An anemometer data quality control method designed for a turbulence and wind shear prediction algorithm

Conference on Aviation, Range, and Aerospace Meteorology

Volumn , Issue , 2004, Pages 749-753

  Weekley, R Andrew ^a   Goodrich, R K ^a   Praskovsky, A ^a   Comman, L B ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA QUALITY; MITIGATE ERRORS; WIND SHEAR; WIND SPEED;

ALGORITHMS; ANEMOMETERS; DATA REDUCTION; ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS; TURBULENT FLOW; WIND;

METEOROLOGY;

EID: 23944451167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Barron, R. and V. Yates, 2004: Overview of the Juneau terrain-induced turbulence and wind shear project. Proceedings, 11th AMS Conf. on Aviation, Range and Aerospace Meteorology, Hyannis, 4-8 Oct. (on cd)
2. Morse, C.S., S.G. Carson, D. ALbo, S. Mueller, S. Gerding and R.K. Goodrich, 2004: Generation of turbulence and wind shear alerts: Anatomy of a warning system. Proceedings, 11th AMS Conf. on Aviation, Range and Aerospace Meteorology, Hyannis, 4-8 Oct. (on cd)
3. Weekley, R. A., Goodrich, R.K.,. Cornman, L.B, 2003: Fuzzy Image Processing Applied to Time Series Analysis, CD-ROM, 3rd. Conf. Artificial Intelligence Applications to the Environmental Sci., AMS, paper 4.3