I am running backwards dispersion models on a Linux server, using 0.25 degree GFS weather data with 1e6 particles with a simulation time of between 5 and 10 days. These simulations max out at 15GB ram memory usage per core, even if a parallelized version of HYSPLIT is used. When looking closer at the memory use profile, HYSPLIT uses around 1-2GB for the first 20-30 minutes, then there is a steep increase to plateau at 15GB for the rest of the runtime. This is again the case for both multicore and single core runs. My questions are
- Is this normal? (Feature, bug or user error?)
- Is there any way to negate the large usage of ram? I have tried to change the number of particles, played around with simulation times and the size of the output grid, but ram usage always maxes out at 15GB. The only thing that makes a difference is change the weather data used.
Large ram usage for dispersion backward models
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- ↳ 11. Pollutant transformations and deposition
- ↳ 12. Air concentration uncertainty
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- ↳ 14. Wildfire smoke and dust storms
- ↳ 15. Radioactive pollutants and dose
- ↳ 16. Volcanic eruptions with gravitational settling
- ↳ 17. Custom simulations
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- ↳ 1. Installing HYSPLIT
- ↳ 2. Testing the installation
- ↳ 3. Gridded meteorological data files
- ↳ 4. Trajectory calculations
- ↳ 5. Trajectory options
- ↳ 6. Trajectory statistics
- ↳ 7. Air concentration calculations
- ↳ 8. Configuring the CAPTEX simulation
- ↳ 9. Air concentration parameter sensitivity
- ↳ 10. Alternate display options
- ↳ 11. Pollutant transformations and deposition
- ↳ 12. Air concentration uncertainty
- ↳ 13. Source attribution methods
- ↳ 14. Wildfire smoke and dust storms
- ↳ 15. Radioactive pollutants and dose
- ↳ 16. Volcanic eruptions with gravitational settling
- ↳ 17. Custom simulations
- ↳ 2019 HYSPLIT Workshop Questions