Imperial College London
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DrRossellaArcucci

Faculty of Engineering, Department 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{Schneider:2022:10.1038/s41612-022-00269-z,
author = {Schneider, R and Bonavita, M and Geer, A and Arcucci, R and Dueben, P and Vitolo, C and Le, Saux B and Demir, B and Mathieu, P-P},
doi = {10.1038/s41612-022-00269-z},
journal = {NPJ CLIMATE AND ATMOSPHERIC SCIENCE},
title = {ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction},
url = {http://dx.doi.org/10.1038/s41612-022-00269-z},
volume = {5},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Schneider,R
AU  - Bonavita,M
AU  - Geer,A
AU  - Arcucci,R
AU  - Dueben,P
AU  - Vitolo,C
AU  - Le,Saux B
AU  - Demir,B
AU  - Mathieu,P-P
DO  - 10.1038/s41612-022-00269-z
PY  - 2022///
SN  - 2397-3722
TI  - ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction
T2  - NPJ CLIMATE AND ATMOSPHERIC SCIENCE
UR  - http://dx.doi.org/10.1038/s41612-022-00269-z
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000814262400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 5
ER  -
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