TES L1B Subsystem is a computer program that performs several functions for the Tropospheric Emission Spectrometer (TES). The term "L1B" (an abbreviation of "level 1B"), refers to data, specific to the TES, on radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESRs), plus ancillary geolocation, quality, and engineering data. The functions performed by TES L1B Subsystem include shear analysis, monitoring of signal levels, detection of ice build-up, and phase correction and radiometric and spectral calibration of TES target data. Also, the program computes NESRs for target spectra, writes scientific TES level-1B data to hierarchical- data-format (HDF) files for public distribution, computes brightness temperatures, and quantifies interpixel signal variability for the purpose of firstorder cloud and heterogeneous land screening by the level-2 software summarized in the immediately following article. This program uses an in-housedeveloped algorithm, called "NUSRT," to correct instrument line-shape factors.
This program was written by Richard C. De Baca, Edwin Sarkissian, Mariyetta Madatyan, Douglas Shepard, Scott Gluck, Mark Apolinski, James McDuffie, and Dennis Tremblay of Caltech for NASA's Jet Propulsion Laboratory. For further information, access the Technical Support Package (TSP) free online at www.techbriefs.com/tsp under the Software category.
This software is available for commercial licensing. Please contact Karina Edmonds of the California Institute of Technology at (626) 395-2322. Refer to NPO-35218.
This Brief includes a Technical Support Package (TSP).
Processing TES Level-1B Data
(reference NPO-35218) is currently available for download from the TSP library.
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Overview
The document is a Technical Support Package (NPO-35218) from NASA's Jet Propulsion Laboratory, detailing software designed for processing TES (Tropospheric Emission Spectrometer) Level-1B data as part of the Earth Observing System (EOS) Aura mission. This software plays a crucial role in monitoring and analyzing atmospheric data, specifically focusing on shear analysis, signal level monitoring, and ice detection.
Key features of the software include the utilization of the NUSRT algorithm, which was developed in-house for instrument line shape compression factor correction. This algorithm is significantly more efficient than the previous Shannon Linear Interpolation algorithm, being nearly 11 times faster. The software is designed to handle a high volume of data, processing 5,670 target scenes every other day, which necessitates its efficiency, flexibility, and accuracy.
The software's primary objectives are to monitor the performance of the TES instrument, eliminate the effects of optical geometry and Doppler shift from incoming signals, compute the Noise Equivalent Spectral Radiance (NESR) for target spectra, and resample these spectra to a common frequency grid for further analysis by Level 2 software. It also computes brightness temperature and quantifies interpixel signal variability, which are essential for cloud and heterogeneous land screening algorithms.
The output of the software includes scientific TES Level 1B data written in HDF format for public distribution, which contains critical information such as brightness temperature and quantified interpixel signal variability. This data is vital for understanding atmospheric conditions and contributes to broader scientific research and applications.
The document emphasizes the software's relevance to current and future NASA work, highlighting its integral role in the ongoing TES experiment and its contributions to aeronautical and space activities. It also notes that the software is part of NASA's Earth Science Enterprise, underscoring its importance in advancing scientific knowledge and technology in the field of Earth observation.
Overall, the Technical Support Package provides a comprehensive overview of the software's capabilities, improvements over previous applications, and its significance within NASA's mission to monitor and understand Earth's atmosphere.
