Thermodynamic and cloud parameter retrieval using infrared spectral data

Daniel K. Zhou; William L. Smith; Xu Liu; Allen M. Larar; Hung‐Lung A. Huang; Jun Li; Matthew J. McGill; Stephen A. Mango

doi:10.1029/2005GL023211

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Thermodynamic and cloud parameter retrieval using infrared spectral data

Journal article

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Thermodynamic and cloud parameter retrieval using infrared spectral data

Daniel K. Zhou, William L. Smith, Xu Liu, Allen M. Larar, Hung‐Lung A. Huang, Jun Li, Matthew J. McGill and Stephen A. Mango

Geophysical research letters, Vol.32(15), pp.L15805-n/a

08/2005

DOI: 10.1029/2005GL023211

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Abstract

High‐resolution infrared radiance spectra obtained from near nadir observations provide atmospheric, surface, and cloud property information. A fast radiative transfer model, including cloud effects, is used for atmospheric profile and cloud parameter retrieval. The retrieval algorithm is presented along with its application to recent field experiment data from the NPOESS Airborne Sounder Testbed – Interferometer (NAST‐I). The retrieval accuracy dependence on cloud properties is discussed. It is shown that relatively accurate temperature and moisture retrievals can be achieved below optically thin clouds. For optically thick clouds, accurate temperature and moisture profiles down to cloud top level are obtained. For both optically thin and thick cloud situations, the cloud top height can be retrieved with an accuracy of approximately 1.0 km. Preliminary NAST‐I retrieval results from the recent Atlantic‐THORPEX Regional Campaign (ATReC) are presented and compared with coincident observations obtained from dropsondes and the nadir‐pointing Cloud Physics Lidar (CPL).

Details

Title: Subtitle: Thermodynamic and cloud parameter retrieval using infrared spectral data
Creators: Daniel K. Zhou - Langley Research Center
William L. Smith - Hampton University
Xu Liu - Langley Research Center
Allen M. Larar - Langley Research Center
Hung‐Lung A. Huang - University of Wisconsin–Madison
Jun Li - University of Wisconsin–Madison
Matthew J. McGill - Goddard Space Flight Center
Stephen A. Mango - Silver Spring Networks
Resource Type: Journal article
Publication Details: Geophysical research letters, Vol.32(15), pp.L15805-n/a
DOI: 10.1029/2005GL023211
ISSN: 0094-8276
eISSN: 1944-8007
Number of pages: 5
Language: English
Date published: 08/2005
Academic Unit: Chemical and Biochemical Engineering; Physics and Astronomy
Record Identifier: 9984277265902771

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