Automatic estimation of tropical cyclone intensity using multi-channel TMI data: A genetic algorithm approach

Geophysical Research Letters

Volumn 32, Issue 11, 2005, Pages 1-5

  Kishtawal, C M ^a   Patadia, Falguni ^a   Singh, Randhir ^a   Basu, Sujit ^a   Narayanan, M S ^a   Joshi, P C ^a  

^a INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; AUTOMATION; FORECASTING; GENETIC ALGORITHMS; RAIN;

AUTOMATIC ESTIMATION; TRMM MICROWAVE IMAGER (TMI); TROPICAL CYCLONE; TROPICAL RAINFALL MEASURING MISSION (TRMM);

STORMS;

DATA PROCESSING; ERROR ANALYSIS; GENETIC ALGORITHM; REMOTE SENSING; SATELLITE IMAGERY; TROPICAL CYCLONE;

EID: 23844510512     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004GL022045     Document Type: Article

References (13)

1. Alvarez, A., C. Lopez, M. Riera, E. Hernandez-Garcia, and J. Tintore (2000), Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms, Geophys. Res. Lett., 27, 2709-2712.
2. Alvarez, A., A. Orfila, and J. Tintore (2001), DARWIN: An evolutionary program for nonlinear modeling of chaotic time series, Comput. Phys. Commun., 136, 334-349.
3. Bankert, R. L., and P. M. Tag (2002), An automated method to estimate tropical cyclone intensity using SSM/I imagery, J. Appl. Meteorol., 41, 461-472.
4. Brueske, K. F., and C. S. Velden (2003), Satellite-based tropical cyclone intensity estimation using the NOAA-KLM series advanced microwave sounding unit (AMSU), Mon. Weather Rev., 131, 687-697.
5. Demuth, J. L., M. DeMaria, J. A. Knaff, and T. H. Vonder Haar (2004), Evaluation of advanced microwave sounding unit tropical-cyclone intensity and size estimation algorithms, J. Appl. Meteorol., 43, 282-296.
6. Dvorak, V. F. (1975), Tropical cyclone intensity analysis and forecasting from satellite imagery, Mon. Weather Rev., 103, 909-918.
7. Dvorak, V. F. (1984), Tropical cyclone intensity analysis using satellite data, NOAA Tech Rep. NESDIS 11, 47 pp., Natl. Oceanic and Atmos. Admin., Silver Spring, Md.
8. Glass, M., and G. W. Felde (1992), Intensity estimation of tropical cyclones using SSM/I brightness temperatures, paper presented at 6th Conference on Satellite Meteorology and Oceanography, Am. Meteorol. Soc., Atlanta, Ga.
9. Kishtawal, C. M., S. Basu, F. Patadia, and P. K. Thapliyal (2003), Forecasting summer rainfall over India using genetic algorithm, Geophys. Res. Lett., 30(23), 2203, doi:10.1029/2003GL018504.
10. Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson (1998), The Tropical Rainfall Measuring Mission (TRMM) Sensor Package, Journal of Atmos. and Oceanic Tech., 15(3), 809-817.
11. Spencer, R. W., H. M. Goodman, and R. E. Hood (1989), Precipitation retrieval over land and ocean with the SSM/I: Identification and characteristics of the scattering signal, J. Atmos. Oceanic Technol., 6, 254-273.
12. Szpiro, G. G. (1997), Forecasting chaotic time series with genetic algorithms, Phys. Rev. E, 55, 2557-2568.
13. Velden, C., et al. (2004), Toward an objective satellite-based algorithm to provide real-time estimates of TC intensity using integrated multispectral (IR and MW) observations, paper presented at 26th Conference on Hurricanes and Tropical Meteorology, Am. Meteorol. Soc., Miami, Fla.