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On the problem-decomposition of scalable 4D-Var Data Assimilation models.

, , and . HPCS, page 589-594. IEEE, (2015)

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Effective variational data assimilation in air-pollution prediction., , and . Big Data Min. Anal., 1 (4): 297-307 (2018)DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System., , , and . ICCS, volume 18 of Procedia Computer Science, page 1235-1244. Elsevier, (2013)A Neural SIR Model for Global Forecasting., , and . ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 254-266. PMLR, (2020)Weak Constraint Gaussian Processes for optimal sensor placement., , , , , and . J. Comput. Sci., (2020)Neural Assimilation., , and . ICCS (6), volume 12142 of Lecture Notes in Computer Science, page 155-168. Springer, (2020)Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting., and . J. Comput. Soc. Sci., 5 (2): 1427-1465 (November 2022)IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training., , , , , and . CoRR, (2023)On the variational data assimilation problem solving and sensitivity analysis., , , , and . J. Comput. Phys., (2017)A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)., , , , , , , and . PARCO, volume 36 of Advances in Parallel Computing, page 189-198. IOS Press, (2019)An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction., , , and . ICCS (4), volume 14076 of Lecture Notes in Computer Science, page 430-437. Springer, (2023)