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Towards an objective assessment of climate multi-model ensembles. A case study in the Senegalo-Mauritanian upwelling region.
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- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-194
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- Article
Separation of Internal and Forced Variability of Climate Using a U‐Net.
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- Journal of Advances in Modeling Earth Systems, 2024, v. 16, n. 6, p. 1, doi. 10.1029/2023MS003964
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- Article
Learning Sea Surface Height Interpolation From Multi‐Variate Simulated Satellite Observations.
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- Journal of Advances in Modeling Earth Systems, 2024, v. 16, n. 6, p. 1, doi. 10.1029/2023MS004047
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- Article
Detection and Attribution of Climate Change Using a Neural Network.
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- Journal of Advances in Modeling Earth Systems, 2023, v. 15, n. 10, p. 1, doi. 10.1029/2022MS003475
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- Article
Sea surface height super-resolution using high-resolution sea surface temperature with a subpixel convolutional residual network.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.28
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- Article
Detection and attribution of climate change: A deep learning and variational approach.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.17
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- Article
An inversion algorithm using neural networks to retrieve atmospheric CO total columns from high-resolution nadir radiances.
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- Journal of Geophysical Research. Atmospheres, 1999, v. 104, n. D19, p. 23841, doi. 10.1029/1999JD900431
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- Article
Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning.
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- Remote Sensing, 2021, v. 13, n. 8, p. 1445, doi. 10.3390/rs13081445
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- Article
Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach.
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- Remote Sensing, 2017, v. 9, n. 12, p. 1320, doi. 10.3390/rs9121320
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- Article
Towards an objective assessment of climate multi-model ensembles – a case study: the Senegalo-Mauritanian upwelling region.
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- Geoscientific Model Development, 2020, v. 13, n. 6, p. 2723, doi. 10.5194/gmd-13-2723-2020
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- Article
Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6.
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- Geoscientific Model Development, 2017, v. 10, n. 1, p. 85, doi. 10.5194/gmd-10-85-2017
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- Article
Estimation of phytoplankton pigments from ocean-color satellite observations in the Sénégalo-Mauritanian region by using an advanced neural classifier.
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- Ocean Science Discussions, 2019, p. 1, doi. 10.5194/os-2019-11
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- Article
Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier.
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- Ocean Science, 2020, v. 16, n. 2, p. 513, doi. 10.5194/os-16-513-2020
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- Article
Evidencing the Impact of Climate Change on the Phytoplankton Community of the Mediterranean Sea Through a Bioregionalization Approach.
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- Journal of Geophysical Research. Oceans, 2021, v. 126, n. 4, p. 1, doi. 10.1029/2020JC016808
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- Article
Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps.
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- Journal of Geophysical Research. Oceans, 2019, v. 124, n. 8, p. 5827, doi. 10.1029/2019JC015131
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- Article
Estimation of Secondary Phytoplankton Pigments From Satellite Observations Using Self‐Organizing Maps (SOMs).
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- Journal of Geophysical Research. Oceans, 2019, v. 124, n. 2, p. 1357, doi. 10.1029/2018JC014450
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- Article
The Sicily Channel surface circulation revisited using a neural clustering analysis of a high-resolution simulation.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 7, p. 4545, doi. 10.1002/2015JC011472
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- Article
Scaling and stochastic cascade properties of NEMO oceanic simulations and their potential value for GCM evaluation and downscaling.
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- Journal of Geophysical Research. Oceans, 2014, v. 119, n. 9, p. 6444, doi. 10.1002/2014JC009811
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- Article
Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration.
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- Journal of Geophysical Research. Oceans, 2000, v. 105, n. C2, p. 3483, doi. 10.1029/1999JC900278
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Determination of the geophysical model function of the ERS-1 scatterometer by the use of neural networks.
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- Journal of Geophysical Research. Oceans, 1998, v. 103, n. C6, p. 12853, doi. 10.1029/97JC02178
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- Article
REMOTE SENSING OPERATIONS.
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- International Journal of Neural Systems, 1995, v. 6, n. 4, p. 447, doi. 10.1142/S0129065795000305
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Detecting decadal changes in ENSO using neural networks.
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- Climate Dynamics, 2007, v. 28, n. 2/3, p. 147, doi. 10.1007/s00382-006-0173-1
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- Article
Contributions of Internal Variability and External Forcing to the Recent Trends in the Southeastern Pacific and Peru–Chile Upwelling System.
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- Journal of Climate, 2020, v. 33, n. 24, p. 10555, doi. 10.1175/JCLI-D-19-0304.1
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- Article