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A statistical model for water‐vapour absorption
Abstract
A statistical model of a water‐vapour absorption band is discussed, and comparison with computations made by Cowling shows that it provides a very accurate account of the average transmission over narrow frequency bands. The model can be used to compute the atmospheric transmission by water vapour under conditions of meteorological importance which were not treated by Cowling.
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Cited by
The JRA-55 Reanalysis: General Specifications and Basic Characteristics
KOBAYASHI, S., OTA, Y., HARADA, Y., EBITA, A., MORIYA, M., ONODA, H., ONOGI, K., KAMAHORI, H., KOBAYASHI, C., ENDO, H., et al. (2015) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj.2015-001 · Cited by 4,760
Lacis, A. A., & Oinas, V. (1991) · Journal of Geophysical Research: Atmospheres · doi:10.1029/90jd01945 · Cited by 1,051
Granqvist, C. G., & Hjortsberg, A. (1981) · Journal of Applied Physics · doi:10.1063/1.329270 · Cited by 566
Random Lorentz Band Model with Exponential-Tailed S^−1 Line-Intensity Distribution Function*
Malkmus, W. (1967) · Journal of the Optical Society of America · doi:10.1364/josa.57.000323 · Cited by 436
Gao, B., & Goetz, A. F. H. (1990) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd095id04p03549 · Cited by 434
Metadata
- Authors
- Goody, R. M.
- Venue
- Quarterly Journal of the Royal Meteorological Society
- Publisher
- Wiley
- Published
- 1952-04
- Volume
- 78
- Issue
- 336
- Pages
- 165-169
- ISSN
- 0035-9009 (ISSN-L)
- 1477-870X
- OpenAlex
- W2069988801
- Cited by
- 362
- References
- 0
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A statistical model for water‐vapour absorption. https://app.cochat.ai/papers/10.1002/qj.49707833604
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- Goody, R. M. (1952). A statistical model for water‐vapour absorption. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.49707833604
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
