Flow autocorrelation: a dyadic approach
Crossref DOI link: https://doi.org/10.1007/s00168-018-0860-y
Published Online: 2018-02-09
Published Print: 2018-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bavaud, F.
Kordi, M.
Kaiser, C.
Funding for this research was provided by:
Université de Lausanne
Text and Data Mining valid from 2018-02-09
Article History
Received: 31 October 2014
Accepted: 16 January 2018
First Online: 9 February 2018