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000874423 1001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b0$$eCorresponding author
000874423 1112_ $$aNIC Symposium 2020$$cJülich$$d2020-02-27 - 2020-02-28$$wGermany
000874423 245__ $$aData Assimilation with the Integrated Terrestrial System Model TSMP-PDAF
000874423 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2020
000874423 29510 $$aNIC Symposium 2020
000874423 300__ $$a301 - 310
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000874423 4900_ $$aPublication Series of the John von Neumann Institute for Computing (NIC) NIC Series$$v50
000874423 520__ $$aThis paper discusses predictions with integrated terrestrial system models, which model water and energy cycles from the deep subsurface to the upper atmosphere. Such predictions can be improved by data assimilation, making use of supercomputing. Two examples on very different scales (hillslope and continental) illustrate the strengths and remaining uncertainties of the approach.
000874423 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000874423 7001_ $$0P:(DE-Juel1)140349$$aKurtz, Wolfgang$$b1
000874423 7001_ $$0P:(DE-Juel1)169794$$aNaz, Bibi$$b2
000874423 7001_ $$0P:(DE-Juel1)145813$$aGebler, Sebastian$$b3
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