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). 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
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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
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to analyse land surface temperature variables in a coupled land-atmosphere data assimilation system, using a combination of machine learning and physical methods. Initially, observations from existing
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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
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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
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the exchange between disciplines, cultures and generations? We are looking for a/an University assistant (post-doc) in Numerical Weather Prediction and Data Assimilation (3+3 years) 53 Faculty of Earth Sciences
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Assimilation The doctoral student's scientific work in the project The processing and assimilation of vast amounts of sensor data in production environments poses significant challenges, especially when it comes
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technology. Main research of the Geodesy research group is currently focused on water monitoring from space, atmospheric remote sensing, geodetic surveying, and data assimilation into Earth system models
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
: Reference Number 9222 Section 1.3 “Earth System Modelling” at GFZ searches for a PhD candidate to work in the GREMLIN project which jointly assimilates electromagnetic and gravimetric satellite data
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magnitude. The PhD will be mostly located at TU Delft, and operate both in the InSAR research team as well as in the data assimilation team of TU Delft. In this collaborative project, the University