NNICE - A neural network aircraft icing algorithm

Environmental Modelling and Software

Volumn 20, Issue 10, 2005, Pages 1335-1342

  McCann, Donald W ^a,b  

^a Aviation Weather Center   (United States)

^b Aviation Weather Research   (United States)

Author keywords

Aircraft icing; Neural network; NNICE

Indexed keywords

ALGORITHMS; ATMOSPHERIC HUMIDITY; CLOUDS; DATA REDUCTION; EARTH ATMOSPHERE; HEAT CONVECTION; METEOROLOGY; TRANSFER FUNCTIONS;

AIR TEMPERATURE; ICING; PARTIAL FUNCTIONS;

NEURAL NETWORKS;

AIRCRAFT; ALGORITHM; ICE;

EID: 16244422709     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2004.09.027     Document Type: Article

References (21)

1. F. Anctil, C. Perrin, and V. Andréassian Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models Environ. Modell. Softw. 19 2004 357 368
2. R. Bleck, and S.G. Benjamin Regional weather prediction with a model combining terrain-following and isentropic coordinates Mon. Weather Rev. 121 1993 1770 1785
3. Bohorquez, M.A., McCann, D.W., 1995. Model proximity soundings near significant aircraft icing reports. Proceedings of the Sixth Conference on Aviation, Range and Aerospace Meteorology, Dallas TX, pp. 249-252.
4. H.E. Brooks Tornado warning performance in the past and future Bull. Am. Meteor. Soc. 85 2004 837 843
5. B.G. Brown, G. Thompson, R.T. Bruintjes, R. Bullock, and T. Kane Intercomparison of in-flight icing algorithms. Part II: Statistical results Weather Forecast. 12 1997 890 914
6. Brown, B.G., Young, G.S., 2000. Verification of icing and turbulence forecasts: why some verification statistics can't be computed using PIREPs. Proceeding of the Ninth Conference on Aviation, Range and Aerospace Meteorology, Orlando FL, pp. 393-398.
7. H.R. Byers Elements of Cloud Physics 1965 The University of Chicago Press Chicago, IL
8. W.C. Carpenter, and M.E. Hoffman Training backprop neural networks AI Expert 10 3 1995 30 33
9. M. Caudill Neural Networks Primer 1990 Miller Freeman Publications 64 pp.
10. C.A. Doswell III, R. Davies-Jones, and D.L. Keller On summary measures of skill in rare event forecasting based on contingency tables Weather Forecast. 5 1990 576 585
11. J.F. Mas, H. Puig, J.L. Palacio, and A. Sosa-López Modelling deforestation using GIS and artificial neural networks Environ. Modell. Softw. 19 2004 461 471
12. D.W. McCann A neural network short-term forecast of significant thunderstorms Weather Forecast. 7 1992 525 534
13. D.W. McCann Three-dimensional computations of equivalent potential vorticity Weather Forecast. 10 1995 798 802
14. McCann, D.W., 1997. Five ways to produce supercooled freezing drizzle drops. Proceeding of the Seventh Conference on Aviation, Range and Aerospace Meteorology, Long Beach CA, pp. 94-99.
15. B. Schwartz The quantitative use of PIREPS in developing aviation weather guidance products Weather Forecast. 11 1996 372 384
16. P. Schultz, and M.K. Politovich Toward the improvement of aircraft-icing forecasts for the continental United States Weather Forecast. 7 1992 491 500
17. J. Stanley Introduction of Neural Networks 1988 California Scientific Software 255 pp.
18. A. Tafferner, T. Hauf, C. Leifeld, T. Hafner, H. Leykauf, and U. Voigt ADWICE: Advanced Diagnosis and Warning System for Aircraft Icing Environments Weather Forecast. 18 2003 184 203
19. G. Thompson, R.T. Bruintjes, B.G. Brown, and F. Hage Intercomparison of in-flight icing algorithms. Part I: WISP94 real-time icing prediction and evaluation program Weather Forecast. 12 1997 878 889
20. A. Tremblay, A. Glazer, W. Szyrmer, G. Isaac, and I. Zawadzki Forecasting of supercooled clouds Mon. Weather Rev. 123 1995 2098 2113
21. Wright, W.B, 2002. User Manual for the NASA Glenn Ice Accretion Code LEWICE, version 2.2.2, National Aeronautics and Space Administration Contract Report NASA/CR-2002-211793 (available electronically at http://gltrs.grc.nasa. gov), 407 pp.