On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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4 results for “4D-Var”

Online model error correction with neural networks in the incremental 4D-Var frameworkstat.ML

Improved model error correction online with neural networks in 4D-Var.

problem Reconstructing dynamics of imperfectly observed physical models.

method Weak-constraint 4D-Var framework with online neural network training.

result Online model error correction yields more accurate results than offline.

4D-Var Neural Networks Model Error Correction Data Assimilation Geosciences

2022-10-25abs ↗pdf ↗

Development of an offline and online hybrid model for the Integrated Forecasting Systemstat.ML

Hybrid model improves weather forecasting accuracy.

problem Combining physics and machine learning for better weather predictions.

method Offline and online training of a neural network to correct model errors in the IFS.

result The hybrid model reduces forecast errors and improves accuracy.

weather forecasting hybrid model neural network model error correction 4D-Var

2024-03-06abs ↗pdf ↗

Using machine learning to correct model error in data assimilation and forecast applicationsstat.ML

Machine learning improves model forecasts by correcting errors.

problem Improving short- to mid-range forecasts by correcting model errors.

method Iterative method combining data assimilation and machine learning.

result Hybrid models outperform original models in forecasts.

machine learning data assimilation model error forecast improvement quasi-geostrophic

2020-10-23abs ↗pdf ↗

A comparison of combined data assimilation and machine learning methods for offline and online model error correctionstat.ML

New method combines machine learning with data assimilation for model error correction.

problem Correcting model errors using sparse and noisy observations.

method Hybrid machine learning and data assimilation methods.

result Tendency correction outperforms resolvent correction in data assimilation experiments.

machine learning data assimilation model error correction sparse observations online learning

2021-07-23abs ↗pdf ↗