Paper
21 May 2012 Simulation framework to estimate the performance of CO2 and O2 sensing from space and airborne platforms for the ASCENDS mission requirements analysis
Denis Pliutau, Narasimha S. Prasad
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Abstract
The Active Sensing of CO2 Emissions over Nights Days and Seasons (ASCENDS) mission recommended by the NRC Decadal Survey has a desired accuracy of 0.3% in carbon dioxide mixing ratio (XCO2) retrievals requiring careful selection and optimization of the instrument parameters. NASA Langley Research Center (LaRC) is investigating 1.57 micron carbon dioxide as well as the 1.26-1.27 micron oxygen bands for our proposed ASCENDS mission requirements investigation. Simulation studies are underway for these bands to select optimum instrument parameters. The simulations are based on a multi-wavelength lidar modeling framework being developed at NASA LaRC to predict the performance of CO2 and O2 sensing from space and airborne platforms. The modeling framework consists of a lidar simulation module and a line-by-line calculation component with interchangeable lineshape routines to test the performance of alternative lineshape models in the simulations. As an option the line-by-line radiative transfer model (LBLRTM) program may also be used for line-by-line calculations. The modeling framework is being used to perform error analysis, establish optimum measurement wavelengths as well as to identify the best lineshape models to be used in CO2 and O2 retrievals. Several additional programs for HITRAN database management and related simulations are planned to be included in the framework. The description of the modeling framework with selected results of the simulation studies for CO2 and O2 sensing is presented in this paper.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Denis Pliutau and Narasimha S. Prasad "Simulation framework to estimate the performance of CO2 and O2 sensing from space and airborne platforms for the ASCENDS mission requirements analysis", Proc. SPIE 8379, Laser Radar Technology and Applications XVII, 83790K (21 May 2012); https://doi.org/10.1117/12.919476
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Atmospheric modeling

Carbon dioxide

Data modeling

Error analysis

LIDAR

Oxygen

Atmospheric optics

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