big_data_local.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "competitive-metallic",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "satisfactory-adobe",
   "metadata": {},
   "outputs": [],
   "source": [
    "tos_file_list = glob.glob('/Users/z3526123/Downloads/data/tos*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "golden-marble",
   "metadata": {},
   "outputs": [],
   "source": [
    "tos_file_list.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "written-contrary",
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       "['/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_18500101-18591231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_18600101-18691231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_18700101-18791231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_18800101-18891231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_18900101-18991231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19000101-19091231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19100101-19191231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19200101-19291231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19300101-19391231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19400101-19491231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19500101-19591231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19600101-19691231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19700101-19791231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19800101-19891231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_19900101-19991231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_20000101-20091231.nc',\n",
       " '/Users/z3526123/Downloads/data/tos_Oday_ACCESS-CM2_historical_r1i1p1f1_gn_20100101-20141231.nc']"
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     "execution_count": 4,
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   "source": [
    "tos_file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "spoken-revolution",
   "metadata": {},
   "outputs": [
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     "text": [
      "<xarray.Dataset>\n",
      "Dimensions:             (bnds: 2, i: 360, j: 300, time: 7305, vertices: 4)\n",
      "Coordinates:\n",
      "  * time                (time) datetime64[ns] 1850-01-01T12:00:00 ... 1869-12...\n",
      "  * j                   (j) int32 0 1 2 3 4 5 6 ... 293 294 295 296 297 298 299\n",
      "  * i                   (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359\n",
      "    latitude            (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "    longitude           (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "Dimensions without coordinates: bnds, vertices\n",
      "Data variables:\n",
      "    time_bnds           (time, bnds) datetime64[ns] dask.array<chunksize=(3652, 2), meta=np.ndarray>\n",
      "    vertices_latitude   (time, j, i, vertices) float64 dask.array<chunksize=(3652, 300, 360, 4), meta=np.ndarray>\n",
      "    vertices_longitude  (time, j, i, vertices) float64 dask.array<chunksize=(3652, 300, 360, 4), meta=np.ndarray>\n",
      "    tos                 (time, j, i) float32 dask.array<chunksize=(3652, 300, 360), meta=np.ndarray>\n",
      "Attributes:\n",
      "    Conventions:            CF-1.7 CMIP-6.2\n",
      "    activity_id:            CMIP\n",
      "    branch_method:          standard\n",
      "    branch_time_in_child:   0.0\n",
      "    branch_time_in_parent:  0.0\n",
      "    creation_date:          2019-11-08T18:23:57Z\n",
      "    data_specs_version:     01.00.30\n",
      "    experiment:             all-forcing simulation of the recent past\n",
      "    experiment_id:          historical\n",
      "    external_variables:     areacello\n",
      "    forcing_index:          1\n",
      "    frequency:              day\n",
      "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n",
      "    grid:                   native atmosphere N96 grid (144x192 latxlon)\n",
      "    grid_label:             gn\n",
      "    history:                2019-11-08T18:23:57Z ; CMOR rewrote data to be co...\n",
      "    initialization_index:   1\n",
      "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
      "    institution_id:         CSIRO-ARCCSS\n",
      "    mip_era:                CMIP6\n",
      "    nominal_resolution:     250 km\n",
      "    notes:                  Exp: CM2-historical; Local ID: bj594; Variable: t...\n",
      "    parent_activity_id:     CMIP\n",
      "    parent_experiment_id:   piControl\n",
      "    parent_mip_era:         CMIP6\n",
      "    parent_source_id:       ACCESS-CM2\n",
      "    parent_time_units:      days since 0950-01-01\n",
      "    parent_variant_label:   r1i1p1f1\n",
      "    physics_index:          1\n",
      "    product:                model-output\n",
      "    realization_index:      1\n",
      "    realm:                  ocean\n",
      "    run_variant:            forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n",
      "    source:                 ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n",
      "    source_id:              ACCESS-CM2\n",
      "    source_type:            AOGCM\n",
      "    sub_experiment:         none\n",
      "    sub_experiment_id:      none\n",
      "    table_id:               Oday\n",
      "    table_info:             Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n",
      "    title:                  ACCESS-CM2 output prepared for CMIP6\n",
      "    variable_id:            tos\n",
      "    variant_label:          r1i1p1f1\n",
      "    version:                v20191108\n",
      "    cmor_version:           3.4.0\n",
