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{Arcucci:2019:10.1016/j.jcp.2018.10.042,
author = {Arcucci, R and Mottet, L and Pain, C and Guo, Y-K},
doi = {10.1016/j.jcp.2018.10.042},
journal = {JOURNAL OF COMPUTATIONAL PHYSICS},
pages = {51--69},
title = {Optimal reduced space for Variational Data Assimilation},
url = {http://dx.doi.org/10.1016/j.jcp.2018.10.042},
volume = {379},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Arcucci,R
AU - Mottet,L
AU - Pain,C
AU - Guo,Y-K
DO - 10.1016/j.jcp.2018.10.042
EP - 69
PY - 2019///
SN - 0021-9991
SP - 51
TI - Optimal reduced space for Variational Data Assimilation
T2 - JOURNAL OF COMPUTATIONAL PHYSICS
UR - http://dx.doi.org/10.1016/j.jcp.2018.10.042
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000456429600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
VL - 379
ER -