Up: A Fuzzy Logic Approach
Previous: Acknowledgements
- 1
-
K. A. Browning and R. J. Donaldson Jr.
Airflow and structure of a tornadic storm.
J. Atmos. Sci, 20:533-545, 1963.
- 2
-
T.D. Crum and R.L. Alberty.
The WSR-88D and the WSR-88D operational support facility.
Bulletin of the American Meteorological Society, 74:1669-1687,
1993.
- 3
-
R. Delanoy and Seth W. Troxel.
Machine intelligent gust front detection.
The Lincoln Laboratory Journal, 6:187-212, 1993.
- 4
-
R.J. Donaldson, R.M. Dyer, and M.J. Krauss.
An objective evaluator of techniques for predicting severe weather
events.
In 9th Conference on Severe Local Storms, pages 321-326,
Norman, OK, 1975. Amer. Meteor. Soc.
- 5
-
C. Doswell.
The operational meteorology of convective weather: Storm scale
analysis.
Technical report, Environmental Sciences Group, Boulder, CO, 1985.
- 6
-
K. Howard and J. Gourley.
Evaluating the magnitude of uncertainties in WSR-88D measurements
and measuring this impact on storm attribute trends - an initial study.
Technical report, National Severe Storms Laboratory, Norman, OK,
1995.
- 7
-
G. Klir and T. Folger.
Fuzzy Sets, Uncertainty and Information.
Prentice-Hall, Englewood Cliffs, NJ, 1988.
- 8
-
T. Krauss and J. Marwitz.
Precipitation processes within an Alberta supercell hailstorm.
Journal of the Atmos. Sciences, 41(6):1025-1034, 1984.
- 9
-
V. Lakshmanan and A. Witt.
Detection of bounded weak echo regions in meteorological images.
In 13th Int'l Conference on Pattern Recognition, pages
895-899, Vienna, 1996. International Association of Pattern Recognition.
- 10
-
V. Lakshmanan and A. Witt.
Classification of skewed distributions: Detecting severe updrafts.
In Artificial Intelligence and Soft Computing, pages 37-40,
Graz, Austria, 1997. International Association of Science and Technology for
Development.
- 11
-
V. Lakshmanan and A. Witt.
Detecting rare signatures.
In Artificial Neural Networks in Engineering ANNIE '97, pages
521-526, St. Louis, MO, 1997. ASME Press.
- 12
-
V. Lakshmanan and A. Witt.
A fuzzy logic approach to detecting severe updrafts.
AI Applications, 11(1):1-12, May 1997.
- 13
-
L. R. Lemon.
Severe storms radar identification techniques and warning criteria.
Technical report, National Severe Storms Forecast Center, Kansas
City, MO, 1980.
- 14
-
D. Mitchell.
The NSSL tornado detection algorithm.
Weather and Forecasting, under review.
- 15
-
D. Smalley, R. Donaldson, I. Harris, S. Tung, and P. Desrochers.
Quantification of severe storm structures.
In 27th Conference on Radar Meteorology, pages 617-619, Vail,
CO, 1995. American Meteorological Society.
- 16
-
T. Smith.
Visualization of WSR-88D data in 3d using application visualization
software.
In 14th Conf. on Weather Forecasting, 1995.
- 17
-
G. Stumpf and A. Witt.
The NSSL mesocyclone detection algorithm for the WSR-88D.
Weather and Forecasting, under review, 1997.
- 18
-
W. Voxman and R. Goetschel.
A note on the characterization of the max and min operators.
Information Sciences, 30:5-10, 1983.
- 19
-
D. Wilks.
Statistical Methods in Atmospheric Sciences.
Academic Press, 1995.
- 20
-
A. Witt.
An enhanced hail detection algorithm for the WSR-88D.
Weather and Forecasting, under review.
- 21
-
L. Zadeh.
Fuzzy sets.
Information and Control, 8:338-353, 1965.
Lakshman : lakshman@nssl.noaa.gov