Second semi-annual report for IRTG D8: Parallel simulation of variably saturated flow with adaptive mesh refinement
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Identification
| Title: | Main Title: Second semi-annual report for IRTG D8: Parallel simulation of variably saturated flow with adaptive mesh refinement |
| Description: | Abstract: One goal of this project is to enable parallel adaptive mesh refinement (AMR) in ParFlow by coupling it with the parallel AMR library p4est. We have made further modifications to transfer the management of ParFlow’s computational grid to p4est. We currently study and modify the structures enabling parallelism in ParFlow with the objective to identify and drop possibly restrictive assumptions on the distribution of the mesh across processors. |
Responsible Party
| Creator: | Jose A. Fonseca (Author) |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2015 |
Topic
| TR32 Topic: | Other |
| Related Subproject: | D8 |
| Subject: | Keyword: PhD Report |
File Details
| Filename: | jose_fonseca_report2.pdf |
| Data Type: | Text - Text |
| File Size: | 236 KB |
| Dates: | Created: 15.10.2015 Available: 17.10.2015 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Report
| Report Date: | 14th of April, 2015 |
| Report Type: | PhD Report |
| Report City: | Bonn |
| Report Institution: | University of Bonn, Institute for Numerical Simulation |
| Number of Pages: | 6 (1 - 6) |
Metadata Details
| Metadata Creator: | Jose Fonseca |
| Metadata Created: | 17.10.2015 |
| Metadata Last Updated: | 17.10.2015 |
| Subproject: | D8 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 787 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 12 |
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