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A Study on the Prediction of Evapotranspiration Using Freely Available Meteorological Data

AuthID
P-00W-RH6

Author(s)

Vaz, PJ

Schütz, G

Guerrero, C

Cardoso, PJS

Editor(s)

Groen,D;Mulatier,C;Krzhizhanovskaya,VV;Sloot,PMA;Paszynski,M;Dongarra,JJ

Document Type

Proceedings Paper

Year published

2022

Published

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 13353 LNCS, Pages: 436-450

Conference

22Nd Annual International Conference on Computational Science, Iccs 2022, Date: 21 June 2022 through 23 June 2022

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Metadata
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Publication Identifiers

DOI: 10.1007/978-3-031-08760-8_37

SCOPUS: 2-s2.0-85134337990

Source Identifiers

ISSN: 0302-9743

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