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Last active September 20, 2022 15:59
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Single file datasets
import kerchunk.hdf
import fsspec
import tarfile
import xarray as xr
ro = dict(
s3={
"anon": True,
"client_kwargs": {"endpoint_url": "https://object-store.cloud.muni.cz"}
}
)
# get offsets
with fsspec.open("s3://testfred/ice.tar", **ro["s3"]) as tf:
tar = tarfile.TarFile(fileobj=tf)
offsets = {ti.name: ti.offset_data for ti in tar.getmembers()}
ofs = fsspec.open(
"tar://*.nc::s3://testfred/ice.tar", **ro
)
outs = {}
for of in ofs:
with of as f:
h = kerchunk.hdf.SingleHdf5ToZarr(f)
outs[of.path] = h.translate()
# try first dataset
out = outs["SEDNA-DELTA_y2014m01d01.1d_icemod.nc.nc"]
fs = fsspec.filesystem(
"reference",
fo=out,
template_overrides={"u": "tar://SEDNA-DELTA_y2014m01d01.1d_icemod.nc"},
remote_options={
"fo": "s3://testfred/ice.tar",
"target_options": ro["s3"]
}
)
ds = xr.open_zarr(fs.get_mapper(""), consolidated=False)
# or with direct - apply 512 offset
mod = fs.references.copy()
for k, v in mod.items():
if isinstance(v, list):
v[0] = "s3://testfred/ice.tar"
v[1] += 512
fs2 = fsspec.filesystem(
"reference",
fo=mod,
remote_options=ro["s3"]
)
ds2 = xr.open_zarr(fs2.get_mapper(""), consolidated=False)
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7810a01a-86c3-4e79-a74d-bffd892203d7",
"metadata": {},
"outputs": [],
"source": [
"import kerchunk.hdf\n",
"import fsspec\n",
"import tarfile\n",
"import xarray as xr"
]
},
{
"cell_type": "raw",
"id": "97d7587d-3b2b-4831-a882-e29f57d0ef88",
"metadata": {},
"source": [
"!conda list |grep fsspec\n",
"!pip install fsspec==2022.8.2\n",
"!pip install kerchunk==0.0.8"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "628b2033-24cb-4d14-8131-41d30422d851",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/srv/conda/envs/notebook/lib/python3.9/site-packages/distributed/client.py:1274: VersionMismatchWarning: Mismatched versions found\n",
"\n",
"+---------+----------+-----------+----------+\n",
"| Package | client | scheduler | workers |\n",
"+---------+----------+-----------+----------+\n",
"| dask | 2022.9.1 | 2022.7.0 | 2022.9.1 |\n",
"+---------+----------+-----------+----------+\n",
" warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-385efa86-38fa-11ed-8ac0-e2d98d26531c</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Direct</td>\n",
" <td style=\"text-align: left;\"></td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Scheduler Info</h3></summary>\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-2b6a72f9-0433-419e-8082-9cc14e981475</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:43389\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> 1 hour ago\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 8.00 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:38745\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37927/status\" target=\"_blank\">http://127.0.0.1:37927/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:45945\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-j435928z\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> 0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 422.62 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 5.71 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 5.71 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:40901\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44369/status\" target=\"_blank\">http://127.0.0.1:44369/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:35735\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-bko2jqtv\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> 0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 4.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 421.05 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 28.07 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 35.77 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:37989\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33859/status\" target=\"_blank\">http://127.0.0.1:33859/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:36063\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-ytwl46ac\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> 0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 4.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 424.68 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 28.11 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 35.83 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:42855\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39563/status\" target=\"_blank\">http://127.0.0.1:39563/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:39289\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-f79d8q0z\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> 0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> 0\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>0\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 4.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 421.58 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 28.06 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 35.76 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:43389' processes=4 threads=4, memory=8.00 GiB>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from dask.distributed import Client\n",
"\n",
"client = Client(\"tcp://127.0.0.1:43389\")\n",
"client"
]
},
{
"cell_type": "markdown",
"id": "66440f81-ef28-45a8-b60d-533bf0a924ba",
"metadata": {},
"source": [
"## Opening original netcdf files using open_mfdataset and compute a mean. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "17e692b4-8953-480c-8ef1-f84e4b4aeadf",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['testfred/SEDNA-DELTA_y2014m01d01.1d_gridS.nc',\n",
" 'testfred/SEDNA-DELTA_y2014m01d01.1d_icemod.nc',\n",
" 'testfred/SEDNA-DELTA_y2014m01d02.1d_icemod.nc',\n",
" 'testfred/SEDNA-DELTA_y2014m01d03.1d_icemod.nc',\n",
" 'testfred/gridS.tar',\n",
" 'testfred/ice.tar']"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import s3fs\n",
