Imperial College London

DrRossellaArcucci

Faculty of EngineeringDepartment of Earth Science & Engineering

Senior Lecturer in Data Science and Machine Learning
 
 
 
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Contact

 

r.arcucci Website

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wu:2021:10.1016/j.jocs.2021.101323,
author = {Wu, P and Chang, X and Yuan, W and Sun, J and Zhang, W and Arcucci, R and Guo, Y},
doi = {10.1016/j.jocs.2021.101323},
journal = {JOURNAL OF COMPUTATIONAL SCIENCE},
title = {Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state},
url = {http://dx.doi.org/10.1016/j.jocs.2021.101323},
volume = {51},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Wu,P
AU - Chang,X
AU - Yuan,W
AU - Sun,J
AU - Zhang,W
AU - Arcucci,R
AU - Guo,Y
DO - 10.1016/j.jocs.2021.101323
PY - 2021///
SN - 1877-7503
TI - Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state
T2 - JOURNAL OF COMPUTATIONAL SCIENCE
UR - http://dx.doi.org/10.1016/j.jocs.2021.101323
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000647164800009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 51
ER -