Articles | Volume 7
https://doi.org/10.5194/adgeo-7-97-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/adgeo-7-97-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
02 Feb 2006
Artificial neural-network technique for precipitation nowcasting from satellite imagery
G. Rivolta
Centro di Eccellenza CETEMPS, Università dell’Aquila, L’Aquila, Italy
F. S. Marzano
Dipartimento di Ingegneria Elettronica, Universit`a di Roma “La Sapienza", Rome, Italy
Centro di Eccellenza CETEMPS, Università dell’Aquila, L’Aquila, Italy
E. Coppola
Centro di Eccellenza CETEMPS, Università dell’Aquila, L’Aquila, Italy
M. Verdecchia
Centro di Eccellenza CETEMPS, Università dell’Aquila, L’Aquila, Italy
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Cited
29 citations as recorded by crossref.
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- Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors P. Benevides et al. 10.3390/rs11080966
- Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals H. Meyer et al. 10.1016/j.atmosres.2015.09.021
- Extrapolation of Sequence of Geostationary Satellite Images for Weather Nowcasting B. Shukla et al. 10.1109/LGRS.2010.2060311
- Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data A. Kumar et al. 10.1371/journal.pone.0230114
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- Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests M. Kühnlein et al. 10.1175/JAMC-D-14-0082.1
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- Prediction of Satellite Image Sequence for Weather Nowcasting Using Cluster-Based Spatiotemporal Regression B. Shukla et al. 10.1109/TGRS.2013.2280094
- Monthly adjustment of Global Satellite Mapping of Precipitation (GSMaP) data over the VuGia^|^ndash;ThuBon River Basin in Central Vietnam using an artificial neural network T. Ngo-Duc et al. 10.3178/hrl.7.85
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