staged-recipes
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Published
20 hours ago •
pangeo-forge
pangeo-forge
Draft for INALT60 recipe
@roxyboy, the surf_ocean data has two frequencies: 4h and 5d.
My understanding is that each of these frequencies should be its own dataset.
Did I organize these correctly?
Expand for dataset structure 👇
for r in list(recipes):
print(r)
d = dict(recipes[r].file_pattern.items())
for k, v in zip(d.keys(),d.values()):
print(k, v[87:])
print()
surf_ocean_4h
(0, 0) /INALT60_4h_surface_u_02.nc
(0, 1) /INALT60_4h_surface_u_03.nc
(0, 2) /INALT60_4h_surface_u_04.nc
(0, 3) /INALT60_4h_surface_u_08.nc
(0, 4) /INALT60_4h_surface_u_09.nc
(0, 5) /INALT60_4h_surface_u_10.nc
(1, 0) /INALT60_4h_surface_v_02.nc
(1, 1) /INALT60_4h_surface_v_03.nc
(1, 2) /INALT60_4h_surface_v_04.nc
(1, 3) /INALT60_4h_surface_v_08.nc
(1, 4) /INALT60_4h_surface_v_09.nc
(1, 5) /INALT60_4h_surface_v_10.nc
(2, 0) /INALT60_4h_surface_hts_02.nc
(2, 1) /INALT60_4h_surface_hts_03.nc
(2, 2) /INALT60_4h_surface_hts_04.nc
(2, 3) /INALT60_4h_surface_hts_08.nc
(2, 4) /INALT60_4h_surface_hts_09.nc
(2, 5) /INALT60_4h_surface_hts_10.nc
surf_ocean_5d
(0, 0) /INALT60_5d_surface_u_02.nc
(0, 1) /INALT60_5d_surface_u_03.nc
(0, 2) /INALT60_5d_surface_u_04.nc
(0, 3) /INALT60_5d_surface_u_08.nc
(0, 4) /INALT60_5d_surface_u_09.nc
(0, 5) /INALT60_5d_surface_u_10.nc
(1, 0) /INALT60_5d_surface_v_02.nc
(1, 1) /INALT60_5d_surface_v_03.nc
(1, 2) /INALT60_5d_surface_v_04.nc
(1, 3) /INALT60_5d_surface_v_08.nc
(1, 4) /INALT60_5d_surface_v_09.nc
(1, 5) /INALT60_5d_surface_v_10.nc
(2, 0) /INALT60_5d_surface_hts_02.nc
(2, 1) /INALT60_5d_surface_hts_03.nc
(2, 2) /INALT60_5d_surface_hts_04.nc
(2, 3) /INALT60_5d_surface_hts_08.nc
(2, 4) /INALT60_5d_surface_hts_09.nc
(2, 5) /INALT60_5d_surface_hts_10.nc
surf_flux_1d
(0, 0) /INALT60_1d_surface_flux_02.nc
(0, 1) /INALT60_1d_surface_flux_03.nc
(0, 2) /INALT60_1d_surface_flux_04.nc
(0, 3) /INALT60_1d_surface_flux_08.nc
(0, 4) /INALT60_1d_surface_flux_09.nc
(0, 5) /INALT60_1d_surface_flux_10.nc
(1, 0) /INALT60_1d_surface_taux_02.nc
(1, 1) /INALT60_1d_surface_taux_03.nc
(1, 2) /INALT60_1d_surface_taux_04.nc
(1, 3) /INALT60_1d_surface_taux_08.nc
(1, 4) /INALT60_1d_surface_taux_09.nc
(1, 5) /INALT60_1d_surface_taux_10.nc
(2, 0) /INALT60_1d_surface_tauy_02.nc
(2, 1) /INALT60_1d_surface_tauy_03.nc
(2, 2) /INALT60_1d_surface_tauy_04.nc
(2, 3) /INALT60_1d_surface_tauy_08.nc
(2, 4) /INALT60_1d_surface_tauy_09.nc
(2, 5) /INALT60_1d_surface_tauy_10.nc
int_ocean_1d
(0, 0) /INALT60_1d_upper1000m_ts_02.nc
(0, 1) /INALT60_1d_upper1000m_ts_03.nc
(0, 2) /INALT60_1d_upper1000m_ts_04.nc
(0, 3) /INALT60_1d_upper1000m_ts_08.nc
(0, 4) /INALT60_1d_upper1000m_ts_09.nc
(0, 5) /INALT60_1d_upper1000m_ts_10.nc
(1, 0) /INALT60_1d_upper1000m_u_02.nc
(1, 1) /INALT60_1d_upper1000m_u_03.nc
(1, 2) /INALT60_1d_upper1000m_u_04.nc
(1, 3) /INALT60_1d_upper1000m_u_08.nc
