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20192026
most citedA multi-model ensemble Kalman filter for data assimilation and forecasting

42 citations · 141 across the 10 of their papers we have counts for

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physics.ao-ph2026

The interface of data assimilation and machine learning

Eviatar Bach

Data assimilation (DA) is the process of combining forecasts from a model with observations in order to optimally estimate the state of a system. This is critical for chaotic syste…

physics.ao-ph2021★ 40 cited

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers

Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh +2

There is growing interest in data-driven weather prediction (DDWP), for example using convolutional neural networks such as U-NETs that are trained on data from models or reanalysi…