"\n",
"\n",
"fs = s3fs.S3FileSystem(anon=True,\n",
" client_kwargs={\n",
" 'endpoint_url': 'https://object-store.cloud.muni.cz'\n",
" })\n",
"fs.ls('testfred')\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a2d5b219-ca8e-4bdb-bf20-092e22c94a2b",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 4 µs, sys: 1 µs, total: 5 µs\n",
"Wall time: 9.78 µs\n"
]
}
],
"source": [
"%%time\n",
"s3path = 's3://testfred/*icemod*.nc'\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "6f500c09-5b24-4389-9542-84f27c7bc6f6",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (y: 6540, x: 6560, time_counter: 3, axis_nbounds: 2)\n",
"Coordinates:\n",
" nav_lat (y, x) float32 dask.array&lt;chunksize=(6540, 6560), meta=np.ndarray&gt;\n",
" nav_lon (y, x) float32 dask.array&lt;chunksize=(6540, 6560), meta=np.ndarray&gt;\n",
" time_centered (time_counter) object dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
" time_centered_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
" * time_counter (time_counter) object 2014-01-01 12:00:00 ... 2014-...\n",
" time_counter_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
"Dimensions without coordinates: y, x, axis_nbounds\n",
"Data variables: (12/29)\n",
" sivolu (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" snvolu (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" sisali (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" siages (time_counter, y, x) timedelta64[ns] dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" siconc (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" sithic (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" ... ...\n",
" qtr_ice_bot (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" qtr_ice_top (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" qt_oce_ai (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" qt_atm_oi (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" sfxice (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
" sfxopw (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;\n",
"Attributes:\n",
" description: ice variables\n",
" title: ice variables\n",
" Conventions: CF-1.6\n",
" uuid: 88a97ec9-304c-42e6-b894-2730b1a82b37\n",
" start_date: 20090101\n",
" output_frequency: 1d\n",
" CONFIG: SEDNA\n",
" CASE: DELTA</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f6195f40-fd66-42a0-9b3c-f855eb34b8e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6195f40-fd66-42a0-9b3c-f855eb34b8e3' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 6540</li><li><span>x</span>: 6560</li><li><span class='xr-has-index'>time_counter</span>: 3</li><li><span>axis_nbounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1d38c1ad-a7cd-40bb-80fc-c54dce8e74d7' class='xr-section-summary-in' type='checkbox' checked><label for='section-1d38c1ad-a7cd-40bb-80fc-c54dce8e74d7' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(6540, 6560), meta=np.ndarray&gt;</div><input id='attrs-09b190d0-d0fe-43a5-a10b-633deecefda1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09b190d0-d0fe-43a5-a10b-633deecefda1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aef3f5b-fba5-40d6-a4e0-dec275bf5e6d' class='xr-var-data-in' type='checkbox'><label for='data-0aef3f5b-fba5-40d6-a4e0-dec275bf5e6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
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" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 163.66 MiB </td>\n",
" <td> 163.66 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (6540, 6560) </td>\n",
" <td> (6540, 6560) </td>\n",
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" <tr>\n",
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" <tr>\n",
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" </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(6540, 6560), meta=np.ndarray&gt;</div><input id='attrs-6d8459e4-9a25-4ec0-b39c-d7da84e8194e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d8459e4-9a25-4ec0-b39c-d7da84e8194e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e57720ba-28f1-4b81-acda-9040b3cd8926' class='xr-var-data-in' type='checkbox'><label for='data-e57720ba-28f1-4b81-acda-9040b3cd8926' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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" <td> 163.66 MiB </td>\n",
" <td> 163.66 MiB </td>\n",
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" \n",
" <tr>\n",
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" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_centered</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-f8038ac6-1538-4cae-896a-5861ee26a1fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8038ac6-1538-4cae-896a-5861ee26a1fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7704186-0dd1-4a80-99f8-b9841798583a' class='xr-var-data-in' type='checkbox'><label for='data-f7704186-0dd1-4a80-99f8-b9841798583a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 24 B </td>\n",
" <td> 8 B </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3,) </td>\n",
" <td> (1,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 7 Graph Layers </td>\n",
" <td> 3 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> object </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
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" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_centered_bounds</span></div><div class='xr-var-dims'>(time_counter, axis_nbounds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-142c2ba2-8cad-4bfd-a836-fd625b30ef74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-142c2ba2-8cad-4bfd-a836-fd625b30ef74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99545742-ea0f-449a-858d-171e1c75e236' class='xr-var-data-in' type='checkbox'><label for='data-99545742-ea0f-449a-858d-171e1c75e236' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 48 B </td>\n",
" <td> 16 B </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 2) </td>\n",
" <td> (1, 2) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 7 Graph Layers </td>\n",
