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Nitrogen Dioxide in the Stratosphere and Troposphere Measured by Ground-Based Absorption Spectroscopy
Abstract
The NO 2 abundance in the stratosphere has been determined from ground-based spectra of the rising and setting sun and moon and of the twilight sky near 4500 angstroms. The spectra were taken at the Fritz Peak Observatory, at an altitude of 3 kilometers in the Colorado mountains. Separation of the stratospheric contribution requires observations at a relatively unpolluted site; direct measurement of the tropospheric absorption in the Colorado mountains often yields an upper limit on the tropospheric mixing ratio of 0.1 part per billion. The stratospheric NO 2 abundance is two to three times greater at night than during the day and increases significantly during the course of a sunlit day; these changes are related to photolytic decomposition of NO 2 and N 2 O 5 in the daytime stratosphere. Absorption by NO 3 was sought but not found; the results set an upper limit of 2 percent on the nighttime abundance ratio of NO 3 to NO 2 in the stratosphere.
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Cited by
Geology and origin of the Chilean nitrate deposits
Ericksen, G. E. (1981) · Professional Paper · doi:10.3133/pp1188 · Cited by 279
The evolution of atmospheric ozone
Kasting, J. F., & Donahue, T. M. (1980) · Journal of Geophysical Research: Oceans · doi:10.1029/jc085ic06p03255 · Cited by 165
Metadata
- Authors
- Noxon, J. F.
- Venue
- Science
- Published
- 1975-08-15
- Volume
- 189
- Issue
- 4202
- Pages
- 547-549
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2000690863
- Cited by
- 323
- References
- 0
- FWCI
- 14.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Noxon, J. F. (1975). Nitrogen Dioxide in the Stratosphere and Troposphere Measured by Ground-Based Absorption Spectroscopy. Science. https://doi.org/10.1126/science.189.4202.547
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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.