This title appears in the Scientific Report :
2020
Please use the identifier:
http://hdl.handle.net/2128/24536 in citations.
Data Assimilation with the Integrated Terrestrial System Model TSMP-PDAF
Data Assimilation with the Integrated Terrestrial System Model TSMP-PDAF
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...
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Personal Name(s): | Hendricks-Franssen, Harrie-Jan (Corresponding author) |
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Kurtz, Wolfgang / Naz, Bibi / Gebler, Sebastian | |
Contributing Institute: |
John von Neumann - Institut für Computing; NIC Agrosphäre; IBG-3 |
Published in: |
NIC Symposium 2020 |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
2020
|
Physical Description: |
301 - 310 |
Conference: | NIC Symposium 2020, Jülich (Germany), 2020-02-27 - 2020-02-28 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Terrestrial Systems: From Observation to Prediction |
Series Title: |
Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series
50 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
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. |