Robust Analysis of Aerothermal Data
Abstract
The main premise driving our analysis of temperature data from a turbulent atmosphere is that it is a local power law process. This means that the power law itself the power (slope) and the multiplicative constant (log intercept) is not a constant but a slowly varying function, deterministic or random. We estimate the slope and log intercept of the scale spectrum by appropriately segmenting the data and then removing segmentation effects by a filtering process. An important aspect of the model that we use is separation of scales in the variation of the estimate parameters (slope and log intercept) from the underlying process that generates the power law spectra. This will be the starting point for a detailed theoretical development of the methods that we have introduced here.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 17, 1998
- Accession Number
- ADA340259
Entities
People
- C. L. Rino
- G. Papanicolaou
- Knut Sølna
- V. Kruger