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}
}

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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