(1, 4) /INALT60_1d_upper1000m_u_09.nc
(1, 5) /INALT60_1d_upper1000m_u_10.nc
(2, 0) /INALT60_1d_upper1000m_v_02.nc
(2, 1) /INALT60_1d_upper1000m_v_03.nc
(2, 2) /INALT60_1d_upper1000m_v_04.nc
(2, 3) /INALT60_1d_upper1000m_v_08.nc
(2, 4) /INALT60_1d_upper1000m_v_09.nc
(2, 5) /INALT60_1d_upper1000m_v_10.nc
(3, 0) /INALT60_1d_upper1000m_w_02.nc
(3, 1) /INALT60_1d_upper1000m_w_03.nc
(3, 2) /INALT60_1d_upper1000m_w_04.nc
(3, 3) /INALT60_1d_upper1000m_w_08.nc
(3, 4) /INALT60_1d_upper1000m_w_09.nc
(3, 5) /INALT60_1d_upper1000m_w_10.nc
grid
(0,) /INALT60_mesh_mask.nc
@roxyboy, the
surf_oceandata has two frequencies:4hand5d.My understanding is that each of these frequencies should be its own dataset.
Did I organize these correctly?
Yes, it looks great! :)
@roxyboy, the surface datasets for INALT60 are now on OSN. The following will return a dictionary containing all three:
import s3fs
import xarray as xr
endpoint_url = 'https://ncsa.osn.xsede.org'
fs_osn = s3fs.S3FileSystem(anon=True, client_kwargs={'endpoint_url': endpoint_url},)
url = "s3://Pangeo/pangeo-forge/swot_adac/INALT60/"
inalt60_datasets = {
ds: xr.open_zarr(fs_osn.get_mapper(f"{url}{ds}.zarr"), consolidated=True)
for ds in ["surf_ocean_4h", "surf_ocean_5d", "surf_flux_1d"]
}
inalt60_datasets
As we discussed above, these were the only swot-adac recipes which required variable merging, so I'll be interested to know if the zarr stores were built correctly.
@cisaacstern Thanks again for working on this but it seems that surf_ocean_4h and surf_ocean_5d only includes the zonal velocity (u) as a variable while it should also have v and hts...
In addition to the missing variables: these also seem to have the same problem as noted in https://github.com/pangeo-forge/staged-recipes/pull/29#issuecomment-848792605: no actual data! For example
fs_osn.ls("s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr/vozocrtx")
['Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr/vozocrtx/.zarray',
'Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr/vozocrtx/.zattrs']
Another way to see this is via the Zarr "Chunks initialized" statistics
import zarr
group = zarr.open_consolidated(fs_osn.get_mapper("s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr"))
group['vozocrtx'].info
Name : /vozocrtx
Type : zarr.core.Array
Data type : float32
Shape : (1020, 738, 509)
Chunk shape : (15, 738, 509)
Order : C
Read-only : False
Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
Store type : zarr.storage.ConsolidatedMetadataStore
Chunk store type : fsspec.mapping.FSMap
No. bytes : 1532619360 (1.4G)
Chunks initialized : 0/68
We can see that none of the chunks have been initialized.
@cisaacstern let's sync up at some point today to dig into what might be going wrong.
Noting that based on my conversation with Ryan, this issue appears to be a variant of the one described in https://github.com/pangeo-forge/staged-recipes/pull/29#issuecomment-849149259.
