Open AccessExploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data
Author(s) -
Farshid Rahmani,
Kathryn Lawson,
Wenyu Ouyang,
Alison P. Appling,
Samantha Oliver,
Chaopeng Shen
Publication year - 2020
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/abd501
Subject(s) - streamflow , equifinality , forcing (mathematics) , scale (ratio) , environmental science , mean squared error , computer science , variable (mathematics) , representation (politics) , drainage basin , climatology , hydrology (agriculture) , statistics , mathematics , artificial intelligence , geology , geography , cartography , mathematical analysis , geotechnical engineering , politics , political science , law