EGU22-636, updated on 26 Mar 2022
https://doi.org/10.5194/egusphere-egu22-636
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

PROM: a method for estimating error covariance functions for variational data assimilation schemes in ocean models 

Jose M. Gonzalez-Ondina1 and Georgy I. Shapiro2
Jose M. Gonzalez-Ondina and Georgy I. Shapiro
  • 1University of Plymouth Enterprise Ltd, Plymouth Ocean Forecasting Centre, Plymouth, Devon, U.K. (jose.ondina@plymouth.ac.uk)
  • 2School of Biological and Marine Sciences, Plymouth, Devon, United Kingdom of Great Britain – England, Scotland, Wales

How to cite: Gonzalez-Ondina, J. M. and Shapiro, G. I.: PROM: a method for estimating error covariance functions for variational data assimilation schemes in ocean models , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-636, https://doi.org/10.5194/egusphere-egu22-636, 2022.

This abstract has been withdrawn on 28 Mar 2022.