" <td> 3 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> object </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2014-01-01 12:00:00 ... 2014-01-...</div><input id='attrs-c31afb8d-5502-4db6-91d5-caabeac3d5a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c31afb8d-5502-4db6-91d5-caabeac3d5a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b113ce5a-1c99-45b7-a50a-788bd4339b46' class='xr-var-data-in' type='checkbox'><label for='data-b113ce5a-1c99-45b7-a50a-788bd4339b46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2014, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 3, 12, 0, 0, 0, has_year_zero=True)],\n",
" dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_counter_bounds</span></div><div class='xr-var-dims'>(time_counter, axis_nbounds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-91f5ed49-8359-4356-b373-db8fb5076865' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91f5ed49-8359-4356-b373-db8fb5076865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4b9718a-715d-4ba3-84b2-3bbbe9c8f905' class='xr-var-data-in' type='checkbox'><label for='data-f4b9718a-715d-4ba3-84b2-3bbbe9c8f905' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
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" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
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" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 48 B </td>\n",
" <td> 16 B </td>\n",
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" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 2) </td>\n",
" <td> (1, 2) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 7 Graph Layers </td>\n",
" <td> 3 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> object </td>\n",
" <td> numpy.ndarray </td>\n",
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" </tbody>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f66cd785-6ec0-42cb-b5d4-8ffba75b2671' class='xr-section-summary-in' type='checkbox' ><label for='section-f66cd785-6ec0-42cb-b5d4-8ffba75b2671' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sivolu</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;</div><input id='attrs-481fb384-9c09-4a77-beb9-f826c369b7f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-481fb384-9c09-4a77-beb9-f826c369b7f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0beaec-0ed0-4274-a746-c9b5a0578622' class='xr-var-data-in' type='checkbox'><label for='data-9b0beaec-0ed0-4274-a746-c9b5a0578622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_thickness</dd><dt><span>long_name :</span></dt><dd>ice volume</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 490.98 MiB </td>\n",
" <td> 163.66 MiB </td>\n",
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" <td> (3, 6540, 6560) </td>\n",
" <td> (1, 6540, 6560) </td>\n",
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" <th> Count </th>\n",
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" <td> 3 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snvolu</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;</div><input id='attrs-d3ba286b-4fd2-4338-9d6c-a67b30bf8857' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3ba286b-4fd2-4338-9d6c-a67b30bf8857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab4a4cb-df10-4690-b2fb-9cffa3cb97a3' class='xr-var-data-in' type='checkbox'><label for='data-0ab4a4cb-df10-4690-b2fb-9cffa3cb97a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>snow volume</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd></dl></div><div class='xr-var-data'><table>\n",
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" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
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" <td> 490.98 MiB </td>\n",
" <td> 163.66 MiB </td>\n",
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" \n",
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" <th> Shape </th>\n",
" <td> (3, 6540, 6560) </td>\n",
" <td> (1, 6540, 6560) </td>\n",
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" <tr>\n",
" <th> Count </th>\n",
" <td> 7 Graph Layers </td>\n",
" <td> 3 Chunks </td>\n",
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" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sisali</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 6540, 6560), meta=np.ndarray&gt;</div><input id='attrs-77584865-b1d7-42b5-b68c-358718ac1268' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77584865-b1d7-42b5-b68c-358718ac1268' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2920fd-7548-4fe0-9fbf-73265b0b4bc5' class='xr-var-data-in' type='checkbox'><label for='data-ba2920fd-7548-4fe0-9fbf-73265b0b4bc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean ice salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd></dl></div><div class='xr-var-data'><table>\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9351088, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-048778a2-05f7-4e38-8295-35c76ad5e957' class='xr-array-in' type='checkbox' checked><label for='section-048778a2-05f7-4e38-8295-35c76ad5e957' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9351</span></div><div class='xr-array-data'><pre>array(0.9351088, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-dc0a2fd7-229e-498d-b136-92bfd475bd96' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc0a2fd7-229e-498d-b136-92bfd475bd96' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ab50b5d3-2a0f-409a-bb1c-b86406924cdc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab50b5d3-2a0f-409a-bb1c-b86406924cdc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"source": [
"%%time\n",
"fileset = [fs.open(file) for file in fs.glob(s3path)]\n",
"ds=xr.open_mfdataset(fileset, combine='nested', concat_dim=['time_counter'] \n",
" ,compat='override',coords='minimal',\n",
" decode_coords=\"all\")\n",
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"source": [
"## Opening original netcdf files usingl kerchunk, (SingleHdf5ToZarr then MultiZarrToZarr) and compute a mean. \n",
"\n",
"May be here how I set 'url' is wrong? need s3fs instead of https??"
