Use of NARX neural networks for Meteosat Second Generation SEVIRI very short-term cloud mask forecasting-Reference-Cited by-同舟云学术

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Use of NARX neural networks for Meteosat Second Generation SEVIRI very short-term cloud mask forecasting

Published:2016-11-20 Issue:24 Volume:37 Page:6205-6215
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Peronaci Simone¹,Taravat Alireza²,Del Frate Fabio¹,Oppelt Natascha³

Affiliation:

1. Department of Civil Engineering and Computer Science Engineering (D.I.C.I.I.), University of Rome ‘Tor Vergata’, Rome, Italy

2. GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany

3. Remote Sensing & Environmental Modelling Lab, Kiel University, Kiel, Germany

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2016.1249296

Reference19 articles.

1. An automated day-time cloud detection technique applied to MSG-SEVIRI data over Western Europe

2. A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI

3. Twenty-Four Hour Solar Irradiance Forecast Based on Neural Networks and Numerical Weather Prediction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Water Consumption Forecasting Model by Using a Nonlinear Autoregressive Network with Exogenous Inputs Based on Rough Attributes;Water;2022-01-23

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