Hauptseite > Publikationsdatenbank > Data Assimilation with the Integrated Terrestrial System Model TSMP-PDAF > print |
001 | 874423 | ||
005 | 20210130004655.0 | ||
024 | 7 | _ | |a 2128/24536 |2 Handle |
037 | _ | _ | |a FZJ-2020-01433 |
100 | 1 | _ | |a Hendricks-Franssen, Harrie-Jan |0 P:(DE-Juel1)138662 |b 0 |e Corresponding author |
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 |2 ORCID |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1583853192_2655 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
490 | 0 | _ | |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series |v 50 |
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) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
700 | 1 | _ | |a Kurtz, Wolfgang |0 P:(DE-Juel1)140349 |b 1 |
700 | 1 | _ | |a Naz, Bibi |0 P:(DE-Juel1)169794 |b 2 |
700 | 1 | _ | |a Gebler, Sebastian |0 P:(DE-Juel1)145813 |b 3 |
787 | 0 | _ | |i IsPartOf |0 FZJ-2020-01353 |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/874423/files/NIC_2020_Gebler.pdf |
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910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)138662 |
910 | 1 | _ | |a Leibniz Supercomputing Centre |0 I:(DE-HGF)0 |b 1 |6 P:(DE-Juel1)140349 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)169794 |
913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
914 | 1 | _ | |y 2020 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
920 | 1 | _ | |0 I:(DE-Juel1)NIC-20090406 |k NIC |l John von Neumann - Institut für Computing |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 1 |
980 | _ | _ | |a contrib |
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980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a contb |
980 | _ | _ | |a I:(DE-Juel1)NIC-20090406 |
980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
980 | 1 | _ | |a FullTexts |
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