]
},
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"id": "95c4b390-fe56-48dc-9a14-83cbf215a602",
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"working on <File-like object S3FileSystem, testfred/SEDNA-DELTA_y2014m01d01.1d_icemod.nc> testfred/SEDNA-DELTA_y2014m01d01.1d_icemod.nc https://object-store.cloud.muni.cz/swift/v1/testfred/SEDNA-DELTA_y2014m01d01.1d_icemod.nc\n"
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"text": [
"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py:405: UserWarning: The following excepion was caught and quashed while traversing HDF5\n",
"argument of type 'Empty' is not iterable\n",
"Traceback (most recent call last):\n",
" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 247, in _translator\n",
" elif _is_netcdf_datetime(h5obj):\n",
" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 523, in _is_netcdf_datetime\n",
" return units and \"since\" in units\n",
"TypeError: argument of type 'Empty' is not iterable\n",
"\n",
" warnings.warn(msg)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"working on <File-like object S3FileSystem, testfred/SEDNA-DELTA_y2014m01d02.1d_icemod.nc> testfred/SEDNA-DELTA_y2014m01d02.1d_icemod.nc https://object-store.cloud.muni.cz/swift/v1/testfred/SEDNA-DELTA_y2014m01d02.1d_icemod.nc\n",
"working on <File-like object S3FileSystem, testfred/SEDNA-DELTA_y2014m01d03.1d_icemod.nc> testfred/SEDNA-DELTA_y2014m01d03.1d_icemod.nc https://object-store.cloud.muni.cz/swift/v1/testfred/SEDNA-DELTA_y2014m01d03.1d_icemod.nc\n",
"CPU times: user 32.6 s, sys: 20.1 s, total: 52.7 s\n",
"Wall time: 1min 38s\n"
]
}
],
"source": [
"%%time\n",
"chunk_info_list = []\n",
"\n",
"for file in fileset:\n",
" url = 'https://object-store.cloud.muni.cz/swift/v1/' + file.path\n",
" print('working on ', file,file.path,url)\n",
" h5chunks = kerchunk.hdf.SingleHdf5ToZarr(file, url)#file.path, inline_threshold=100)#, inline_threshold=100)\n",
" chunk_info_list.append(h5chunks.translate())"
]
},
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"execution_count": 7,
"id": "1ee7980e-c617-47a1-8662-23b7035bbe88",
"metadata": {
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9351073, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f73c6a2f-3b6c-4d2c-ab56-8f19cf460b06' class='xr-array-in' type='checkbox' checked><label for='section-f73c6a2f-3b6c-4d2c-ab56-8f19cf460b06' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9351</span></div><div class='xr-array-data'><pre>array(0.9351073, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d1512a6b-6bcc-4910-b768-1eb18e7e4983' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1512a6b-6bcc-4910-b768-1eb18e7e4983' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e6ab6928-1502-4b66-aea8-d1726d325051' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6ab6928-1502-4b66-aea8-d1726d325051' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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},
"execution_count": 7,
"metadata": {},
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"source": [
"ds_notar=xr.open_mfdataset(\n",
" \"reference://\", engine=\"zarr\",\n",
" backend_kwargs={\n",
" \"storage_options\": {\n",
" \"fo\": chunk_info_list[0],\n",
" },\n",
" \"consolidated\": False\n",
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")\n",
"#display(ds_notar)\n",
"ds_notar.sivolu.sel(time_counter='2014-01-01').mean().compute()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "a68bf9f1-3731-4e20-b226-02b0c7623571",
"metadata": {},
"outputs": [],
"source": [
"from kerchunk.combine import MultiZarrToZarr\n",
"mzz = MultiZarrToZarr(\n",
" chunk_info_list,\n",
" concat_dims=[\"time_counter\"],\n",
" identical_dims=['nav_lon','nav_lat']\n",
")\n",
"\n",
"out = mzz.translate() \n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "e70d4317-0747-4c20-8edd-44f4acae8860",
"metadata": {
"tags": []
},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time_counter: 3, y: 6540, x: 6560, axis_nbounds: 2)\n",
"Coordinates:\n",
" nav_lat (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" nav_lon (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" time_centered (time_counter) object dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
" * time_counter (time_counter) object 2014-01-01 12:00:00 ... 2014-...\n",
"Dimensions without coordinates: y, x, axis_nbounds\n",
"Data variables: (12/29)\n",
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" intstry (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" ... ...\n",
" time_centered_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
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"Attributes:\n",
" CASE: DELTA\n",
" CONFIG: SEDNA\n",
" Conventions: CF-1.6\n",
" description: ice variables\n",
" output_frequency: 1d\n",
" start_date: 20090101\n",
" title: ice variables\n",
" uuid: 88a97ec9-304c-42e6-b894-2730b1a82b37</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-195ac410-8714-4635-9bdf-8fca22c99cb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-195ac410-8714-4635-9bdf-8fca22c99cb4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_counter</span>: 3</li><li><span>y</span>: 6540</li><li><span>x</span>: 6560</li><li><span>axis_nbounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d9aa582b-3f61-40d0-b817-ffb58a8510ea' class='xr-section-summary-in' type='checkbox' checked><label for='section-d9aa582b-3f61-40d0-b817-ffb58a8510ea' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;</div><input id='attrs-d175e391-66c3-4466-93d6-62ffb01f8018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d175e391-66c3-4466-93d6-62ffb01f8018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bd41523-80d8-4e39-9e57-9e1b2135ba1b' class='xr-var-data-in' type='checkbox'><label for='data-3bd41523-80d8-4e39-9e57-9e1b2135ba1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
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" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
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" <td> 163.66 MiB </td>\n",
" <td> 333.12 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (6540, 6560) </td>\n",
