An Automated Method to Estimate Tropical Cyclone Intensity Using SSM/I Imagery
Author:
Publisher
American Meteorological Society
Subject
Atmospheric Science
Link
http://journals.ametsoc.org/doi/pdf/abs/10.1175/1520-0450%282002%29041%3C0461%3AAAMTET%3E2.0.CO%3B2
Reference7 articles.
1. Cloud Classification of AVHRR Imagery in Maritime Regions Using a Probabilistic Neural Network
2. Improvement to a Neural Network Cloud Classifier
3. V. F. Dvorak, 1975 .Tropical cyclone intensity analysis and forecasting from satellite imagery., Mon. Wea. Rev., 103 :909 –918 .
4. Special sensor microwave imager derived global rainfall estimates for climatological applications
5. Real–Time Internet Distribution of Satellite Products for Tropical Cyclone Reconnaissance
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