Skip to content

Commit 4df78f5

Browse files
reint-fischerreint-fischer
authored andcommitted
differentiate output zarr store names
1 parent f9b85ef commit 4df78f5

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

docs/getting_started/tutorial_quickstart.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -89,7 +89,7 @@ kernels = [parcels.kernels.AdvectionEE]
8989
Before starting the simulation, we must define where and how frequent we want to write the output of our simulation. We can define this in a `ParticleFile` object:
9090

9191
```{code-cell}
92-
output_file = parcels.ParticleFile("output.zarr", outputdt=np.timedelta64(1, "h"))
92+
output_file = parcels.ParticleFile("output-quickstart.zarr", outputdt=np.timedelta64(1, "h"))
9393
```
9494

9595
The output files are in `.zarr` [format](https://zarr.readthedocs.io/en/stable/), which can be read by `xarray`. See the [Parcels output tutorial](./tutorial_output.ipynb) for more information on the zarr format. We want to choose the `outputdt` argument so that it captures the smallest timescales of our interest.
@@ -120,7 +120,7 @@ pset.execute(
120120
To start analyzing the trajectories computed by **Parcels**, we can open the `ParticleFile` using `xarray`:
121121

122122
```{code-cell}
123-
ds_particles = xr.open_zarr("output.zarr")
123+
ds_particles = xr.open_zarr("output-quickstart.zarr")
124124
ds_particles
125125
```
126126

0 commit comments

Comments
 (0)