" <td> (13, 6560) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 504 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
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" </tbody>\n",
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" <tr>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2014-01-01 12:00:00 ... 2014-01-...</div><input id='attrs-40486c99-6ac3-49c5-8a78-eb06aa40f2a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40486c99-6ac3-49c5-8a78-eb06aa40f2a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aa5b54e-93c0-40ce-a0ba-559fc383f1f2' class='xr-var-data-in' type='checkbox'><label for='data-4aa5b54e-93c0-40ce-a0ba-559fc383f1f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_counter_bounds</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2014, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 3, 12, 0, 0, 0, has_year_zero=True)],\n",
" dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b927c70-b1e6-479d-9c39-d14e38d75837' class='xr-section-summary-in' type='checkbox' ><label for='section-9b927c70-b1e6-479d-9c39-d14e38d75837' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>corstrx</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;</div><input id='attrs-a06b4f39-99f1-4536-b21f-27e705e83827' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a06b4f39-99f1-4536-b21f-27e705e83827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d850b27d-8829-4805-aa1b-39b5bff1f4a4' class='xr-var-data-in' type='checkbox'><label for='data-d850b27d-8829-4805-aa1b-39b5bff1f4a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>long_name :</span></dt><dd>Coriolis force term in force balance (x-component)</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>standard_name :</span></dt><dd>coriolis_force_on_sea_ice_x</dd><dt><span>units :</span></dt><dd>N/m2</dd></dl></div><div class='xr-var-data'><table>\n",
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" \n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>utau_oi</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;</div><input id='attrs-08092abb-9e5d-4b42-87e3-623f8048b6df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08092abb-9e5d-4b42-87e3-623f8048b6df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca41274-cabd-4511-8c06-67db968842a5' class='xr-var-data-in' type='checkbox'><label for='data-1ca41274-cabd-4511-8c06-67db968842a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>long_name :</span></dt><dd>X-component of ocean stress on sea ice</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>standard_name :</span></dt><dd>sea_ice_base_upward_x_stress</dd><dt><span>units :</span></dt><dd>N/m2</dd></dl></div><div class='xr-var-data'><table>\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9351073, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6fcef5df-d425-4205-9f7f-6c5e45247074' class='xr-array-in' type='checkbox' checked><label for='section-6fcef5df-d425-4205-9f7f-6c5e45247074' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9351</span></div><div class='xr-array-data'><pre>array(0.9351073, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6c55cfac-1890-4578-aded-c91d28f6020a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6c55cfac-1890-4578-aded-c91d28f6020a' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a469ee1c-4964-427c-b7fc-9a151a7de899' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a469ee1c-4964-427c-b7fc-9a151a7de899' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9407204, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eadf6487-5381-4ca1-b7dd-3ca8f4fd1bf3' class='xr-array-in' type='checkbox' checked><label for='section-eadf6487-5381-4ca1-b7dd-3ca8f4fd1bf3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9407</span></div><div class='xr-array-data'><pre>array(0.9407204, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-998f4816-6487-4653-b847-e6c4024bacb8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-998f4816-6487-4653-b847-e6c4024bacb8' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4af96c72-9347-4bb1-afc5-70632e5b19bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4af96c72-9347-4bb1-afc5-70632e5b19bc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"source": [
"ds_notar=xr.open_mfdataset(\n",
" \"reference://\", engine=\"zarr\",\n",
" backend_kwargs={\n",
" \"storage_options\": {\n",
" \"fo\": out,\n",
" },\n",
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" }\n",
")\n",
"display(ds_notar)\n",
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"id": "b81aba90-434d-4a55-b9d4-84ba567dbd95",
"metadata": {},
"source": [
"## Opening tar'ed netcdf files using kerchunk, (SingleHdf5ToZarr then MultiZarrToZarr) and compute a mean. \n",
"\n",
"I'm not sure how i should set the 'url' including the path to tar here.. (of.path does not include the information about where the file is?)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "053fe722-cb67-46de-9003-a8fefecc47a9",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py:405: UserWarning: The following excepion was caught and quashed while traversing HDF5\n",
"argument of type 'Empty' is not iterable\n",
"Traceback (most recent call last):\n",
" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 247, in _translator\n",
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" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 523, in _is_netcdf_datetime\n",
" return units and \"since\" in units\n",
"TypeError: argument of type 'Empty' is not iterable\n",
"\n",
" warnings.warn(msg)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 27.8 s, sys: 18.2 s, total: 46 s\n",
"Wall time: 1min 26s\n"
]
}
],
"source": [
"%%time \n",
"ro = dict(\n",
" s3={\n",
" \"anon\": True,\n",
" \"client_kwargs\": {\"endpoint_url\": \"https://object-store.cloud.muni.cz\"}\n",
" }\n",
")\n",
"\n",
"# get offsets\n",
"with fsspec.open(\"s3://testfred/ice.tar\", **ro[\"s3\"]) as tf:\n",
" tar = tarfile.TarFile(fileobj=tf)\n",
" offsets = {ti.name: ti.offset_data for ti in tar.getmembers()}\n",
"\n",
"ofs = fsspec.open_files(\n",
" \"tar://*.nc::s3://testfred/ice.tar\", **ro\n",
")\n",
"outs = {}\n",
"for of in ofs:\n",
" with of as f:\n",
" h = kerchunk.hdf.SingleHdf5ToZarr(f,of.path)\n",
