23 July 2019 Assessment of the CubeSat Infrared Atmospheric Sounder impact on global numerical weather prediction using observational system simulation experiments
Yan Zhou, Narges Shahroudi, Sid Ahmed Boukabara, Kayo Ide, Tong Zhu, Ross Hoffman, Sean Casey, Flavio Iturbide-Sanchez
Author Affiliations +
Abstract

The CubeSat Infrared Atmospheric Sounder (CIRAS) is a proposed small satellite IR sounder developed in response to the challenges of high cost and possible data gaps for currently operational hyperspectral IR sounders, such as Atmospheric Infrared Sounder, Infrared Atmospheric Sounding Interferometer, and Crosstrack Infrared Sounder. A key objective of CIRAS is to demonstrate the technologies required for a low cost-to-orbit, operational IR sounder. CIRAS was designed by National Aeronautics and Space Administration’s Jet Propulsion Laboratory, with 625 channels measuring upwelling IR radiation of the Earth in the mid-wavelength IR spectrum region. Through observational system simulation experiments, the impact of assimilating CIRAS on global numerical weather prediction was assessed. CIRAS was simulated by applying the Community Radiative Transfer Model to profiles extracted from the Goddard Earth Observing System Model, Version 5 nature run for an afternoon polar orbiting sensor, and then assimilated by the National Centers for Environmental Prediction Global Data Assimilation System. Assimilating CIRAS improved global analysis and forecasts, when added to the currently operational observing configuration and to a data gap scenario.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2019/$28.00 © 2019 SPIE
Yan Zhou, Narges Shahroudi, Sid Ahmed Boukabara, Kayo Ide, Tong Zhu, Ross Hoffman, Sean Casey, and Flavio Iturbide-Sanchez "Assessment of the CubeSat Infrared Atmospheric Sounder impact on global numerical weather prediction using observational system simulation experiments," Journal of Applied Remote Sensing 13(3), 032508 (23 July 2019). https://doi.org/10.1117/1.JRS.13.032508
Received: 19 March 2019; Accepted: 19 June 2019; Published: 23 July 2019
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Infrared radiation

Satellites

Computer simulations

Mid-IR

Data modeling

Earth's atmosphere

Statistical analysis

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