001     874423
005     20210130004655.0
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037 _ _ |a FZJ-2020-01433
100 1 _ |a Hendricks-Franssen, Harrie-Jan
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111 2 _ |a NIC Symposium 2020
|c Jülich
|d 2020-02-27 - 2020-02-28
|w Germany
245 _ _ |a Data Assimilation with the Integrated Terrestrial System Model TSMP-PDAF
260 _ _ |a Jülich
|c 2020
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
295 1 0 |a NIC Symposium 2020
300 _ _ |a 301 - 310
336 7 _ |a CONFERENCE_PAPER
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490 0 _ |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series
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520 _ _ |a This 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.
536 _ _ |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
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700 1 _ |a Kurtz, Wolfgang
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700 1 _ |a Naz, Bibi
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700 1 _ |a Gebler, Sebastian
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856 4 _ |y OpenAccess
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910 1 _ |a Leibniz Supercomputing Centre
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915 _ _ |a Creative Commons Attribution CC BY 4.0
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