      "    tracking_id:            hdl:21.14100/45e464ff-5f78-4b7b-8924-f3bc8c5c002e\n",
      "    license:                CMIP6 model data produced by CSIRO is licensed un...\n"
     ]
    }
   ],
   "source": [
    "dset = xr.open_mfdataset(tos_file_list[0:2], combine='by_coords')\n",
    "print(dset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "innocent-involvement",
   "metadata": {},
   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'tos' (time: 7305, j: 300, i: 360)>\n",
      "dask.array<concatenate, shape=(7305, 300, 360), dtype=float32, chunksize=(3653, 300, 360), chunktype=numpy.ndarray>\n",
      "Coordinates:\n",
      "  * time       (time) datetime64[ns] 1850-01-01T12:00:00 ... 1869-12-31T12:00:00\n",
      "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
      "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
      "    latitude   (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "    longitude  (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "Attributes:\n",
      "    standard_name:  sea_surface_temperature\n",
      "    long_name:      Sea Surface Temperature\n",
      "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
      "    units:          degC\n",
      "    cell_methods:   area: mean where sea time: mean\n",
      "    cell_measures:  area: areacello\n",
      "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va...\n"
     ]
    }
   ],
   "source": [
    "print(dset['tos'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "martial-nitrogen",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'tos' (j: 300, i: 360)>\n",
      "dask.array<nanmax-aggregate, shape=(300, 360), dtype=float32, chunksize=(300, 360), chunktype=numpy.ndarray>\n",
      "Coordinates:\n",
      "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
      "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
      "    latitude   (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "    longitude  (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>\n",
      "Attributes:\n",
      "    standard_name:  sea_surface_temperature\n",
      "    long_name:      Sea Surface Temperature\n",
      "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
      "    units:          degC\n",
      "    cell_methods:   area: mean where sea time: mean\n",
      "    cell_measures:  area: areacello\n",
      "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va...\n"
     ]
    }
   ],
   "source": [
    "tos_max = dset['tos'].max('time', keep_attrs=True)\n",
    "print(tos_max)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 11,
   "id": "statistical-vanilla",
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      "/Users/z3526123/opt/anaconda3/envs/pyaos-lesson/lib/python3.8/site-packages/dask/utils.py:30: RuntimeWarning: All-NaN slice encountered\n",
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      "CPU times: user 15.4 s, sys: 2.3 s, total: 17.7 s\n",
      "Wall time: 15.8 s\n"
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      "/Users/z3526123/opt/anaconda3/envs/pyaos-lesson/lib/python3.8/site-packages/dask/core.py:121: RuntimeWarning: All-NaN slice encountered\n",
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       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tos&#x27; (j: 300, i: 360)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
       "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
       "    latitude   (j, i) float64 -77.88 -77.88 -77.88 -77.88 ... 66.04 65.63 65.21\n",
       "    longitude  (j, i) float64 80.5 81.5 82.5 83.5 ... 79.94 79.96 79.97 79.99\n",
       "Attributes:\n",
       "    standard_name:  sea_surface_temperature\n",
       "    long_name:      Sea Surface Temperature\n",
       "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
       "    units:          degC\n",
       "    cell_methods:   area: mean where sea time: mean\n",
       "    cell_measures:  area: areacello\n",
       "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tos'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>j</span>: 300</li><li><span class='xr-has-index'>i</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dc75da8c-ceb1-4d6e-b841-eb91cb7a2777' class='xr-array-in' type='checkbox' checked><label for='section-dc75da8c-ceb1-4d6e-b841-eb91cb7a2777' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c6960bad-ce04-4777-846e-f0709186d32f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6960bad-ce04-4777-846e-f0709186d32f' 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 class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 295 296 297 298 299</div><input id='attrs-c67a5b9c-5c7c-408a-80fd-69a9f6b3dbff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c67a5b9c-5c7c-408a-80fd-69a9f6b3dbff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-810d42d7-0640-4805-8d92-5a03e06edc91' class='xr-var-data-in' type='checkbox'><label for='data-810d42d7-0640-4805-8d92-5a03e06edc91' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along second dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 297, 298, 299], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-b7d52ded-c8b9-4000-a7e5-fde9fc8e0a86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7d52ded-c8b9-4000-a7e5-fde9fc8e0a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dbf05e4-2cc4-4712-aaae-06d35fece157' class='xr-var-data-in' type='checkbox'><label for='data-3dbf05e4-2cc4-4712-aaae-06d35fece157' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along first dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 357, 358, 359], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.88 -77.88 ... 65.63 65.21</div><input id='attrs-2a4f63f2-165f-440f-93c3-f7ea20bc014e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a4f63f2-165f-440f-93c3-f7ea20bc014e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c01c2523-a30e-432e-bc31-1c2932fa3129' class='xr-var-data-in' type='checkbox'><label for='data-c01c2523-a30e-432e-bc31-1c2932fa3129' 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><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-77.87662338, -77.87662338, -77.87662338, ..., -77.87662338,\n",
