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Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking

Alireza Taravat, Simon Proud, Simone Peronaci, Fabio Del Frate, Natascha Oppelt
2015 Remote Sensing  
A multilayer perceptron neural network cloud mask for Meteosat Second Generation SEVIRI (Spinning Enhanced Visible and Infrared Imager) images is introduced and evaluated.  ...  The model is trained for cloud detection on MSG SEVIRI daytime data. It consists of a multi-layer perceptron with one hidden sigmoid layer, trained with the error back-propagation algorithm.  ...  Acknowledgments MSG SEVIRI data provided by EUMETSAT.  ... 
doi:10.3390/rs70201529 fatcat:6objw36sdralhejknimgmxoo24

The CM-SAF and FUB Cloud Detection Schemes for SEVIRI: Validation with Synoptic Data and Initial Comparison with MODIS and CALIPSO

M. Reuter, W. Thomas, P. Albert, M. Lockhoff, R. Weber, K-G. Karlsson, J. Fischer
2009 Journal of Applied Meteorology and Climatology  
Here, the authors focus on the performance of cloud detection methods applied to measurements of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the first Meteosat Second Generation geostationary  ...  The retrieved cloud mask is the basis for calculating the cloud fractional coverage (CFC) but is also mandatory for retrieving other geophysical parameters.  ...  We thank the NWC-SAF consortium for providing the MSG/SEVIRI retrieval package. We further thank our reviewers for their helpful and valuable comments to improve this work.  ... 
doi:10.1175/2008jamc1982.1 fatcat:42xnqggqszhcpd2autf42yeqji

Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks

Johan Strandgren, Luca Bugliaro, Frank Sehnke, Leon Schröder
2017 Atmospheric Measurement Techniques  
the SEVIRI imager aboard the geostationary Meteosat Second Generation satellites.  ...  CiPS utilises a set of artificial neural networks trained with SEVIRI thermal observations, CALIOP backscatter products, the ECMWF surface temperature and auxiliary data.  ...  Generic structure of a multilayer perceptron (MLP), a form of a feed-forward artificial neural network used in this study. in Fig. 1 .  ... 
doi:10.5194/amt-10-3547-2017 fatcat:auyxykxzmzgihi3mnbvpn45fqq

Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks

Johan Strandgren, Luca Bugliaro, Frank Sehnke, Leon Schröder
2017 Atmospheric Measurement Techniques Discussions  
the SEVIRI imager aboard the geostationary Meteosat Second Generation satellites.  ...  CiPS utilises a set of artificial neural networks trained with SEVIRI thermal observations, CALIOP backscatter products, the ECMWF surface temperature and auxiliary data.  ...  Generic structure of a multilayer perceptron (MLP), a form of a feed-forward artificial neural network used in this study. in Fig. 1 .  ... 
doi:10.5194/amt-2017-64 fatcat:7viklzgl4jbpxf7ibnsyh6looy

Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks

Lea Beusch, Loris Foresti, Marco Gabella, Ulrich Hamann
2018 Remote Sensing  
In this study, we develop and compare satellite rainfall retrievals based on generalized linear models and artificial neural networks.  ...  With generalized linear models, we show that we are able to substantially improve in terms of hits by considering more IR channels and cloud property predictors.  ...  Acknowledgments: We would like to thank MeteoSwiss for giving us the opportunity to carry out this study.  ... 
doi:10.3390/rs10060939 fatcat:gjhcaabsg5bn7deicwdznvqkdu

Inversion of AMSR-E observations for land surface temperature estimation: 1. Methodology and evaluation with station temperature

C. Jiménez, C. Prigent, S. L. Ermida, J.-L. Moncet
2017 Journal of Geophysical Research - Atmospheres  
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not.  ...  Multilayer perceptrons are used to implement each neural network. The input layer has as many nodes as the number of frequency channels and associated emissivities used for the inversion.  ...  ) on board Meteosat Second Generation (MSG) hh [Trigo et al., 2011] ), 10.1002/2016JD026144 there are still no T s microwave products routinely available today.  ... 
doi:10.1002/2016jd026144 fatcat:rsfzto2qyjftrp4gyj32cx75tq

Meteorology and Oceanography

1952 Physics today  
Kakar of NASA for their generous support o f the author's research (Grants NAGW-3944 and NAG8-1233). ACKNOWLEDGMENTS Authors thank Dr.  ...  Acknowledgements: We thank the staff at EUMETSAT for help with the Meteosat data and the BADC for providing the ECMWF analyses. ACKNOWLEDGMENTS The authors are grateful to Prof.  ...  This is a typical pattern recognition problem, and can be solved using a multilayer perceptron neural network.  ... 
doi:10.1063/1.3067492 fatcat:gpzkh2et5ndj5lcss2jsmgxbiy

An innovative physical scheme to retrieve simultaneously surface temperature and emissivities using high spectral infrared observations from IASI

M. Paul, F. Aires, C. Prigent, I. F. Trigo, F. Bernardo
2012 Journal of Geophysical Research  
atmospheric temperature and water vapor profiles from infrared satellite observations over continental surfaces is a complex problem because of the heterogeneity of land surfaces and the difficulty of modeling  ...  Zhou, and the LSA SAF for their collaboration in this study or for providing their databases.  ...  The first author would also like to thank Hervé Le Treut and Laurence Picon for making this work possible.  ... 
doi:10.1029/2011jd017296 fatcat:ox44nmglnvefrhddhmszpdgtwy

Earthquake precursors in the light of peroxy defects theory: critical review of systematic observations [article]

Friedemann Freund, Guy Ouillon, John Scoville, Didier Sornette
2017 arXiv   pre-print
We review a unifying theory for a solid-state mechanism, based on decades of research bridging semi-conductor physics, chemistry and rock physics.  ...  In the second part of the review, we critically examine satellite and ground station data, recorded before past large earthquakes, as they have been claimed to provide evidence that precursory signals  ...  The time series of Radon concentration and other meteorological data during non-seismic periods are then fed into a multilayer perceptron (i.e. a multilayer neural network) in order to decipher the effect  ... 
arXiv:1711.01780v1 fatcat:jevv5hl6b5er7ieighsjy6x3li