Proof-of-concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources

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Title:Main Title: Proof-of-concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources
Description:Abstract: We present the results of a unique, parallel scaling study using a 3‐D variably saturated flow problem including land surface processes that ranges from a single processor to a maximum number of 16,384 processors. In the applied finite difference framework and for a fixed problem size per processor, this results in a maximum number of approximately 8 × 109 grid cells (unknowns). Detailed timing information shows that the applied simulation platform ParFlow exhibits excellent parallel efficiency. This study demonstrates that regional scale hydrologic simulations on the order of 103 km2 are feasible at hydrologic resolution (∼100–101 m laterally, 10−2–10−1 m vertically) with reasonable computation times, which has been previously assumed to be an intractable computational problem.
Identifier:10.1029/2009WR008730 (DOI)
Responsible Party
Creators:Stefan Kollet (Author), Reed M. Maxwell (Author), Carol S. Woodward (Author), Steve Smith (Author), Jan Vanderborght (Author), Harry Vereecken (Author), Clemens Simmer (Author)
Publisher:American Geophysical Union
Publication Year:2013
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TR32 Topic:Other
Related Subproject:D7
Subjects:Keywords: Hydrological Modelling, Numerical Simulation
File Details
Filename:2010_Kollet_WaterResourRes.pdf
Data Type:Text - Article
Size:7 Pages
File Size:582 KB
Dates:Accepted: 15.02.2010
Issued: 20.04.2010
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Water Ressorces Research
Volume:46
Number of Pages:7 (1 - 7)
Metadata Details
Metadata Creator:Stefan Kollet
Metadata Created:03.12.2013
Metadata Last Updated:03.12.2013
Subproject:D7
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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