117/12.2066496

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KEYWORDS

Data modeling

Telescopes

Diffusion

Ozone

Sensors

Aerospace engineering

Contamination

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