23 ocean-data-assimilation positions

PhD position (f_m_x) in Ocean Data Assimilation of Remote Sensing Data

and by applying Kalman-Filter based data assimilation techniques to satellite data. Your responsibilities: Numerical and statistical modelling of large scale Earth systems, e.g., ocean, ionosphere

Postdoctoral Associate

Meteorological Laboratory (AOML). The incumbent is expected to: (1) Contribute to improvements in the data assimilation system configuration; (2) Perform ocean and coupled Observing System Experiments (OSEs

Research Physical Scientist (Coupled Model Developer)

The National Oceanic and Atmospheric Administration’s (NOAA) Physical Sciences Laboratory  (PSL) has an opening for a Research Physical Scientist (Coupled Model Developer) in the Modeling and Data

Scientist on Coupled Satellite Data Assimilation (CRISTAL)

on thickness of sea ice and the snow that covers it. The aim will be to use this information in an optimal way in our coupled ocean-atmosphere data assimilation system and to improve our global Numerical Weather

Scientist on Coupled Satellite Data Assimilation (Sentinel-1)

exploitation of satellite data in ECMWF’s coupled global forecasting system. The main role will be to develop and adapt the current ocean wave data assimilation system to enable both the monitoring and

Scientist on Coupled Satellite Data Assimilation (CIMR)

machine learning and physical methods. Initially, observations from existing instruments with similar characteristics will be employed to develop ways to assimilate the sea-ice and snow information from

Scientist on Coupled Satellite Data Assimilation (LSTM)

The successful candidate will join the Coupled Assimilation Team, dedicated to coupled data assimilation methodology developments as well as land and ocean data assimilation developments. One of the key focus

Data Assimilation Scientist - 128082

). We seek a motivated, interdisciplinary staff researcher with a background in data assimilation or numerical weather prediction or applied mathematical and computational science to develop novel data

Postdoctoral Research Associate - Interfacing machine learning with climate models

machine learning. This part of the research at Princeton University/GFDL will involve working with the SPEAR ocean data assimilation system and the MOM6 ocean circulation model. The prognostic

Neural Regional Ocean Models (NROM)

of the ensemble prediction of the surrogate model. The latter is very important for instance in data assimilation. Development and training of hybrid Oceans Models that are based on simple physical cores Beyond