xgcm error
Did something change on the HLRN Berlin between Sep 10 and Sep 11? I had a script that worked perfectly fine and after changing nothing, xgcm has some problems:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-78-d3d23357ec67> in <module>()
----> 1 dgrid = xgcm.Grid(dbox, periodic=['X', 'Y'])
/gfs1/work/shkifmwr/_TM/software/miniconda3_20180131/envs/py3_std/lib/python3.6/site-packages/xgcm/grid.py in __init__(self, ds, check_dims, periodic, default_shifts)
503 axis_default_shifts = {}
504 self.axes[axis_name] = Axis(ds, axis_name, is_periodic,
--> 505 default_shifts=axis_default_shifts)
506
507
/gfs1/work/shkifmwr/_TM/software/miniconda3_20180131/envs/py3_std/lib/python3.6/site-packages/xgcm/grid.py in __init__(self, ds, axis_name, periodic, default_shifts)
109 if len(coords_without_axis_shift) == 0:
110 raise ValueError("Couldn't find a center coordinate for axis %s"
--> 111 % axis_name)
112 elif len(coords_without_axis_shift) > 1:
113 raise ValueError("Found two coordinates without "
ValueError: Couldn't find a center coordinate for axis Zdbox, from which I want to construct the Grid instance looks like this:
<xarray.Dataset>
Dimensions: (t: 6, x_c: 47, x_r: 47, y_c: 73, y_r: 73, z_c: 35, z_l: 36)
Coordinates:
* y_c (y_c) int64 147 148 149 150 151 152 153 154 155 156 157 158 ...
* x_c (x_c) int64 236 237 238 239 240 241 242 243 244 245 246 247 ...
llat_cc (y_c, x_c) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
llon_cc (y_c, x_c) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
* t (t) datetime64[ns] 1985-02-02T12:00:00 1985-02-07T12:00:00 ...
e1t (y_c, x_c) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e2t (y_c, x_c) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
* z_c (z_c) int64 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ...
depth_c (z_c) float64 dask.array<shape=(35,), chunksize=(23,)>
e3t (z_c, y_c, x_c) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
tmask (z_c, y_c, x_c) int8 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
* z_l (z_l) float64 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 10.5 ...
depth_l (z_l) float64 dask.array<shape=(36,), chunksize=(23,)>
e3w (z_l, y_c, x_c) float64 dask.array<shape=(36, 73, 47), chunksize=(23, 54, 47)>
box_tmask (z_c, y_c, x_c) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
* x_r (x_r) float64 236.5 237.5 238.5 239.5 240.5 241.5 242.5 243.5 ...
llat_cr (y_c, x_r) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
llon_cr (y_c, x_r) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
e1u (y_c, x_r) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e2u (y_c, x_r) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e3u (z_c, y_c, x_r) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
umask (z_c, y_c, x_r) int8 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
box_umask (z_c, y_c, x_r) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
* y_r (y_r) float64 147.5 148.5 149.5 150.5 151.5 152.5 153.5 154.5 ...
llat_rc (y_r, x_c) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
llon_rc (y_r, x_c) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
e1v (y_r, x_c) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e2v (y_r, x_c) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e3v (z_c, y_r, x_c) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
vmask (z_c, y_r, x_c) int8 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
box_vmask (z_c, y_r, x_c) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
llat_rr (y_r, x_r) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
llon_rr (y_r, x_r) float32 dask.array<shape=(73, 47), chunksize=(54, 47)>
e1f (y_r, x_r) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
e2f (y_r, x_r) float64 dask.array<shape=(73, 47), chunksize=(54, 47)>
fmask (z_c, y_r, x_r) int8 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
box_fmask (z_c, y_r, x_r) float64 dask.array<shape=(35, 73, 47), chunksize=(23, 54, 47)>
e3f (z_c, y_r, x_r) float64 6.191 6.191 6.191 6.191 6.191 6.191 ...
Data variables:
sobowlin (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
sohefldo (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
sohefldp (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
somixhgt (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
soshfldo (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
sowafldp (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
sowaflup (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
sowindsp (t, y_c, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
vosaline (t, z_c, y_c, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
votemper (t, z_c, y_c, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
vosigma0 (t, z_c, y_c, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
vosigma1 (t, z_c, y_c, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
vosigma2 (t, z_c, y_c, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
vototvor (t, z_l, y_c, x_c) float64 dask.array<shape=(6, 36, 73, 47), chunksize=(1, 23, 54, 47)>
vorelvor (t, z_l, y_c, x_c) float64 dask.array<shape=(6, 36, 73, 47), chunksize=(1, 23, 54, 47)>
vostrvor (t, z_l, y_c, x_c) float64 dask.array<shape=(6, 36, 73, 47), chunksize=(1, 23, 54, 47)>
sozotaux (t, y_c, x_r) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
vozocrtx (t, z_c, y_c, x_r) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>
sometauy (t, y_r, x_c) float64 dask.array<shape=(6, 73, 47), chunksize=(1, 54, 47)>
vomecrty (t, z_c, y_r, x_c) float64 dask.array<shape=(6, 35, 73, 47), chunksize=(1, 23, 54, 47)>Looks like everything required for a successful definition of a grid is there....
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