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The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave SpectrometerGiven the substantial radiative effects of cirrus clouds and the need to validate cirrus cloud mass in climate models, it is important to measure the global distribution of cirrus properties with satellite remote sensing. Existing cirrus remote sensing techniques, such as solar reflectance methods, measure cirrus ice water path (IWP) rather indirectly and with limited accuracy. Submillimeter/wave radiometry is an independent method of cirrus remote sensing based on ice particles scattering the upwelling radiance emitted by the lower atmosphere. A new aircraft instrument, the Far Infrared Sensor for Cirrus (FIRSC), is described. The FIRSC employs a Fourier Transform Spectrometer (FTS). which measures the upwelling radiance across the whole submillimeter region (0.1 1.0-mm wavelength). This wide spectral coverage gives high sensitivity to most cirrus particle sizes and allows accurate determination of the characteristic particle size. Radiative transfer modeling is performed to analyze the capabilities of the submillimeter FTS technique. A linear inversion analysis is done to show that cirrus IWP, particle size, and upper-tropospheric temperature and water vapor may be accurately measured, A nonlinear statistical algorithm is developed using a database of 20000 spectra simulated by randomly varying most relevant cirrus and atmospheric parameters. An empirical orthogonal function analysis reduces the 500-point spectrum (20 - 70/cm) to 15 "pseudo-channels" that are then input to a neural network to retrieve cirrus IWP and median particle diameter. A Monte Carlo accuracy study is performed with simulated spectra having realistic noise. The retrieval errors are low for IWP (rms less than a factor of 1.5) and for particle sizes (rins less than 30%) for IWP greater than 5 g/sq m and a wide range of median particle sizes. This detailed modeling indicates that there is good potential to accurately measure cirrus properties with a submillimeter FTS.
Document ID
19990064261
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Evans, K. Franklin
(Colorado Univ. Boulder, CO United States)
Evans, Aaron H.
(Colorado Univ. Boulder, CO United States)
Nolt, Ira G.
(NASA Langley Research Center Hampton, VA United States)
Marshall, B. Thomas
(G and A Technical Software, Inc. Hampton, VA United States)
Date Acquired
August 19, 2013
Publication Date
May 1, 1999
Publication Information
Publication: Journal of Applied Meteorology
Publisher: American Meteorological Society
Volume: 38
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Other

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