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Adapt the calculations of velocity potential and streamfunction in UPP #902
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PPT showing VPOT and STRM at 200, 500, 1000 mb as output by UPP with CFS data and SFS data. |
PPT comparing CFS operational products against GFSv16 model output data processed with UPP. |
On 08/06/2024, Wen organized a meeting to discuss generating stream function and velocity potential as SFS products(here). Huiya, Jesse, George and Karina attended the meeting. Based on the runtime issue in Karina’s UPP PR #951, Two approaches were considered for moving forward. Option 1), Karina will continue to optimize code in her UPP PR #951 to reduce runtime; Option 2), Karina will upgrade the program “cfs_genpsiandchi.fd” in the CFS v2.3 package with GRIB2 I/O and transition to the global-workflow repository. The generation of stream function and velocity potential will be configured as part of the atmospheric product generation process in the SFS workflow via the global-workflow. The new process will ingest pgb datasets in 0.5/1.0 degree resolution, generate stream function and velocity fields on isobaric levels, and then append to them the pgb datasets. Krina thought the Option 2 would be feasible for her. George and Jesse are willing to provide resource to support Karina. |
Quorating from Huiya's email on 08/16/2024:
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The utility process was rejected by EIB, so we will work on option 3: computing STRM and VPOT using discrete numerical analysis. |
@KarinaAsmar-NOAA Thanks for the heads-up. |
@WenMeng-NOAA We are still working on option 3, but wanted to check with you regarding runtimes. The numerical analysis requires integration and the respective boundary conditions, so we still need to collect the delta values at all processes, compute the integration numerically at process 0, and then scatter to all processes (similar to how we were doing option 1). I am still working on setting up the numerical integration properly, but checking runtimes with the collect/scatter process: SFS data with 4 threads: 64 sec Are these runtimes acceptable for implementing into UPP? |
@KarinaAsmar-NOAA How many MPI tasks were assigned for processing GFS? Currently the runtime of processing GFS C768 with 96 tasks is within 2 minutes. |
@WenMeng-NOAA Do you mean the -n flag for mpiexec? If so, the runtimes above used 48 tasks. Running GFS with 96 tasks and 4 threads takes ~6 minutes |
@KarinaAsmar-NOAA I don't think the 6-minute runtime of gfs C768 processing with 96 tasks is acceptable. That means your new algorithm for calculating velocity potential will cost 4 minutes? Currently the MDL2P is 7 seconds. Please work on optimizing MPI code in your new subroutine. |
@KarinaAsmar-NOAA For your reference, here is GFS C768 testing information on WCOSS2:
You may find runtime information from runtime log of the UPP standalone test. |
Thank you @WenMeng-NOAA . To get the runtime, I am submitting a job to run the UPP standalone test, and then I get the start time and end times of the job from the log. Is this the proper way to get the runtime you need? |
@KarinaAsmar-NOAA The sample runtime log for gfs can be found at /u/wen.meng/ptmp/karina/outpost_master_2019083006. |
Thanks! Using the outpost* log of the latest standalone test (more debugging is still needed) the current runtime with 48 tasks is 3 minutes and 50 seconds. |
@WenMeng-NOAA We have reduced the runtimes (still using the spectral calculation from CFS) to the following: GFS 120 tasks
CPC had requested STRM/VPOT only at 200hPa for SFS. Are these 200mb-only runtimes acceptable for implementing into UPP? |
@KarinaAsmar-NOAA @JesseMeng-NOAA Can you submit a PR with the new algorithms as a draft so we can review the changes? |
@WenMeng-NOAA Yes, we'll submit a PR. |
STRM_VPOT_Poisson_Results_v3.pptx |
CPC has requested 200-hPa velocity potential and streamfunction to be included in the SFS product list. Currently, UPP lacks the capability to output them. Huiya has located the source code from the operational CFS package, and Karina will work on incorporating these algorithms into UPP.
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