Physical-biogeochemical regional ocean model uncertainties stemming from stochastic parameterizations

Abstract

We complement the NEMO stochastic modules to calculate explicitly variable 2D spatial scales. The FORTRAN subroutine integrated within the "stopar.F90" module is compatible with the NEMO MPI environment. Acknowledgments. This work was carried out as part of the Copernicus Marine Environment Monitoring Service (CMEMS) "Stochastic Coastal/Regional Uncertainty Modelling" - SCRUM and SCRUM2 projects. CMEMS is implemented by Mercator Ocean International in the framework of a delegation agreement with the European Union. Part of this research was also made possible through the IKY Scholarships Programme and co-financed by the European Union (European Social Fund-ESF) and Greek national funds through the action entitled "Reinforcement of Postdoctoral Researchers", in the framework of the Operational Programme "Human Resources Development Programme, Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) 2014-2020. We acknowledge the use of ECMWF's computing and archive facilities in this research. This work was also supported by computational time granted from the Greek Research & Technology Network (GRNET) in the National HPC facility – ARIS – under project ID PA002007. cite: Vervatis, V.D., De Mey-Frémaux, P., Ayoub, N., Karagiorgos, J., Ghantous, M., Kailas, M., Testut, C.-E., and Sofianos, S., 2021. Assessment of a regional physical-biogeochemical stochastic ocean model. Part 1: ensemble generation, Ocean Modell., 160, 101781, https://doi.org/10.1016/j.ocemod.2021.101781 Vervatis, V.D., De Mey-Frémaux, P., Ayoub, N., Karagiorgos, J., Ciavatta, S., Brewin, R., and Sofianos, S., 2021. Assessment of a regional physical-biogeochemical stochastic ocean model. Part 2: empirical consistency. Ocean Modell., 160, 101770, https://doi.org/10.1016/j.ocemod.2021.101770