Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation
Session
Conveners
Theme 4 (cont.): Machine learning in data assimilation
- Arthur Vidard (Inria)
- Marcin Chrust (ECMWF)
We present an ocean smoother designed for data adjustments in real reanalysis products, by utilizing knowledge of future increments. By using increments, rather than innovations as a true Kalman smoother would use, considerable simplification is obtained. A decay time parameter which also has 3-D spatial variations is applied to the smoother increments to account for memory decay timescales in...
Going from low- to high-resolution models is an efficient way to improve the data assimilation process in three ways: it makes better use of high-resolution observations, it represents more accurately the small scale features of the dynamics and it provides a high-resolution field that can further be used as an initial condition of a forecast. Of course, the pitfall of such an approach is the...