Passaro, M., & Juhl, M. (2023). On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression. Ocean Dynamics: Theoretical, Computational and Observational Oceanography, 73(2), 107. https://doi.org/10.1007/s10236-023-01540-4
Chicago-referens (17:e uppl.)Passaro, Marcello, och Marie-Christin Juhl. "On the Potential of Mapping Sea Level Anomalies from Satellite Altimetry with Random Forest Regression." Ocean Dynamics: Theoretical, Computational and Observational Oceanography 73, no. 2 (2023): 107. https://doi.org/10.1007/s10236-023-01540-4.
MLA-referens (9:e uppl.)Passaro, Marcello, och Marie-Christin Juhl. "On the Potential of Mapping Sea Level Anomalies from Satellite Altimetry with Random Forest Regression." Ocean Dynamics: Theoretical, Computational and Observational Oceanography, vol. 73, no. 2, 2023, p. 107, https://doi.org/10.1007/s10236-023-01540-4.
