Part I: Basic methods and algorithms for data assimilation
Author:
Publisher
Society for Industrial and Applied Mathematics
Link
http://epubs.siam.org/doi/pdf/10.1137/1.9781611974546.pt1
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data Assimilation with Deep Neural Nets Informed by Nudging;Lecture Notes in Computational Science and Engineering;2024
2. A framework for machine learning of model error in dynamical systems;Communications of the American Mathematical Society;2022-10-14
3. Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter;Bayesian Analysis;2022-01-01
4. A study of disproportionately affected populations by race/ethnicity during the SARS-CoV-2 pandemic using multi-population SEIR modeling and ensemble data assimilation;Foundations of Data Science;2021
5. An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation;Foundations of Data Science;2021
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