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| 001 | 874424 | ||
| 005 | 20210130004655.0 | ||
| 024 | 7 | _ | |a 2128/24532 |2 Handle |
| 037 | _ | _ | |a FZJ-2020-01434 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Shrestha, Prabhakar |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a NIC Symposium 2020 |c Jülich |d 2020-02-27 - 2020-02-28 |w Germany |
| 245 | _ | _ | |a Uncertainty in Terrestrial Water Cycle Simulations |
| 260 | _ | _ | |a Jülich |c 2020 |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |
| 295 | 1 | 0 | |a NIC Symposium 2020 |
| 300 | _ | _ | |a 311 - 319 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 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 TerrSysMP has been exploited to advance our understanding of terrestrial water cycle, by conducting km-scale simulations from field scale to continental scale at the massively parallel supercomputing environment of the Jülich Supercomputing Centre (JSC). The numerical simulations have led to quantification of uncertainties in the simulated terrestrial water cycle in terms of grid-scale representation of heterogeneity and bio-geophysical parameterisations. Ensemble simulations are thus prerequisite to quantify the uncertainty in the terrestrial water cycle, which then could also be utilised for data assimilation to improve prediction. |
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| 700 | 1 | _ | |a Sulis, Mauro |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Poll, Stefan |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Hoar, Tim |0 P:(DE-HGF)0 |b 3 |
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| 700 | 1 | _ | |a Simmer, Clemens |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Kollett, Stefan |0 P:(DE-HGF)0 |b 6 |
| 787 | 0 | _ | |i IsPartOf |0 FZJ-2020-01353 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/874424/files/NIC_2020_Kollett.pdf |y OpenAccess |
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