Retrieved products from simulated hyperspectral observations of a hurricane
Author(s) -
Joel Susskind,
Louis Kouvaris,
Lena Iredell,
John Blaisdell,
Thomas S. Pagano,
William G. Mathews
Publication year - 2015
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2186835
Subject(s) - atmospheric infrared sounder , hyperspectral imaging , remote sensing , footprint , computer science , environmental science , image resolution , radiance , meteorology , depth sounding , storm , ground truth , geology , troposphere , artificial intelligence , physics , paleontology , oceanography
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.
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