Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

S Cheng, C Quilodrán-Casas, S Ouala… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …

Evaluation of HY-2 series satellites map** capability on mesoscale eddies

F Yu, J Qi, Y Jia, G Chen - Remote Sensing, 2022 - mdpi.com
With the launches of HY-2B, HY-2C and HY-2D, the National Satellite Ocean Application
Service (NSOAS) successfully established the first batch of HY-2 constellation on 19 May …

Data-Driven interpolation of sea surface suspended concentrations derived from ocean colour remote sensing data

JM Vient, F Jourdin, R Fablet, B Mengual, L Lafosse… - Remote Sensing, 2021 - mdpi.com
Due to complex natural and anthropogenic interconnected forcings, the dynamics of
suspended sediments within the ocean water column remains difficult to understand and …

Analog ensemble data assimilation in a quasigeostrophic coupled model

I Grooms, C Renaud, Z Stanley… - Quarterly Journal of the …, 2023 - Wiley Online Library
The ensemble forecast dominates the computational cost of many data assimilation
methods, especially for high‐resolution and coupled models. In situations where the cost is …

Analog data assimilation for the selection of suitable general circulation models

J Ruiz, P Ailliot, TTT Chau, P Le Bras… - Geoscientific Model …, 2022 - gmd.copernicus.org
Data assimilation is a relevant framework to merge a dynamical model with noisy
observations. When various models are in competition, the question is to find the model that …

Data-driven map** with prediction neural network for the future wide-swath satellite altimetry

J Di, C Ma, G Chen - Frontiers in Marine Science, 2021 - frontiersin.org
Two-dimensional map** of sea surface height (SSH) for future wide-swath satellite
altimetry (WSA) is a challenge at present. So far, considering the utilization of data-driven …

Reconstructing the Ocean State Using Argo Data and a Data-Driven Method

E Oulhen, N Kolodziejczyk, P Tandeo… - … of Atmospheric and …, 2024 - journals.ametsoc.org
Over the past two decades, Argo profiles have provided unprecedented insight into the
global patterns of space and time variability of ocean temperature and salinity, significantly …

Selecting and weighting dynamical models using data-driven approaches

P Le Bras, F Sévellec, P Tandeo… - Nonlinear Processes …, 2024 - npg.copernicus.org
In geosciences, multi-model ensembles are helpful to explore the robustness of a range of
results. To obtain a synthetic and improved representation of the studied dynamic system …

Parallel-Dynamic Interpolation Algorithm of Sea Surface Height for Future 2D Altimetry Map** of Sea Surface Height

J Di, C Ma, G Chen - Journal of Ocean University of China, 2021 - Springer
The sea surface height data volume of the future wide-swath two-dimensional (2D) altimetric
satellite is thousands of times greater than that of nadir altimetric satellites. The time …

Analogue Forecasting Ensembles

P Platzer, B Chapron - … IN UPPER OCEAN DYNAMICS III: Stuod …, 2024 - books.google.com
Analogues are nearest neighbors of a system's state according to a given similarity
measure. The term “analogue” originally refers to the idea that certain geophysical systems …