Target & priorities

• Provide validated reanalyses and forecasts for the operational oceanography and climate community with a focus on the Arctic and the Nordic Seas. E.g., a 30-years Arctic ice-ocean-ecosystem reanalysis and a global climate reanalysis (1850-present), both including residual uncertainty estimates.

• Provide a data assimilation framework able to take up new models and observations at the frontiers of technology. E.g., assimilation in the Lagrangian neXtSIM model, coupled data assimilation in NorCPM, observations with unconventional error characteristics such as satellite-borne sea ice thickness.

• Favour the emergence of a new ocean modeling group at NERSC able to take up the latest ocean, sea ice and ecosystem model research into our flagship integrated systems. E.g., integration of neXtSIM and ECOSMO into TOPAZ.

• Extend the theory of data assimilation for non-linear chaotic systems (assimilation in the unstable subspace, improved stochastic models). E.g., proposing new algorithms improving the performance of the Ensemble Kalman Filter.

• Pursue innovative applications of data assimilation with high societal impacts.

Open Source softwares:

• The EnKF in Fortran, as used operationally in TOPAZ: https://github.com/nansencenter/enkf-topaz
• The Python education package DAPPER: https://github.com/nansencenter/DAPPER

Associated group members (in other groups at NERSC):

• François Counillon
• Yiguo Wang
• Jiping Xie
• Tsuyoshi Wakamatsu
• Tarkeshwar Singh

The larger Data Assimilation community in Bergen, Norway:

• See https://www.data-assimilation.no/