IIUC, both issues arise when an attempt is made to open an empty zarr store. In this recipe, that happens on this call to ds.to_zarr. The mode="a" kwarg passed to this function designates it as an "append" operation, and the error seems to arise when xarray's zarr backend attempts to open the store to which the data should be appended. Full details (fyi: quite long!) here:
Logs + Traceback
RUNNING surf_ocean_4h
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 0)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 0)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 0): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 1)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_03.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_03.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 1)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 1): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_03.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_03.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-03-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 2)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_04.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_04.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 2)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 2): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_04.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_04.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-04-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 3)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_08.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_08.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 3)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 3): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_08.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_08.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-08-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 4)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_09.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_09.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 4)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 4): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_09.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_09.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-09-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(0, 5)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_10.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_10.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(0, 5)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 5): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_10.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_10.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-10-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 0)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 0)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 0): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 1)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_03.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_03.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 1)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 1): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_03.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_03.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-03-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 2)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_04.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_04.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 2)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 2): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_04.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_04.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-04-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 3)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_08.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_08.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 3)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 3): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_08.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_08.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-08-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 4)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_09.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_09.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 4)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 4): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_09.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_09.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-09-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(1, 5)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_10.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_10.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(1, 5)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 5): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_10.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_10.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-10-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 0)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_02.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_02.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 0)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 0): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_02.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_02.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 1)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_03.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_03.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 1)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 1): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_03.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_03.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-03-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 2)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_04.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_04.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 2)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 2): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_04.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_04.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-04-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 3)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_08.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_08.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 3)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 3): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_08.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_08.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-08-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 4)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_09.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_09.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 4)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 4): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_09.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_09.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1080, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-09-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching input '(2, 5)'
pangeo_forge_recipes.storage - INFO - Caching file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_10.nc'
pangeo_forge_recipes.storage - INFO - Coping remote file 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_10.nc' to cache
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Caching metadata for input '(2, 5)'
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (2, 5): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_10.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_hts_10.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1116, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-10-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
sossheig (time_counter, y, x) float32 ...
votemper (time_counter, y, x) float32 ...
vosaline (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean T grid variables in INALT60 region
title: ocean T grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:28:56 CEST
history: Tue Apr 10 18:24:54 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Creating a new dataset in target
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening inputs for chunk (0, 0)
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (0, 0): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_u_02.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Combining inputs for chunk '(0, 0)'
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 dask.array<chunksize=(1020, 738, 509), meta=np.ndarray>
nav_lon (x) float32 dask.array<chunksize=(509,), meta=np.ndarray>
nav_lat (y) float32 dask.array<chunksize=(738,), meta=np.ndarray>
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable vozocrtx encoding chunks to (15, 738, 509)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable nav_lon encoding chunks to (509,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable nav_lat encoding chunks to (738,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable time_counter encoding chunks to (15,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable depth encoding chunks to ()
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Storing dataset in s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 1.571
Dimensions without coordinates: x, y
Data variables:
vozocrtx (time_counter, y, x) float32 dask.array<chunksize=(1020, 738, 509), meta=np.ndarray>
nav_lon (x) float32 11.52 11.54 11.56 11.57 ... 19.96 19.98 19.99
nav_lat (y) float32 -40.49 -40.47 -40.46 ... -30.54 -30.53 -30.51
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean U grid variables in INALT60 region
title: ocean U grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:04 CEST
history: Tue Apr 10 18:14:46 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening inputs for chunk (1, 0)
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Opening input with Xarray (1, 0): 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc'
pangeo_forge_recipes.storage - INFO - Opening 'https://data.geomar.de/downloads/20.500.12085/0e95d316-f1ba-47e3-b667-fc800afafe22/data/INALT60_4h_surface_v_02.nc' from cache
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 ...
nav_lon (x) float32 ...
nav_lat (y) float32 ...
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Combining inputs for chunk '(1, 0)'
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 ...