" outs[of.path] = h.translate()\n",
" "
]
},
{
"cell_type": "markdown",
"id": "fb22dc91-6c4c-4916-8c42-8f21b132509b",
"metadata": {},
"source": [
"## Verify opening one kerchunk file corresponding to 2014-01-01 only and compute mean. \n",
"ok"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "cbe2888d-ffcd-49e0-adf4-d6207fe15eee",
"metadata": {},
"outputs": [
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"\n",
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"\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9351073, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-33434397-3dd4-4e99-a462-bd6042866dc7' class='xr-array-in' type='checkbox' checked><label for='section-33434397-3dd4-4e99-a462-bd6042866dc7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9351</span></div><div class='xr-array-data'><pre>array(0.9351073, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9ee8444a-1b35-413d-b5ab-c530acd33934' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ee8444a-1b35-413d-b5ab-c530acd33934' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bfbdf56d-3ca4-4692-a5be-07992e207132' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bfbdf56d-3ca4-4692-a5be-07992e207132' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"text/plain": [
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],
"source": [
"out = outs[\"SEDNA-DELTA_y2014m01d01.1d_icemod.nc\"]\n",
"fs = fsspec.filesystem(\n",
" \"reference\",\n",
" fo=out,\n",
" template_overrides={\"u\": \"tar://SEDNA-DELTA_y2014m01d01.1d_icemod.nc\"},\n",
" remote_options={\n",
" \"fo\": \"s3://testfred/ice.tar\",\n",
" \"target_options\": ro[\"s3\"]\n",
" }\n",
")\n",
"ds_tar = xr.open_zarr(fs.get_mapper(\"\"), consolidated=False)\n",
"\n",
"display(ds_tar.sivolu.sel(time_counter='2014-01-01').mean().compute())\n",
"\n",
"#ds_tar.sivolu.sel(time_counter='2014-01-01').plot()"
]
},
{
"cell_type": "markdown",
"id": "2fc8bbd4-0b70-4de4-86b6-e874cab022c8",
"metadata": {},
"source": [
"### Apply multizarrtozarr on tar'ed netcdf files."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "de0e18a6-82b0-424c-9ed8-6881acde0739",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py:405: UserWarning: The following excepion was caught and quashed while traversing HDF5\n",
"argument of type 'Empty' is not iterable\n",
"Traceback (most recent call last):\n",
" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 247, in _translator\n",
" elif _is_netcdf_datetime(h5obj):\n",
" File \"/srv/conda/envs/notebook/lib/python3.9/site-packages/kerchunk/hdf.py\", line 523, in _is_netcdf_datetime\n",
" return units and \"since\" in units\n",
"TypeError: argument of type 'Empty' is not iterable\n",
"\n",
" warnings.warn(msg)\n"
]
}
],
"source": [
" \n",
"from kerchunk.combine import MultiZarrToZarr\n",
"ro = dict(\n",
" s3={\n",
" \"anon\": True,\n",
" \"client_kwargs\": {\"endpoint_url\": \"https://object-store.cloud.muni.cz\"}\n",
" }\n",
")\n",
"\n",
"# get offsets\n",
"with fsspec.open(\"s3://testfred/ice.tar\", **ro[\"s3\"]) as tf:\n",
" tar = tarfile.TarFile(fileobj=tf)\n",
" offsets = {ti.name: ti.offset_data for ti in tar.getmembers()}\n",
"\n",
"ofs = fsspec.open_files(\n",
" \"tar://*.nc::s3://testfred/ice.tar\", **ro\n",
")\n",
"outs = {}\n",
"for of in ofs:\n",
" with of as f:\n",
" h = kerchunk.hdf.SingleHdf5ToZarr(f,of.path)\n",
" outs[of.path] = h.translate()\n",
"\n",
"mzz = MultiZarrToZarr(\n",
" list(outs.values()),\n",
" concat_dims=[\"time_counter\"],\n",
" identical_dims=['nav_lon','nav_lat']\n",
")\n",
"\n",
"out = mzz.translate() "
]
},
{
"cell_type": "markdown",
"id": "11d436ba-b454-4b55-b218-8352950e14b2",
"metadata": {},
"source": [
"### Here it looks that multizarrtozarr'ed file is opend but value setted as template_overrides is correct?\n",
"\n",
"It would be complicated to 'write' explicitly the name of netcdf file inside the tar here,\n",
"is it possible to put these informations tar://. or s3://testfred/ice.tar in the combined .json file?\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "159dde7b-da52-4cd8-ab08-1cf010d79034",
"metadata": {
"tags": []
},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time_counter: 3, y: 6540, x: 6560, axis_nbounds: 2)\n",
"Coordinates:\n",
" nav_lat (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" nav_lon (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" time_centered (time_counter) object dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
" * time_counter (time_counter) object 2014-01-01 12:00:00 ... 2014-...\n",
"Dimensions without coordinates: y, x, axis_nbounds\n",
"Data variables: (12/29)\n",
" corstrx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" corstry (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" dssh_dx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" dssh_dy (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" intstrx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" intstry (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" ... ...\n",
" time_centered_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
" time_counter_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
" utau_ai (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" utau_oi (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" vtau_ai (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" vtau_oi (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
"Attributes:\n",
" CASE: DELTA\n",
" CONFIG: SEDNA\n",
" Conventions: CF-1.6\n",
" description: ice variables\n",
" output_frequency: 1d\n",
" start_date: 20090101\n",
" title: ice variables\n",
" uuid: 88a97ec9-304c-42e6-b894-2730b1a82b37</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a9a2910-50db-4958-b66c-47822c19f62e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a9a2910-50db-4958-b66c-47822c19f62e' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_counter</span>: 3</li><li><span>y</span>: 6540</li><li><span>x</span>: 6560</li><li><span>axis_nbounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a9a1f73d-bf5d-4564-b392-0bea7887a9cc' class='xr-section-summary-in' type='checkbox' checked><label for='section-a9a1f73d-bf5d-4564-b392-0bea7887a9cc' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;</div><input id='attrs-934e30a2-fd1c-4045-8e1c-75e337e82220' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-934e30a2-fd1c-4045-8e1c-75e337e82220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8689d6fe-c09a-4f14-b9d2-68c0734b042c' class='xr-var-data-in' type='checkbox'><label for='data-8689d6fe-c09a-4f14-b9d2-68c0734b042c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 163.66 MiB </td>\n",
