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

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

24 October 2023
Sibo Cheng
Che Liu
Yike Guo
Rossella Arcucci
ArXivPDFHTML

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

6 / 6 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
55
0
0
13 Mar 2025
Dynamical system prediction from sparse observations using deep neural
  networks with Voronoi tessellation and physics constraint
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
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
23
1
0
10 Aug 2024
Observation Error Covariance Specification in Dynamical Systems for Data
  assimilation using Recurrent Neural Networks
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
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
32
140
0
03 Jan 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
1