HIGHLIGHTS
- who: Hydrol. Earth Syst. Sci. and colleagues from the Sciences, u00dcru00fcmqi, Xinjiang, China , College of Resources and Environment, University of the Chinese Academy of Sciences have published the research work: Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis, in the Journal: (JOURNAL)
- what: Researchers should treat the results of this study with caution, as they were obtained only statistically.
- how: To fill this gap the authors evaluated this issue based on records of 139 developed models collected from 32 such studies.
- future . . .
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