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 dask.array<chunksize=(1020, 738, 509), meta=np.ndarray>
nav_lon (x) float32 dask.array<chunksize=(509,), meta=np.ndarray>
nav_lat (y) float32 dask.array<chunksize=(738,), meta=np.ndarray>
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable vomecrty encoding chunks to (15, 738, 509)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable nav_lon encoding chunks to (509,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable nav_lat encoding chunks to (738,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable time_counter encoding chunks to (15,)
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - Setting variable depth encoding chunks to ()
pangeo_forge_recipes.recipes.xarray_zarr - INFO - Storing dataset in s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr
pangeo_forge_recipes.recipes.xarray_zarr - DEBUG - <xarray.Dataset>
Dimensions: (time_counter: 1020, x: 509, y: 738)
Coordinates:
* time_counter (time_counter) datetime64[ns] 2012-02-01T02:00:00 ... 2017-...
depth float64 1.571
Dimensions without coordinates: x, y
Data variables:
vomecrty (time_counter, y, x) float32 dask.array<chunksize=(1020, 738, 509), meta=np.ndarray>
nav_lon (x) float32 11.52 11.53 11.55 11.57 ... 19.95 19.97 19.98
nav_lat (y) float32 -40.48 -40.47 -40.46 ... -30.53 -30.52 -30.51
Attributes:
name: 2_INALT60.L120-KRS0020_4h_20100101_20100105
description: ocean V grid variables in INALT60 region
title: ocean V grid variables in INALT60 region
Conventions: CF-1.5
production: An IPSL model
timeStamp: 2018-Apr-10 14:29:08 CEST
history: Tue Apr 10 18:14:43 2018: ncrcat /gfs2/work/sh...
NCO: 4.4.8
nco_openmp_thread_number: 1
---------------------------------------------------------------------------
GroupNotFoundError Traceback (most recent call last)
<ipython-input-10-bccf9db82171> in <module>
2 try:
----> 3 r.open_target()
4 print(f"found {recipe_key}")
/srv/conda/envs/notebook/lib/python3.8/site-packages/pangeo_forge_recipes/recipes/xarray_zarr.py in open_target(self)
398 target_mapper = self.target.get_mapper()
--> 399 return xr.open_zarr(target_mapper)
400
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_zarr(store, group, synchronizer, chunks, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, consolidated, overwrite_encoded_chunks, chunk_store, storage_options, decode_timedelta, use_cftime, **kwargs)
686
--> 687 ds = open_dataset(
688 filename_or_obj=store,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)
495 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None)
--> 496 backend_ds = backend.open_dataset(
497 filename_or_obj,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, synchronizer, consolidated, consolidate_on_close, chunk_store, storage_options, lock)
733 filename_or_obj = _normalize_path(filename_or_obj)
--> 734 store = ZarrStore.open_group(
735 filename_or_obj,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_group(cls, store, mode, synchronizer, group, consolidated, consolidate_on_close, chunk_store, storage_options, append_dim, write_region, safe_chunks)
337 else:
--> 338 zarr_group = zarr.open_group(store, **open_kwargs)
339 return cls(
/srv/conda/envs/notebook/lib/python3.8/site-packages/zarr/hierarchy.py in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options)
1165 elif not contains_group(store, path=path):
-> 1166 raise GroupNotFoundError(path)
1167
GroupNotFoundError: group not found at path ''
During handling of the above exception, another exception occurred:
GroupNotFoundError Traceback (most recent call last)
/srv/conda/envs/notebook/lib/python3.8/site-packages/pangeo_forge_recipes/recipes/xarray_zarr.py in prepare_target(self)
212 try:
--> 213 ds = self.open_target()
214 logger.info("Found an existing dataset in target")
/srv/conda/envs/notebook/lib/python3.8/site-packages/pangeo_forge_recipes/recipes/xarray_zarr.py in open_target(self)
398 target_mapper = self.target.get_mapper()
--> 399 return xr.open_zarr(target_mapper)
400
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_zarr(store, group, synchronizer, chunks, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, consolidated, overwrite_encoded_chunks, chunk_store, storage_options, decode_timedelta, use_cftime, **kwargs)
686
--> 687 ds = open_dataset(
688 filename_or_obj=store,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)
495 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None)
--> 496 backend_ds = backend.open_dataset(
497 filename_or_obj,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, synchronizer, consolidated, consolidate_on_close, chunk_store, storage_options, lock)
733 filename_or_obj = _normalize_path(filename_or_obj)
