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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Krasnopolsky, V.M. Breaker, L.C. Gemmill, W.H. |
| Copyright Year | 1996 |
| Description | Author affiliation: Environ. Modeling Center, Nat. Center for Environ. Prediction, Camp Springs, MD, USA (Krasnopolsky, V.M.; Breaker, L.C.; Gemmill, W.H.) |
| Abstract | An improved neural network (NN) wind speed retrieval algorithm which covers the entire range permitted for retrievals both with respect to moisture and wind speed is presented. Improvements in the NN approach have permitted the development of a wind speed retrieval algorithm which can retrieve wind speeds up to /spl sim/25 m/sec for LWP concentrations <0.5 kg/m/sup 2/, with a bias of /spl sim/0.2 m/s and an rms error of /spl sim/1.75 m/s. Also, results are presented which demonstrate significant correlation (correlation coefficient /spl sim/0.75) between wind directions retrieved, using a NN, and buoy wind direction. Although the F10 SSM/I data set which was used in this study was noisy, higher quality data are now being used to develop a prototype for a NN wind direction retrieval algorithm for the SSM/I. |
| Starting Page | 1712 |
| Ending Page | 1714 |
| File Size | 328311 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780330684 |
| DOI | 10.1109/IGARSS.1996.517862 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-05-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Wind speed Moisture Transfer functions Sea surface Predictive models Springs Electronic mail Ink Noise generators |
| Content Type | Text |
| Resource Type | Article |
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