In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@inproceedings{Bonavita:2021:10.1175/BAMS-D-20-0307.1,
author = {Bonavita, M and Arcucci, R and Carrassi, A and Dueben, P and Geer, AJ and Le, Saux B and Longepe, N and Mathieu, P-P and Raynaud, L},
doi = {10.1175/BAMS-D-20-0307.1},
pages = {E710--E716},
publisher = {AMER METEOROLOGICAL SOC},
title = {Machine Learning for Earth System Observation and Prediction},
url = {http://dx.doi.org/10.1175/BAMS-D-20-0307.1},
year = {2021}
}
TY - CPAPER
AU - Bonavita,M
AU - Arcucci,R
AU - Carrassi,A
AU - Dueben,P
AU - Geer,AJ
AU - Le,Saux B
AU - Longepe,N
AU - Mathieu,P-P
AU - Raynaud,L
DO - 10.1175/BAMS-D-20-0307.1
EP - 716
PB - AMER METEOROLOGICAL SOC
PY - 2021///
SN - 0003-0007
SP - 710
TI - Machine Learning for Earth System Observation and Prediction
UR - http://dx.doi.org/10.1175/BAMS-D-20-0307.1
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000651498500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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