APA (7th ed.) Citation

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 Style (17th ed.) Citation

Passaro, Marcello, and 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 (9th ed.) Citation

Passaro, Marcello, and 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.