" <td> 333.12 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (6540, 6560) </td>\n",
" <td> (13, 6560) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 504 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"169\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;</div><input id='attrs-0d8b9887-55ea-4806-84fb-6617e46b09ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d8b9887-55ea-4806-84fb-6617e46b09ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b979de2-3068-4537-b69e-323a53aacc9e' class='xr-var-data-in' type='checkbox'><label for='data-2b979de2-3068-4537-b69e-323a53aacc9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 163.66 MiB </td>\n",
" <td> 333.12 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (6540, 6560) </td>\n",
" <td> (13, 6560) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
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" <td> float32 </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_centered</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-9c26cfe6-3f6f-4aca-bfd2-124fb436b081' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c26cfe6-3f6f-4aca-bfd2-124fb436b081' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98ab04d5-090a-4612-844b-835f3d27c180' class='xr-var-data-in' type='checkbox'><label for='data-98ab04d5-090a-4612-844b-835f3d27c180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_centered_bounds</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><table>\n",
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" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
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" <td> 8 B </td>\n",
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" <th> Shape </th>\n",
" <td> (3,) </td>\n",
" <td> (1,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 3 Chunks </td>\n",
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" <tr>\n",
" <th> Type </th>\n",
" <td> object </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2014-01-01 12:00:00 ... 2014-01-...</div><input id='attrs-b18d2824-017f-477e-948a-48f0cceff211' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b18d2824-017f-477e-948a-48f0cceff211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16e5bc34-5faa-42f2-823a-38f5ffeefbd6' class='xr-var-data-in' type='checkbox'><label for='data-16e5bc34-5faa-42f2-823a-38f5ffeefbd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_counter_bounds</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2014, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 3, 12, 0, 0, 0, has_year_zero=True)],\n",
" dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdcbc40c-04f8-4da1-ad69-ece81f506977' class='xr-section-summary-in' type='checkbox' ><label for='section-fdcbc40c-04f8-4da1-ad69-ece81f506977' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>corstrx</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;</div><input id='attrs-1eab05b4-d5fa-467a-bca1-c1cb0ee50fc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1eab05b4-d5fa-467a-bca1-c1cb0ee50fc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf4e06c-50e5-4a37-84a4-15d4b8b2d7d2' class='xr-var-data-in' type='checkbox'><label for='data-8cf4e06c-50e5-4a37-84a4-15d4b8b2d7d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>long_name :</span></dt><dd>Coriolis force term in force balance (x-component)</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>standard_name :</span></dt><dd>coriolis_force_on_sea_ice_x</dd><dt><span>units :</span></dt><dd>N/m2</dd></dl></div><div class='xr-var-data'><table>\n",
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" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
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" <td> float32 </td>\n",
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" \n",
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" <th> Type </th>\n",
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"\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9351073, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2e7f846e-1937-43c6-8fd9-7353d1a0dffb' class='xr-array-in' type='checkbox' checked><label for='section-2e7f846e-1937-43c6-8fd9-7353d1a0dffb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9351</span></div><div class='xr-array-data'><pre>array(0.9351073, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-35dd6599-6dca-4154-973c-75fd87aa51e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35dd6599-6dca-4154-973c-75fd87aa51e9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7c90ddde-f8e7-4a75-aef1-a5c959bd7182' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c90ddde-f8e7-4a75-aef1-a5c959bd7182' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"\n",
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"\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sivolu&#x27; ()&gt;\n",
"array(0.9407204, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sivolu'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-09ae926d-6a3b-4031-b103-7970e2853e61' class='xr-array-in' type='checkbox' checked><label for='section-09ae926d-6a3b-4031-b103-7970e2853e61' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9407</span></div><div class='xr-array-data'><pre>array(0.9407204, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a4584d6f-8a87-426d-919b-0a45869316c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4584d6f-8a87-426d-919b-0a45869316c4' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dabb90d8-2195-413d-b4a5-f39452c5d3ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dabb90d8-2195-413d-b4a5-f39452c5d3ce' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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"source": [
"fs = fsspec.filesystem(\n",
