A Method for Estimating Similarity Scaling and Obukhov Lengths from Discrete Vertical Profile Data
Abstract
Many schemes have been developed to transform discrete meteorological vertical profile data into continuous forms. However, problems with fitting highly nonlinear equations such as similarity formulations to discrete values of wind, temperature, and specific humidity in the surface boundary layer still exist, since the data deviates from the smooth theoretical profiles due to natural fluctuations and instrument errors. The authors have compared the results of the tried-and-true method with the results of their method that is based on the mean value theorem of calculus. The authors have dealt with the unstable, stable, and neutral cases, showing no significant difference in using either method.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1991
- Accession Number
- ADA245823
Entities
People
- Arnold Tunick
- Frank V. Hansen
- Henry Rachele