"3) Create 3D initial conditions from input_sounding etc.:\n",
"`id = run_ideal(depends_on=id)`\n",
"\n",
"#### Run free forecast\n",
"Let's say you want to run a free forecast starting at 6z, which you want to use as prior for an assimilation at 9z. Then you need can use the above defined 3 steps to create initial conditions.\n",
"Then you can run an ensemble forecast using:\n",
"```\n",
"id = run_ENS(begin=begin, # start integration from here\n",
"After this, the wrfrst files are updated with assimilation increments (filter_restart) and copied to the WRF's run directories so you can continue to run the ENS after assimilation using\n",
"\n",
"```\n",
"id = run_ENS(begin=time, # start integration from here\n",
" end=time + timedelta_integrate, # integrate until here\n",
"where times are `dt.datetime`; `timedelta` variables are `dt.timedelta`.\n",
"\n",
"\n",
"#### Job scheduling status\n",
"The script submits jobs into the SLURM queue with dependencies so that SLURM starts the jobs itself as soon as resources are available. Most jobs need only a few cores, but model integration is done across many nodes:\n",
"```\n",
"$ squeue -u `whoami` --sort=i\n",
" JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n",
3) Create 3D initial conditions from input_sounding etc.:
`id = run_ideal(depends_on=id)`
#### Run free forecast
Let's say you want to run a free forecast starting at 6z, which you want to use as prior for an assimilation at 9z. Then you need can use the above defined 3 steps to create initial conditions.
Then you can run an ensemble forecast using:
```
id = run_ENS(begin=begin, # start integration from here
2. To update the model state with assimilation increments, you need to update the WRF restart files by running
`id = update_IC_from_DA(time, depends_on=id)`
After this, the wrfrst files are updated with assimilation increments (filter_restart) and copied to the WRF's run directories so you can continue to run the ENS after assimilation using
```
id = run_ENS(begin=time, # start integration from here
end=time + timedelta_integrate, # integrate until here
where times are `dt.datetime`; `timedelta` variables are `dt.timedelta`.
#### Job scheduling status
The script submits jobs into the SLURM queue with dependencies so that SLURM starts the jobs itself as soon as resources are available. Most jobs need only a few cores, but model integration is done across many nodes:
```
$ squeue -u `whoami` --sort=i
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
3) Create 3D initial conditions from input_sounding etc.:
`id = run_ideal(depends_on=id)`
### Run free forecast
Let's say you want to run a free forecast starting at 6z, which you want to use as prior for an assimilation at 9z. Then you need can use the above defined 3 steps to create initial conditions.
Then you can run an ensemble forecast using:
```
id = run_ENS(begin=begin, # start integration from here
2. To update the model state with assimilation increments, you need to update the WRF restart files by running
`id = update_IC_from_DA(time, depends_on=id)`
After this, the wrfrst files are updated with assimilation increments (filter_restart) and copied to the WRF's run directories so you can continue to run the ENS after assimilation using
```
id = run_ENS(begin=time, # start integration from here
end=time + timedelta_integrate, # integrate until here
`scheduler.py` submits jobs into the SLURM queue with dependencies, so that SLURM starts the jobs itself as soon as resources are available. Most jobs need only one node, but model integration is done in a SLURM job array across e.g. 10 nodes:
```
$ squeue -u `whoami` --sort=i
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