--> 734 store = ZarrStore.open_group(
735 filename_or_obj,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_group(cls, store, mode, synchronizer, group, consolidated, consolidate_on_close, chunk_store, storage_options, append_dim, write_region, safe_chunks)
337 else:
--> 338 zarr_group = zarr.open_group(store, **open_kwargs)
339 return cls(
/srv/conda/envs/notebook/lib/python3.8/site-packages/zarr/hierarchy.py in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options)
1165 elif not contains_group(store, path=path):
-> 1166 raise GroupNotFoundError(path)
1167
GroupNotFoundError: group not found at path ''
During handling of the above exception, another exception occurred:
GroupNotFoundError Traceback (most recent call last)
<ipython-input-10-bccf9db82171> in <module>
7 pl = r.to_pipelines()
8 plan = executor.pipelines_to_plan(pl)
----> 9 executor.execute_plan(plan)
/srv/conda/envs/notebook/lib/python3.8/site-packages/rechunker/executors/python.py in execute_plan(self, plan, **kwargs)
30
31 def execute_plan(self, plan: Task, **kwargs):
---> 32 plan()
33
34
/srv/conda/envs/notebook/lib/python3.8/site-packages/rechunker/executors/python.py in _execute_all(tasks)
35 def _execute_all(tasks: Iterable[Task]) -> None:
36 for task in tasks:
---> 37 task()
/srv/conda/envs/notebook/lib/python3.8/site-packages/pangeo_forge_recipes/recipes/xarray_zarr.py in prepare_target(self)
260 "ignore"
261 ) # suppress the warning that comes with safe_chunks
--> 262 ds.to_zarr(target_mapper, mode="a", compute=False, safe_chunks=False)
263
264 # Regardless of whether there is an existing dataset or we are creating a new one,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/core/dataset.py in to_zarr(self, store, chunk_store, mode, synchronizer, group, encoding, compute, consolidated, append_dim, region, safe_chunks)
1920 encoding = {}
1921
-> 1922 return to_zarr(
1923 self,
1924 store=store,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py in to_zarr(dataset, store, chunk_store, mode, synchronizer, group, encoding, compute, consolidated, append_dim, region, safe_chunks)
1445 writer = ArrayWriter()
1446 # TODO: figure out how to properly handle unlimited_dims
-> 1447 dump_to_store(dataset, zstore, writer, encoding=encoding)
1448 writes = writer.sync(compute=compute)
1449
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py in dump_to_store(dataset, store, writer, encoder, encoding, unlimited_dims)
1121 variables, attrs = encoder(variables, attrs)
1122
-> 1123 store.store(variables, attrs, check_encoding, writer, unlimited_dims=unlimited_dims)
1124
1125
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in store(self, variables, attributes, check_encoding_set, writer, unlimited_dims)
462 # there are variables to append
463 # their encoding must be the same as in the store
--> 464 ds = open_zarr(self.ds.store, group=self.ds.path, chunks=None)
465 variables_with_encoding = {}
466 for vn in existing_variables:
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_zarr(store, group, synchronizer, chunks, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, consolidated, overwrite_encoded_chunks, chunk_store, storage_options, decode_timedelta, use_cftime, **kwargs)
685 }
686
--> 687 ds = open_dataset(
688 filename_or_obj=store,
689 group=group,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)
494
495 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None)
--> 496 backend_ds = backend.open_dataset(
497 filename_or_obj,
498 drop_variables=drop_variables,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, synchronizer, consolidated, consolidate_on_close, chunk_store, storage_options, lock)
732
733 filename_or_obj = _normalize_path(filename_or_obj)
--> 734 store = ZarrStore.open_group(
735 filename_or_obj,
736 group=group,
/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/zarr.py in open_group(cls, store, mode, synchronizer, group, consolidated, consolidate_on_close, chunk_store, storage_options, append_dim, write_region, safe_chunks)
336 zarr_group = zarr.open_consolidated(store, **open_kwargs)
337 else:
--> 338 zarr_group = zarr.open_group(store, **open_kwargs)
339 return cls(
340 zarr_group, consolidate_on_close, append_dim, write_region, safe_chunks
/srv/conda/envs/notebook/lib/python3.8/site-packages/zarr/hierarchy.py in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options)
1164 raise ContainsArrayError(path)
1165 elif not contains_group(store, path=path):
-> 1166 raise GroupNotFoundError(path)
1167
1168 elif mode == 'w':
GroupNotFoundError: group not found at path ''
I'm now filling in the missing data (and variables) and will ping the thread again when that's complete.
