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Unsupervised Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations
We assess the quality of SSH reconstructions and further evaluate the network's performance in terms of eddy detection and physical properties.
Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library
Total column water vapor is an important factor for the weather and climate.
Building a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures
The present study focuses on the choice of the learning database and demonstrates that a judicious distribution of the geophysical parameters allows to markedly reduce the systematic regional biases of the retrieved SSS, which are due to the high noise on the TBs.
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