Optimized Tropical Cyclone Winds From QuikSCAT: A Neural Network Approach

We have developed a neural network technique for retrieving accurate 12.5-km resolution wind speeds from Ku-band scatterometer measurements in tropical cyclone conditions including typical rain events in such storms. The method was shown to retrieve accurate wind speeds up to 40 m/s when compared wi...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2014-11, Vol.52 (11), p.7418-7434
Hauptverfasser:	Stiles, Bryan W., Danielson, Richard E., Poulsen, W. Lee, Brennan, Michael J., Hristova-Veleva, Svetla, Tsae-Pyng Shen, Fore, Alexander G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Cyclones Hurricanes Meteorology Neural networks Pollution measurement Radar remote sensing Rain Scatterometers spaceborne radar Storms Tracking Tropical cyclones Wind Wind speed
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