Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale
Abstract Unprecedented climate change and anthropogenic activities have induced increasing ecohydrological problems, motivating the development of large‐scale hydrologic modeling for solutions. Water age/quality is as important as water quantity for understanding the terrestrial water cycle. However...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2023-05-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022MS003507 |
| _version_ | 1797800151629168640 |
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| author | Chen Yang Carl Ponder Bei Wang Hoang Tran Jun Zhang Jackson Swilley Laura Condon Reed Maxwell |
| author_facet | Chen Yang Carl Ponder Bei Wang Hoang Tran Jun Zhang Jackson Swilley Laura Condon Reed Maxwell |
| author_sort | Chen Yang |
| collection | DOAJ |
| description | Abstract Unprecedented climate change and anthropogenic activities have induced increasing ecohydrological problems, motivating the development of large‐scale hydrologic modeling for solutions. Water age/quality is as important as water quantity for understanding the terrestrial water cycle. However, scientific progress in tracking water parcels at large‐scale with high spatiotemporal resolutions is far behind that in simulating water balance/quantity owing to the lack of powerful modeling tools. EcoSLIM is a particle tracking model working with ParFlow‐CLM that couples integrated surface‐subsurface hydrology with land surface processes. Here, we demonstrate a parallel framework on distributed, multi‐Graphics Processing Unit platforms with Compute Unified Device Architecture‐Aware Message Passing Interface for accelerating EcoSLIM to continental‐scale. In tests from catchment‐, to regional‐, and then to continental‐scale using 25‐million to 1.6‐billion particles, EcoSLIM shows significant speedup and excellent parallel performance. The parallel framework is portable to atmospheric and oceanic particle tracking models, where the parallelization is inadequate, and a standard parallel framework is also absent. The parallelized EcoSLIM is a promising tool to accelerate our understanding of the terrestrial water cycle and the upscaling of subsurface hydrology to Earth System Models. |
| first_indexed | 2024-03-13T04:30:47Z |
| format | Article |
| id | doaj.art-3c53200cecdb4ef098eb59161fae0dbe |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-03-13T04:30:47Z |
| publishDate | 2023-05-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-3c53200cecdb4ef098eb59161fae0dbe2023-06-19T13:40:46ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662023-05-01155n/an/a10.1029/2022MS003507Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐ScaleChen Yang0Carl Ponder1Bei Wang2Hoang Tran3Jun Zhang4Jackson Swilley5Laura Condon6Reed Maxwell7Department of Civil and Environmental Engineering Princeton University Princeton NJ USANVIDIA Developer Technology Austin TX USAResearch Computing Princeton University Princeton NJ USAAtmospheric Science & Global Change Division Pacific Northwest National Laboratory Richland WA USAKey Laboratory of VGE of Ministry of Education Nanjing Normal University Nanjing ChinaDepartment of Civil and Environmental Engineering Princeton University Princeton NJ USADepartment of Hydrology and Atmospheric Sciences The University of Arizona Tucson AZ USADepartment of Civil and Environmental Engineering Princeton University Princeton NJ USAAbstract Unprecedented climate change and anthropogenic activities have induced increasing ecohydrological problems, motivating the development of large‐scale hydrologic modeling for solutions. Water age/quality is as important as water quantity for understanding the terrestrial water cycle. However, scientific progress in tracking water parcels at large‐scale with high spatiotemporal resolutions is far behind that in simulating water balance/quantity owing to the lack of powerful modeling tools. EcoSLIM is a particle tracking model working with ParFlow‐CLM that couples integrated surface‐subsurface hydrology with land surface processes. Here, we demonstrate a parallel framework on distributed, multi‐Graphics Processing Unit platforms with Compute Unified Device Architecture‐Aware Message Passing Interface for accelerating EcoSLIM to continental‐scale. In tests from catchment‐, to regional‐, and then to continental‐scale using 25‐million to 1.6‐billion particles, EcoSLIM shows significant speedup and excellent parallel performance. The parallel framework is portable to atmospheric and oceanic particle tracking models, where the parallelization is inadequate, and a standard parallel framework is also absent. The parallelized EcoSLIM is a promising tool to accelerate our understanding of the terrestrial water cycle and the upscaling of subsurface hydrology to Earth System Models.https://doi.org/10.1029/2022MS003507EcoSLIMparticle trackingcontinental scalemulti‐GPUCUDA‐Aware MPI |
| spellingShingle | Chen Yang Carl Ponder Bei Wang Hoang Tran Jun Zhang Jackson Swilley Laura Condon Reed Maxwell Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale Journal of Advances in Modeling Earth Systems EcoSLIM particle tracking continental scale multi‐GPU CUDA‐Aware MPI |
| title | Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale |
| title_full | Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale |
| title_fullStr | Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale |
| title_full_unstemmed | Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale |
| title_short | Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale |
| title_sort | accelerating the lagrangian particle tracking in hydrologic modeling to continental scale |
| topic | EcoSLIM particle tracking continental scale multi‐GPU CUDA‐Aware MPI |
| url | https://doi.org/10.1029/2022MS003507 |
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