A numerical technique based on the 'least-square error method' for evaluating fluxes and other surface-layer parameters is proposed. The special feature of this method is that it does not require a prior knowledge of the temperature profile. It can, in fact, be used to predict the temperature profil
A determinant hypothesis for the superadiabatic wind and temperature profiles
β Scribed by C. H. B. Priestley
- Publisher
- John Wiley and Sons
- Year
- 1960
- Tongue
- English
- Weight
- 332 KB
- Volume
- 86
- Category
- Article
- ISSN
- 0035-9009
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The view is advanced that values of the MoninβObukhov coefficients, as they are obtained from field data, are products of smoothing rather than true physical constants of a steady regime intermediate between free and forced convection. This hypothesis provides a satisfactory prediction of the first coefficient and, if it is correct, reduces the dual problem of heat and momentum transfer in superadiabatic conditions to the specification of four constants : von KΓ‘rmΓ‘n's constant, Priestley's free convection constant, and the ratio K~H~/K~M~ in neutral and in free convection conditions.
In inversion conditions it has yet to be shown whether the constancy of stress and heat flux extend very far, if at all, above the level where significant departures from the neutral profile begin. Thus the basic assumption of some common current approaches still awaits examination.
π SIMILAR VOLUMES
The profile structure of wind speed and temperature in katabatic flow over a melting glacier is analyzed within the log-linear framework. Similarity between windspeed and temperature profiles is indicated but the log-linear model should be restricted to heights within 1.5 m of the ice. Marked deviat
## Abstract A new study has been made of the RisΓΈ profiles with the following conclusions: roughness lengths determined from neutral wind profiles selected by gradient Richardson number are biased towards high roughness lengths. Selecting the profiles by using a bulk Richardson number criterion yie