Paper
1 September 2015 Retrieved products from simulated hyperspectral observations of a hurricane
Joel Susskind, Louis Kouvaris, Lena Iredell, John Blaisdell, Thomas Pagano, William Mathews
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Abstract
This research uses General Circulation Model (GCM) derived products, with 1 km spatial resolution and sampled every 10 minutes, over a moving area following the track of a simulated severe Atlantic storm. Model products were aggregated over sounder footprints corresponding to 13 km in LEO, 2 km in LEO, and 5 km in GEO sampled every 72 minutes. We simulated radiances for instruments with AIRS-like spectral coverage, spectral resolution, and channel noise, using these aggregated products as the truth, and analyzed them using a slightly modified version of the operational AIRS Version-6 retrieval algorithm. Accuracy of retrievals obtained using simulated AIRS radiances with a 13 km footprint was similar to that obtained using real AIRS data. Spatial coverage and accuracy of retrievals are shown for all three sounding scenarios. The research demonstrates the potential significance of flying Advanced AIRS-like instruments on future LEO and GEO missions.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joel Susskind, Louis Kouvaris, Lena Iredell, John Blaisdell, Thomas Pagano, and William Mathews "Retrieved products from simulated hyperspectral observations of a hurricane", Proc. SPIE 9611, Imaging Spectrometry XX, 96110B (1 September 2015); https://doi.org/10.1117/12.2186835
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KEYWORDS
Clouds

Spatial resolution

Humidity

Temperature metrology

Satellites

Error analysis

Data modeling

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