Benefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3: scripts and routines

• Main Authors: Tian, Tian, Karami, Mehdi Pasha, Massonnet, François
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2020
• Subjects: Sea ice
• Online Access: https://doi.org/10.5281/zenodo.4297603

Scripts and routines used in Tian et al (2020) in GMD DiscussiononBenefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3.Scripts used to generate figures; Routines forsea ice initialization to LIM3. Routinesinclude 1) one python script on how to convert one-category sea ice concentration to 5-category by MPK; 2) two python scripts on how to convert one-category sea ice thickness/snow thicknessto 5-category by TT; 3) one program in Fortran 90 by FMto check if a LIM3 restart is physically consistent and adjust sea surface temperature and salinity in the ocean restart fields to changes in sea ice. The code is heavily based on limupdate.F90 from LIM3 and adopted to the ocean model restart fields from NEMO3.6.