Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model

Authors: Tian, Ganglin, Coz, Camille Le, Charantonis, Anastase Alexandre, Tantet, Alexis, Goutham, Naveen, Plougonven, Riwal

Subject Terms: Computer Science - Machine Learning, Physics - Atmospheric and Oceanic Physics

Access URL: http://arxiv.org/abs/2411.19077

Reconstruction of Sub-Surface Velocities from Satellite Observations Using Iterative Self-Organizing Maps

Authors: Chapman, Christopher, Charantonis, Anastase Alexandre

Subject Terms: Physics - Atmospheric and Oceanic Physics, Physics - Data Analysis, Statistics and Probability, Physics - Geophysics

Access URL: http://arxiv.org/abs/1607.08469

Reconstruction of Subsurface Velocities From Satellite Observations Using Iterative Self-Organizing Maps

Authors: Chapman, Christopher, Charantonis, Anastase Alexandre

Source: IEEE geoscience and remote sensing letters. 14(5):617-620

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100080604266.0x000001&indx=1&recIds=ETOCvdc_100080604266.0x000001

Completion of a Sparse GLIDER Database Using Multi-iterative Self-Organizing Maps (ITCOMP SOM)

Authors: Charantonis, Anastase Alexandre, Testor, Pierre, Mortier, Laurent, D’Ortenzio, Fabrizio, Thiria, Sylvie

Source: In Procedia Computer Science 2015 51:2198-2206

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Using satellite data to estimate partial pressure of CO2 in the Baltic Sea.

Authors: Parard, Gaëlle, Charantonis, Anastase Alexandre, Rutgersson, Anna

Source: Journal of Geophysical Research. Biogeosciences; Mar2016, Vol. 121 Issue 3, p1002-1015, 14p

Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning.

Authors: Puissant, Agathe, El Hourany, Roy, Charantonis, Anastase Alexandre, Bowler, Chris, Thiria, Sylvie, Farahnakian, Fahimeh, Pasolli, Edoardo

Source: Remote Sensing; Apr2021, Vol. 13 Issue 8, p1445, 1p

Subject Terms: MACHINE learning, SELF-organizing maps, PHYTOPLANKTON, PRINCIPAL components analysis, MISSING data (Statistics), TROPOSPHERIC ozone, PIGMENTS

Reconstructing 3D data from 2D observations with deep learning.

Authors: Charantonis, Anastase Alexandre^1,2 (AUTHOR)

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.

Subject Terms: *DEEP learning, *METEOROLOGY, *HIDDEN Markov models, *OCEAN dynamics, *REMOTE-sensing images