Producing Exo atmospheric Fiduciary Reference Measurements of Lunar Spectral Irradiance from the Airborne Lunar Spectral Irradiance (air LUSI) March 2022 Flight Campaign
dc.contributor.author | Woodward, John | |
dc.contributor.author | Maxwell, Stephen | |
dc.contributor.author | Larason, Thomas | |
dc.contributor.author | Grantham, Steven | |
dc.contributor.author | Stone, Tom | |
dc.contributor.author | Turpie, Kevin | |
dc.contributor.author | Gadsden, S. Andrew | |
dc.contributor.author | Newton, Andrew | |
dc.date.accessioned | 2023-09-05T19:04:02Z | |
dc.date.available | 2023-09-05T19:04:02Z | |
dc.date.issued | 2023-06-12 | |
dc.description | 2023 CALCON Technical Meeting; North Logan, UT; June 10 – 13, 2024 | en_US |
dc.description.abstract | In March of 2022 air-LUSI made four flights aboard a NASA ER-2 high-altitude aircraft and measured the lunar spectral irradiance from above ~95% of the Earth’s atmosphere. Measurements were made at lunar phases of -60.3°, -37.0°, -25.0° and -12.9° with a flight scheduled for -48.8° canceled due to high winds. The measurements are traceable to the SI through artifacts calibrated at NIST and used to calibrate air-LUSI while on the aircraft. An LED-based monitoring system then verifies the calibration during flight. In addition to calibration, both the transfer spectrograph and the air-LUSI instrument were characterized for their linearity and change in response with temperature. A tunable laser was used to measure their bandpass and correct for stray light. We will discuss the calibration approach and the measurement chain that establishes the SI-traceability of these measurements. A pipeline developed in Python incorporates the characterization results with measurements taken at each stage of the calibration chain to obtain a series of at-sensor lunar irradiances for each flight. To achieve top-of-the atmosphere (TOA) irradiance the flight telemetry data was used to correct for the residual atmospheric losses using MODTRAN. The spectra were normalized to a single time point using the ROLO model to correct for the relative change in lunar irradiance during forty minutes of data collection. The result is an SI-traceable TOA lunar spectrum for each flight. Our approach to developing an uncertainty budget will also be discussed. | en_US |
dc.description.uri | https://digitalcommons.usu.edu/calcon/calcon2023/All2023Content/3/ | en_US |
dc.format.extent | 27 slides | en_US |
dc.genre | presentations (communicative events) | en_US |
dc.identifier | doi:10.13016/m2xu2t-9gxx | |
dc.identifier.uri | http://hdl.handle.net/11603/29539 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC GESTAR II Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology (JCET) | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en_US |
dc.rights | Public Domain Mark 1.0 | * |
dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
dc.title | Producing Exo atmospheric Fiduciary Reference Measurements of Lunar Spectral Irradiance from the Airborne Lunar Spectral Irradiance (air LUSI) March 2022 Flight Campaign | en_US |
dc.type | Image | en_US |
dcterms.creator | https://orcid.org/0000-0002-1637-6008 | en_US |