Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model
Not on the map. Why?
Abstract (arXiv)
Data assimilation addresses the problem of identifying plausible state trajectories of dynamical systems given noisy or incomplete observations. In geosciences, it presents challenges due to the high-dimensionality of geophysical dynamical systems, often exceeding millions of dimensions. This work assesses the scalability of score-based data assimilation (SDA), a novel data assimilation method, in the context of such systems. We propose modifications to the score network architecture aimed at significantly reducing memory consumption and execution time. We demonstrate promising results for a two-layer quasi-geostrophic model.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 16 of its 33 references that are in the map. First posted on arXiv 3 Oct 2023.
Builds on
16 of 33 references.
References · 16
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2016Layer Normalizationcited by 5,579
- 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
- 2022A ConvNet for the 2020scited by 3,545
- 2020Fourier Neural Operator for Parametric Partial Differential Equationscited by 2,806
- 2022Video Diffusion Modelscited by 2,280
- 2017Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learningcited by 935
- 2016Training Deep Nets with Sublinear Memory Costcited by 825
4 more
- 2021Factorized Fourier Neural Operatorscited by 237
- 2022It's Raw! Audio Generation with State-Space Modelscited by 171
- 2023Score-based Data Assimilationcited by 91
- 2016Memory-Efficient Backpropagation Through Timecited by 78
Built on by
Citing papers per year: 2024: 5; 2025: 5; 2026: 1.
11 papers.
- 2024DiffDA: a Diffusion Model for Weather-scale Data Assimilationcited by 59
- 2024Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scalescited by 27
- 2025Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilationcited by 17
- 2024A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulationcited by 11
- 2025PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systemscited by 9
- 2024State-observation augmented diffusion model for nonlinear assimilation with unknown dynamicscited by 7
- 2025Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferencescited by 5
- 2024VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilationcited by 2
- 2025DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilationcited by 1
- 2026MIRA: A Score for Conditional Distribution Accuracy and Model Comparisoncited by 1
- 2025Generating time-consistent dynamics with discriminator-guided image diffusion modelscited by 0
- 2026MIRA: A Score for Conditional Distribution Accuracy and Model Comparison3 May 2026
- 2025DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation3 Nov 2025
- 2025Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences28 May 2025
- 2025PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems19 May 2025
- 2025Generating time-consistent dynamics with discriminator-guided image diffusion models14 May 2025
- 2025Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation25 Apr 2025
- 2024A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation19 Dec 2024
- 2024State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics31 Jul 2024
- 2024Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales19 Jun 2024
- 2024VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation22 May 2024
- 2024DiffDA: a Diffusion Model for Weather-scale Data Assimilation11 Jan 2024