access_hycom50_surf_01.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "specific-broadway",
   "metadata": {},
   "outputs": [],
   "source": [
    "import s3fs\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "welcome-timing",
   "metadata": {},
   "outputs": [],
   "source": [
    "endpoint_url = 'https://ncsa.osn.xsede.org'\n",
    "fs_osn = s3fs.S3FileSystem(anon=True, client_kwargs={'endpoint_url': endpoint_url},)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "alone-giving",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.Dataset>\n",
      "Dimensions:    (lat: 615, lon: 503, time: 696)\n",
      "Coordinates:\n",
      "  * time       (time) object 0020-02-02 01:00:00 ... 0020-03-02 00:00:00\n",
      "Dimensions without coordinates: lat, lon\n",
      "Data variables:\n",
      "    latitude   (lat) float32 dask.array<chunksize=(615,), meta=np.ndarray>\n",
      "    longitude  (lon) float32 dask.array<chunksize=(503,), meta=np.ndarray>\n",
      "    ssh        (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    sss        (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    sst        (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    tauewd     (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    taunwd     (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    uu1        (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n",
      "    vv1        (time, lat, lon) float32 dask.array<chunksize=(24, 615, 503), meta=np.ndarray>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/coding/times.py:527: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
      "  dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)\n",
      "/srv/conda/envs/notebook/lib/python3.8/site-packages/numpy/core/_asarray.py:102: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
      "  return array(a, dtype, copy=False, order=order)\n"
     ]
    }
   ],
   "source": [
    "root_path = 's3://Pangeo/pangeo-forge/swot_adac/HYCOM50/surf_01.zarr'\n",
    "zarr_dataset = xr.open_zarr(fs_osn.get_mapper(root_path), consolidated=True)\n",
    "print(zarr_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "overhead-valuation",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:notebook] *",
   "language": "python",
   "name": "conda-env-notebook-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}