       "        -77.87662338, -77.87662338],\n",
       "       [-77.6297134 , -77.6297134 , -77.6297134 , ..., -77.6297134 ,\n",
       "        -77.6297134 , -77.6297134 ],\n",
       "       [-77.38170671, -77.38170671, -77.38170671, ..., -77.38170671,\n",
       "        -77.38170671, -77.38170671],\n",
       "       ...,\n",
       "       [ 65.20965413,  65.62409039,  66.03219689, ...,  66.03219689,\n",
       "         65.62409039,  65.20965413],\n",
       "       [ 65.21018119,  65.62564754,  66.0347538 , ...,  66.0347538 ,\n",
       "         65.62564754,  65.21018119],\n",
       "       [ 65.21044485,  65.62642645,  66.03603278, ...,  66.03603278,\n",
       "         65.62642645,  65.21044485]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>80.5 81.5 82.5 ... 79.97 79.99</div><input id='attrs-d5f12914-c242-415c-b703-05c0194a9d85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f12914-c242-415c-b703-05c0194a9d85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf96a11f-2acd-48ca-9bfd-3860fd6c06ac' class='xr-var-data-in' type='checkbox'><label for='data-cf96a11f-2acd-48ca-9bfd-3860fd6c06ac' 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><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       [80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       [80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       ...,\n",
       "       [80.04428052, 80.13286833, 80.22153653, ..., 79.77846347,\n",
       "        79.86713167, 79.95571948],\n",
       "       [80.02659156, 80.07979084, 80.13303864, ..., 79.86696136,\n",
       "        79.92020916, 79.97340844],\n",
       "       [80.00887691, 80.02663615, 80.04441162, ..., 79.95558838,\n",
       "        79.97336385, 79.99112309]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9becfbca-eb09-43b9-8c46-df2649cad7a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9becfbca-eb09-43b9-8c46-df2649cad7a0' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>Temperature of upper boundary of the liquid ocean, including temperatures below sea-ice and floating ice shelves.</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2019-11-08T18:23:54Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tos' (j: 300, i: 360)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
       "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
       "    latitude   (j, i) float64 -77.88 -77.88 -77.88 -77.88 ... 66.04 65.63 65.21\n",
       "    longitude  (j, i) float64 80.5 81.5 82.5 83.5 ... 79.94 79.96 79.97 79.99\n",
       "Attributes:\n",
       "    standard_name:  sea_surface_temperature\n",
       "    long_name:      Sea Surface Temperature\n",
       "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
       "    units:          degC\n",
       "    cell_methods:   area: mean where sea time: mean\n",
       "    cell_measures:  area: areacello\n",
       "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "tos_max.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "executed-longitude",
   "metadata": {},
   "outputs": [
    {
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       "  <text x=\"93.294544\" y=\"116.000852\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >360</text>\n",
       "  <text x=\"126.000852\" y=\"83.294544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,126.000852,83.294544)\">300</text>\n",
       "  <text x=\"35.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,80.706734)\">60265</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<concatenate, shape=(60265, 300, 360), dtype=float32, chunksize=(3653, 300, 360), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset['tos'].data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "outstanding-endorsement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Client</h3>\n",
       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:64652</li>\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a></li>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
       "  <li><b>Workers: </b>4</li>\n",
       "  <li><b>Cores: </b>4</li>\n",
       "  <li><b>Memory: </b>17.18 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:64652' processes=4 threads=4, memory=17.18 GB>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "consolidated-pottery",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting\n",
      "distributed.nanny - WARNING - Restarting worker\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 24.6 s, sys: 4.26 s, total: 28.8 s\n",
      "Wall time: 8min 23s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "maximum = tos_max.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "capable-postcard",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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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;tos&#x27; (j: 300, i: 360)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
       "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
       "    latitude   (j, i) float64 -77.88 -77.88 -77.88 -77.88 ... 66.04 65.63 65.21\n",
       "    longitude  (j, i) float64 80.5 81.5 82.5 83.5 ... 79.94 79.96 79.97 79.99\n",
       "Attributes:\n",
       "    standard_name:  sea_surface_temperature\n",
       "    long_name:      Sea Surface Temperature\n",
       "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
