Paper
1 September 1990 In-situ radiation flux divergence measurements
Dominique A.H. Crommelynck
Author Affiliations +
Abstract
For the set of equations governing the motions of the atmosphere the knowledge by measurement of some of the terms of the energy equation is very challengin, especially those relative to the radiative and phase transition terms corresponding to heat sources or sinks. At the end of the 1950 decade a lot of interest 2, 3 was focussed on the determination of radiation flux divergence, its profiles and diabatic effect in relation with atmospheric dynamics. The so called "blackball" instrument was used on a large amount of soundings but turned out to be a misconcept. A detailed review of the different aspects about the radiative flux divergence, its measurement evaluation and theoretical calculation, the incertitudes and interest as a research field has been published by K. Y. Kondratyev whose conclusions and suggestions are still pertinent. In this presentation, the intention is to show that although delicate the radiation flux divergence can be measured directly and if kept in the context of the energy equation at microscale in the lower troposphere is directly related to atmospheric turbulence. The direct measurement method described will later be applied systematically to explore and quantify the behaviour of the radiation flux divergence in the lower troposphere where the ground albedo, the water content and the clouds play an important role on the atmospheric motions through their interaction with the atmospheric radiation field. A good understanding of this behaviour is of much interest for the research about the volume radiation flux divergence global distributions and variability that is part of the CERES project objectives.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dominique A.H. Crommelynck "In-situ radiation flux divergence measurements", Proc. SPIE 1299, Long-Term Monitoring of the Earth's Radiation Budget, (1 September 1990); https://doi.org/10.1117/12.21379
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KEYWORDS
Sensors

Wind energy

Humidity

Atmospheric modeling

Clouds

Data modeling

Calibration

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