APA (7th ed.) Citation

Mignac, D., Martin, M., Fiedler, E., Blockley, E., & Fournier, N. (2022). Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite-derived sea-ice thickness data from CryoSat-2 and SMOS in the Arctic. Quarterly Journal of the Royal Meteorological Society.

Chicago Style (17th ed.) Citation

Mignac, Davi, Matt Martin, Emma Fiedler, Ed Blockley, and Nicolas Fournier. "Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the Assimilation of Satellite-derived Sea-ice Thickness Data from CryoSat-2 and SMOS in the Arctic." Quarterly Journal of the Royal Meteorological Society 2022.

MLA (9th ed.) Citation

Mignac, Davi, et al. "Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the Assimilation of Satellite-derived Sea-ice Thickness Data from CryoSat-2 and SMOS in the Arctic." Quarterly Journal of the Royal Meteorological Society, 2022.