id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1052918815,I_kwDOAMm_X84-wkQf,5987,Plotting interpolated data causes artefacts,33153877,closed,1,,,8,2021-11-14T11:50:13Z,2021-11-19T22:35:09Z,2021-11-19T22:35:09Z,NONE,,,,"<!-- Please include a self-contained copy-pastable example that generates the issue if possible.

Please be concise with code posted. See guidelines below on how to provide a good bug report:

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- Minimal Complete Verifiable Examples: https://stackoverflow.com/help/mcve

Bug reports that follow these guidelines are easier to diagnose, and so are often handled much more quickly.
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**What happened**:

I'm trying to do some analysis of CMIP6 model data, and I want to plot multi-model ensembles. In order to do that I need to regrid all of the models to a common grid. Whenever I try to plot data from a regridded model there's a white line along the central longitude and the poles. I use the PlateCarree projection and it doesn't matter what I choose as the central longitude; there's always a white line there.

The code I've included below produces 4 plots. The first one is of data that hasn't been interpolated and there's no white line:

![mpi_ok](https://user-images.githubusercontent.com/33153877/141679217-9eb74a1e-b4da-458b-8e35-313066a2ab15.png)

The next three are with interpolated data and with different central longitudes. They all have a white line at the central longitude.

**central_longitude=0**

![mpi_bad_1](https://user-images.githubusercontent.com/33153877/141679424-b976cffc-5601-453d-a44a-1edee6741a25.png)

**central_longitude=33**

![mpi_bad_2](https://user-images.githubusercontent.com/33153877/141679434-05f1b1f5-cfec-4d27-a293-9f582ee8e098.png)

**central_longitude=164**

![mpi_bad_3](https://user-images.githubusercontent.com/33153877/141679443-9673d8f1-d018-44dc-8975-18581f077f3d.png)




**What you expected to happen**:

No plot artefacts.

**Minimal Complete Verifiable Example**:

```python
import xarray as xr
import matplotlib.pyplot as plt
import cartopy.crs as ccrs

cesm2_waccm = xr.open_dataset('pr_day_CESM2-WACCM_ssp245_r2i1p1f1_gn_20750101-20841231.nc')
mpi = xr.open_dataset('pr_day_MPI-ESM1-2-LR_ssp245_r1i1p1f1_gn_20750101-20941231.nc')

cesm2_waccm_subset = cesm2_waccm.sel(time=slice('2075-01-01', '2075-12-31')).mean(dim='time')
mpi_subset = mpi.sel(time=slice('2075-01-01', '2075-12-31')).mean(dim='time')

map_proj = ccrs.PlateCarree()

# This works.
plot = mpi_subset.pr.plot(subplot_kws={'projection': map_proj})
plot.axes.coastlines()
plt.show()

mpi_interp = mpi_subset.interp(lat=cesm2_waccm_subset['lat'], lon=cesm2_waccm_subset['lon'])

# A randomly chosen set of central longitudes for plots.
longitudes = [0, 33, 164]

for lon in longitudes:
   map_proj = ccrs.PlateCarree(central_longitude=lon)

   # Has a white line at the central longitude.
   plot = mpi_interp.pr.plot(subplot_kws={'projection': map_proj})
   plot.axes.coastlines()
   plt.show()

```

**Anything else we need to know?**:

Here's the data I used for plotting:

https://climate.uiogeo-apps.sigma2.no/ESGF/CMIP6/ScenarioMIP/NCAR/CESM2-WACCM/ssp245/r2i1p1f1/day/pr/gn/v20200224/pr_day_CESM2-WACCM_ssp245_r2i1p1f1_gn_20750101-20841231.nc

https://climate.uiogeo-apps.sigma2.no/ESGF/CMIP6/ScenarioMIP/MPI-M/MPI-ESM1-2-LR/ssp245/r1i1p1f1/day/pr/gn/v20190710/pr_day_MPI-ESM1-2-LR_ssp245_r1i1p1f1_gn_20750101-20941231.nc

**Environment**:

<details><summary>Output of <tt>xr.show_versions()</tt></summary>

<!-- Paste the output here xr.show_versions() here -->

```
In [3]: xr.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 19:23:11) 
[GCC 9.4.0]
python-bits: 64
OS: Linux
OS-release: 5.14.16-301.fc35.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: ('en_GB', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: None

xarray: 0.20.1
pandas: 1.3.4
numpy: 1.21.4
scipy: 1.7.2
netCDF4: None
pydap: None
h5netcdf: 0.11.0
h5py: 3.4.0
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.3.2
cartopy: 0.20.1
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
setuptools: 58.5.3
pip: 21.3.1
conda: None
pytest: None
IPython: 7.29.0
sphinx: None
```

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