" \"reference\",\n",
" fo=out,\n",
" template_overrides={\"u\": \"tar://SEDNA-DELTA_y2014m01d01.1d_icemod.nc\"},\n",
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"display(ds)\n",
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"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "85b6f51f-3cd6-4f59-a57e-e8711b35cd1f",
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"outputs": [],
"source": []
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{
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"execution_count": 20,
"id": "bf5cd2b9-c9d3-4707-8455-6be6a7560fc8",
"metadata": {
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"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time_counter: 3, y: 6540, x: 6560, axis_nbounds: 2)\n",
"Coordinates:\n",
" nav_lat (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" nav_lon (y, x) float32 dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;\n",
" time_centered (time_counter) object dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
" * time_counter (time_counter) object 2014-01-01 12:00:00 ... 2014-...\n",
"Dimensions without coordinates: y, x, axis_nbounds\n",
"Data variables: (12/29)\n",
" corstrx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" corstry (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" dssh_dx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" dssh_dy (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" intstrx (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" intstry (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" ... ...\n",
" time_centered_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
" time_counter_bounds (time_counter, axis_nbounds) object dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
" utau_ai (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" utau_oi (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" vtau_ai (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
" vtau_oi (time_counter, y, x) float32 dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;\n",
"Attributes:\n",
" CASE: DELTA\n",
" CONFIG: SEDNA\n",
" Conventions: CF-1.6\n",
" description: ice variables\n",
" output_frequency: 1d\n",
" start_date: 20090101\n",
" title: ice variables\n",
" uuid: 88a97ec9-304c-42e6-b894-2730b1a82b37</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cf8199ba-6cf1-4bbd-a113-e7e7bc37527f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf8199ba-6cf1-4bbd-a113-e7e7bc37527f' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_counter</span>: 3</li><li><span>y</span>: 6540</li><li><span>x</span>: 6560</li><li><span>axis_nbounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-50c79b75-80e0-4bff-9197-f0c4e167ef90' class='xr-section-summary-in' type='checkbox' checked><label for='section-50c79b75-80e0-4bff-9197-f0c4e167ef90' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;</div><input id='attrs-36d5126e-9b24-4c2c-9739-3e9975b5235e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d5126e-9b24-4c2c-9739-3e9975b5235e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15d9474f-1ff0-4fba-9055-e3c13f21a147' class='xr-var-data-in' type='checkbox'><label for='data-15d9474f-1ff0-4fba-9055-e3c13f21a147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 163.66 MiB </td>\n",
" <td> 333.12 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (6540, 6560) </td>\n",
" <td> (13, 6560) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 504 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"169\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"\n",
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"\n",
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"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"139.634146\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >6560</text>\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 6560), meta=np.ndarray&gt;</div><input id='attrs-d9b2ada9-413d-418b-badc-c1baeec9b04b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9b2ada9-413d-418b-badc-c1baeec9b04b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4290f81-00e3-4d14-8a18-97cbbb38edbe' class='xr-var-data-in' type='checkbox'><label for='data-d4290f81-00e3-4d14-8a18-97cbbb38edbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
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" \n",
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" <td> (1,) </td>\n",
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" <tr>\n",
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" cftime.DatetimeNoLeap(2014, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.DatetimeNoLeap(2014, 1, 3, 12, 0, 0, 0, has_year_zero=True)],\n",
" dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c5f4ad1e-075f-4c13-b68a-27ae9c827d35' class='xr-section-summary-in' type='checkbox' ><label for='section-c5f4ad1e-075f-4c13-b68a-27ae9c827d35' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>corstrx</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 13, 6560), meta=np.ndarray&gt;</div><input id='attrs-573978d8-3d9c-46a7-af4c-ae568cee8493' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-573978d8-3d9c-46a7-af4c-ae568cee8493' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0daafbbf-599b-40cd-9208-5e333a254b0c' class='xr-var-data-in' type='checkbox'><label for='data-0daafbbf-599b-40cd-9208-5e333a254b0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 40 s)</dd><dt><span>interval_operation :</span></dt><dd>40 s</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>long_name :</span></dt><dd>Coriolis force term in force balance (x-component)</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>standard_name :</span></dt><dd>coriolis_force_on_sea_ice_x</dd><dt><span>units :</span></dt><dd>N/m2</dd></dl></div><div class='xr-var-data'><table>\n",
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"\n",
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"\n",
" <!-- Horizontal lines -->\n",
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"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
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"\n",
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