Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …
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 …
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
Due to complex natural and anthropogenic interconnected forcings, the dynamics of
suspended sediments within the ocean water column remains difficult to understand and …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
measure. The term “analogue” originally refers to the idea that certain geophysical systems …