Efficient deep data assimilation with sparse observations and time-varying sensors

24 October 2023

Papers citing "Efficient deep data assimilation with sparse observations and time-varying sensors"

7 / 7 papers shown

Title
From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Carolina Introini Stefano Riva J. Nathan Kutz Antonio Cammi AI4CE 57 0 0 13 Mar 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 104 0 0 13 Feb 2025
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint Hanyang Wang Hao Zhou Sibo Cheng AI4CE 23 4 0 31 Aug 2024
FuXi Weather: An end-to-end machine learning weather data assimilation and forecasting system Xiuyu Sun Xiaohui Zhong Xiaoze Xu Yuanqing Huang Hao Li Jie Feng Wei Han Libo Wu Yuan Qi AI4Cl 33 1 0 10 Aug 2024
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks Sibo Cheng Mingming Qiu 27 22 0 11 Nov 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning Kai Fukami R. Maulik Nesar Ramachandra K. Fukagata Kunihiko Taira 36 142 0 03 Jan 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,902 0 13 Jun 2015