@roxyboy, the previously missing INALT60 surface data (and variables) should now accessible via the same xarray dictionary provided in my earlier comment on this thread.
Here's a preview of the variables in each zarr store and their sizes
import s3fs
import zarr
endpoint_url = 'https://ncsa.osn.xsede.org'
fs_osn = s3fs.S3FileSystem(anon=True, client_kwargs={'endpoint_url': endpoint_url},)
url_base = "s3://Pangeo/pangeo-forge/swot_adac/INALT60/"
root_paths = [f"{url_base}{ds}.zarr" for ds in ("surf_ocean_4h", "surf_ocean_5d", "surf_flux_1d")]
vars_a = ["sossheig", "vomecrty", "vosaline", "votemper", "vozocrtx",]
vars_b = ["sohefldo", "sometauy", "sowaflup", "sozotaux",]
for r in root_paths:
print(r)
group = zarr.open_consolidated(fs_osn.get_mapper(r))
variables = vars_a if "ocean" in r else vars_b
for v in variables:
group_info = group[v].info_items()
print(f"""{group_info[0][1]}
{group_info[-2]}
{group_info[-1]}
""")
s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_4h.zarr
/sossheig
('No. bytes', '9808763904 (9.1G)')
('Chunks initialized', '436/436')
/vomecrty
('No. bytes', '9808763904 (9.1G)')
('Chunks initialized', '436/436')
/vosaline
('No. bytes', '9808763904 (9.1G)')
('Chunks initialized', '436/436')
/votemper
('No. bytes', '9808763904 (9.1G)')
('Chunks initialized', '436/436')
/vozocrtx
('No. bytes', '9808763904 (9.1G)')
('Chunks initialized', '436/436')
s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_ocean_5d.zarr
/sossheig
('No. bytes', '327559824 (312.4M)')
('Chunks initialized', '15/15')
/vomecrty
('No. bytes', '327559824 (312.4M)')
('Chunks initialized', '15/15')
/vosaline
('No. bytes', '327559824 (312.4M)')
('Chunks initialized', '15/15')
/votemper
('No. bytes', '327559824 (312.4M)')
('Chunks initialized', '15/15')
/vozocrtx
('No. bytes', '327559824 (312.4M)')
('Chunks initialized', '15/15')
s3://Pangeo/pangeo-forge/swot_adac/INALT60/surf_flux_1d.zarr
/sohefldo
('No. bytes', '1634793984 (1.5G)')
('Chunks initialized', '73/73')
/sometauy
('No. bytes', '1634793984 (1.5G)')
('Chunks initialized', '73/73')
/sowaflup
('No. bytes', '1634793984 (1.5G)')
('Chunks initialized', '73/73')
/sozotaux
('No. bytes', '1634793984 (1.5G)')
('Chunks initialized', '73/73')
As in your helpful comment https://github.com/pangeo-forge/staged-recipes/pull/29#issuecomment-849468958 (which I will now take a look at in detail), please do let me know if anything seems opaque or out-of-place with these stores. It's a learning process, but I think we're getting a lot closer already!
@roxyboy, the previously missing INALT60 surface data (and variables) should now accessible via the same xarray dictionary provided in my earlier comment on this thread.
@cisaacstern Yes, thank you :) Also, could you push the grid files for HYCOM50 (#29 ) and INALT60 (#26 )?
could you push the grid files for ... INALT60 ?
Yep! The INALT60 grid is now on OSN, as shown below.
