Estimates of radiation over clouds and dust aerosols: Optimized number of terms in phase function expansion
- 1. Department of Atmospheric Sciences, Texas A and M University, College Station, TX 77843 (United States)
- 2. Satellite Meteorology and Climatology Division, Center for Satellite Applications and Research, NOAA/NESDIS, Camp Springs, MD 20746 (United States)
- 3. Joint Center for Satellite Data Assimilation, NOAA/NESDIS, Camp Springs, MD 20746 (United States)
- 4. QSS Group, Incorporated, Camp Springs, MD 20746 (United States)
- 5. Space Science and Engineering Center, University of Wisconsin Madison, Madison, WI 53706 (United States)
- 6. NASA Langley Research Center, Hampton, VA 23681 (United States)
Description
The bulk-scattering properties of dust aerosols and clouds are computed for the community radiative transfer model (CRTM) that is a flagship effort of the Joint Center for Satellite Data Assimilation (JCSDA). The delta-fit method is employed to truncate the forward peaks of the scattering phase functions and to compute the Legendre expansion coefficients for re-constructing the truncated phase function. Use of more terms in the expansion gives more accurate re-construction of the phase function, but the issue remains as to how many terms are necessary for different applications. To explore this issue further, the bidirectional reflectances associated with dust aerosols, water clouds, and ice clouds are simulated with various numbers of Legendre expansion terms. To have relative numerical errors smaller than 5%, the present analyses indicate that, in the visible spectrum, 16 Legendre polynomials should be used for dust aerosols, while 32 Legendre expansion terms should be used for both water and ice clouds. In the infrared spectrum, the brightness temperatures at the top of the atmosphere are computed by using the scattering properties of dust aerosols, water clouds and ice clouds. Although small differences of brightness temperatures compared with the counterparts computed with 4, 8, 128 expansion terms are observed at large viewing angles for each layer, it is shown that 4 terms of Legendre polynomials are sufficient in the radiative transfer computation at infrared wavelengths for practical applications.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jqsrt.2009.03.032Additional details
Identifiers
- DOI
- 10.1016/j.jqsrt.2009.03.032;
- PII
- S0022-4073(09)00142-3;
Publishing Information
- Journal Title
- Journal of Quantitative Spectroscopy and Radiative Transfer
- Journal Volume
- 110
- Journal Issue
- 13
- Journal Page Range
- p. 1190-1198
- ISSN
- 0022-4073
- CODEN
- JQSRAE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44000959
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AEROSOLS; ATMOSPHERES; BRIGHTNESS; CLOUDS; DUSTS; ERRORS; EXPANSION; ICE; INFRARED SPECTRA; LAYERS; LEGENDRE POLYNOMIALS; PEAKS; RADIANT HEAT TRANSFER; SCATTERING; SIMULATION; WATER; WAVELENGTHS
- Descriptors DEC
- COLLOIDS; DISPERSIONS; ENERGY TRANSFER; FUNCTIONS; HEAT TRANSFER; HYDROGEN COMPOUNDS; OPTICAL PROPERTIES; OXYGEN COMPOUNDS; PHYSICAL PROPERTIES; POLYNOMIALS; SOLS; SPECTRA
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.