       "    units:          degC\n",
       "    cell_methods:   area: mean where sea time: mean\n",
       "    cell_measures:  area: areacello\n",
       "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tos'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>j</span>: 300</li><li><span class='xr-has-index'>i</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cb7cf87b-fe17-4240-96c8-b2388f07c281' class='xr-array-in' type='checkbox' checked><label for='section-cb7cf87b-fe17-4240-96c8-b2388f07c281' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e98976c2-b9c6-43b8-9b81-1ff5f5006b61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e98976c2-b9c6-43b8-9b81-1ff5f5006b61' 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 class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 295 296 297 298 299</div><input id='attrs-85874153-157e-4fe0-9157-5e4f6a823a8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85874153-157e-4fe0-9157-5e4f6a823a8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb154d13-bb54-4d8a-b48e-9f21108cd2c2' class='xr-var-data-in' type='checkbox'><label for='data-eb154d13-bb54-4d8a-b48e-9f21108cd2c2' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along second dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 297, 298, 299], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-9bc1ed99-5e58-483f-8e57-d8a0831f22eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bc1ed99-5e58-483f-8e57-d8a0831f22eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-522dfa6b-37ea-4e23-a3a5-f23ffbb899fa' class='xr-var-data-in' type='checkbox'><label for='data-522dfa6b-37ea-4e23-a3a5-f23ffbb899fa' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along first dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 357, 358, 359], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.88 -77.88 ... 65.63 65.21</div><input id='attrs-e14731d4-3381-4179-9d04-1541c7fb04b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e14731d4-3381-4179-9d04-1541c7fb04b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b95f56c-f187-4d54-a23f-eece6ba9802b' class='xr-var-data-in' type='checkbox'><label for='data-4b95f56c-f187-4d54-a23f-eece6ba9802b' 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><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-77.87662338, -77.87662338, -77.87662338, ..., -77.87662338,\n",
       "        -77.87662338, -77.87662338],\n",
       "       [-77.6297134 , -77.6297134 , -77.6297134 , ..., -77.6297134 ,\n",
       "        -77.6297134 , -77.6297134 ],\n",
       "       [-77.38170671, -77.38170671, -77.38170671, ..., -77.38170671,\n",
       "        -77.38170671, -77.38170671],\n",
       "       ...,\n",
       "       [ 65.20965413,  65.62409039,  66.03219689, ...,  66.03219689,\n",
       "         65.62409039,  65.20965413],\n",
       "       [ 65.21018119,  65.62564754,  66.0347538 , ...,  66.0347538 ,\n",
       "         65.62564754,  65.21018119],\n",
       "       [ 65.21044485,  65.62642645,  66.03603278, ...,  66.03603278,\n",
       "         65.62642645,  65.21044485]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>80.5 81.5 82.5 ... 79.97 79.99</div><input id='attrs-7a429ca3-e545-4252-8cfc-539b8e6cc8d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a429ca3-e545-4252-8cfc-539b8e6cc8d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94b8b4c1-8ed5-4964-be13-43d301931602' class='xr-var-data-in' type='checkbox'><label for='data-94b8b4c1-8ed5-4964-be13-43d301931602' 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><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       [80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       [80.5       , 81.5       , 82.5       , ..., 77.5       ,\n",
       "        78.5       , 79.5       ],\n",
       "       ...,\n",
       "       [80.04428052, 80.13286833, 80.22153653, ..., 79.77846347,\n",
       "        79.86713167, 79.95571948],\n",
       "       [80.02659156, 80.07979084, 80.13303864, ..., 79.86696136,\n",
       "        79.92020916, 79.97340844],\n",
       "       [80.00887691, 80.02663615, 80.04441162, ..., 79.95558838,\n",
       "        79.97336385, 79.99112309]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58a34086-b000-4cf7-86e0-f8ee6fe498d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58a34086-b000-4cf7-86e0-f8ee6fe498d6' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>Temperature of upper boundary of the liquid ocean, including temperatures below sea-ice and floating ice shelves.</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2019-11-08T18:23:54Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tos' (j: 300, i: 360)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 292 293 294 295 296 297 298 299\n",
       "  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
       "    latitude   (j, i) float64 -77.88 -77.88 -77.88 -77.88 ... 66.04 65.63 65.21\n",
       "    longitude  (j, i) float64 80.5 81.5 82.5 83.5 ... 79.94 79.96 79.97 79.99\n",
       "Attributes:\n",
       "    standard_name:  sea_surface_temperature\n",
       "    long_name:      Sea Surface Temperature\n",
       "    comment:        Temperature of upper boundary of the liquid ocean, includ...\n",
       "    units:          degC\n",
       "    cell_methods:   area: mean where sea time: mean\n",
       "    cell_measures:  area: areacello\n",
       "    history:        2019-11-08T18:23:54Z altered by CMOR: replaced missing va..."
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maximum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "intensive-liquid",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "spatial_max = dset['tos'].max(['j', 'i'], keep_attrs=True)"
   ]
  }
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