Question: I note that the xarray.Dataset doesn't have any coordinates. Is that what you'd expect/prefer, or is there some further processing we can apply to make this grid even more useful to you?
import s3fs
import xarray as xr
endpoint_url = 'https://ncsa.osn.xsede.org'
fs_osn = s3fs.S3FileSystem(anon=True, client_kwargs={'endpoint_url': endpoint_url},)
url = "s3://Pangeo/pangeo-forge/swot_adac/INALT60/grid.zarr"
inalt60_grid = xr.open_zarr(fs_osn.get_mapper(url), consolidated=True)
print(inalt60_grid)
<xarray.Dataset>
Dimensions: (x: 509, y: 738, z: 120)
Dimensions without coordinates: x, y, z
Data variables: (12/44)
e1f (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
e1t (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
e1u (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
e1v (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
e2f (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
e2t (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
... ...
tmask (z, y, x) float64 dask.array<chunksize=(120, 738, 509), meta=np.ndarray>
tmaskutil (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
umask (z, y, x) float64 dask.array<chunksize=(120, 738, 509), meta=np.ndarray>
umaskutil (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
vmask (z, y, x) float64 dask.array<chunksize=(120, 738, 509), meta=np.ndarray>
vmaskutil (y, x) float64 dask.array<chunksize=(738, 509), meta=np.ndarray>
Yep! The INALT60 grid is now on OSN, as shown below.
Thanks a bunch!
Question: I note that the
xarray.Datasetdoesn't have any coordinates. Is that what you'd expect/prefer, or is there some further processing we can apply to make this grid even more useful to you?
The same issue exists also with eNATL60 where both are NEMO outputs. Maybe @lesommer or @auraoupa will have more to say but it seems that the staggered C-grid metadata isn't carried over to the netcdf files.
The data provider for INALT60 asked for password protection for their data on OSN. Sorry for the additional work but could we do this?
password protection for their data on OSN
@roxyboy, it is not possible to password-protect data on our OSN bucket, so we will have to find another bucket to write it to. i do not currently have credentials for another bucket, but i will ask others on our team if there's one we can use. given that ryan is on vacation, it's possible it may take up to a few weeks to identify a password-protectable bucket (though it could be faster).
in the interim, would you like me to delete all of the INALT60 data from OSN? or would you prefer that i leave it there until we've identified an alternative location for it? (it's up to you; from a technical perspective either is fine.)
@roxyboy, it is not possible to password-protect data on our OSN bucket, so we will have to find another bucket to write it to. i do not currently have credentials for another bucket, but i will ask others on our team if there's one we can use. given that ryan is on vacation, it's possible it may take up to a few weeks to identify a password-protectable bucket (though it could be faster).
in the interim, would you like me to delete all of the INALT60 data from OSN? or would you prefer that i leave it there until we've identified an alternative location for it? (it's up to you; from a technical perspective either is fine.)
Ok, thanks for the speedy updates. I'll ask the INALT60 crew and see what they'd prefer.
@sharkinsspatial, per https://github.com/pangeo-forge/staged-recipes/pull/26#issuecomment-873882012 above, @roxyboy and I are in search of a password-protected cloud bucket (ideally on s3, but any should be fine), that we can write these INALT60 recipes to. Collectively, they represent about 550 GBs. (Around 50 for the surface data, and 500 for the interiors.)
Are you aware of any existing password-protected endpoints in the greater Pangeo Forge universe that fit these requirements?
in the interim, would you like me to delete all of the INALT60 data from OSN? or would you prefer that i leave it there until we've identified an alternative location for it? (it's up to you; from a technical perspective either is fine.)
The INALT60 crew are ok with keeping the data on OSN until we find a private bucket.
keeping the data on OSN until we find a private bucket.
Cool. In the interim, would you like me to write the INALT60 interior data to OSN? I have it queued and ready to go. I can also wait until we have the private bucket, but that may be a few weeks from now. It's looking like we will probably need Ryan to set that up.
Cool. In the interim, would you like me to write the INALT60 interior data to OSN? I have it queued and ready to go. I can also wait until we have the private bucket, but that may be a few weeks from now. It's looking like we will probably need Ryan to set that up.
I think we can wait for the interior data of INALT60 :)
Per Ryan's suggestion in https://github.com/pangeo-forge/staged-recipes/pull/56#discussion_r677606400, before this recipe is merged, I will rework it to avoid manipulating __defaults__.
