landcover_from_init_nc.ipynb

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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 520MB\n",
       "Dimensions:           (time: 1, sc_r: 5, sc_w: 6, erho: 1017, xrho: 1317,\n",
       "                       eu: 1017, xu: 1316, ev: 1016, xv: 1317, Nbed: 1, Nveg: 3)\n",
       "Coordinates:\n",
       "  * sc_r              (sc_r) float64 40B -0.9 -0.7 -0.5 -0.3 -0.1\n",
       "  * sc_w              (sc_w) float64 48B -1.0 -0.8 -0.6 -0.4 -0.2 0.0\n",
       "Dimensions without coordinates: time, erho, xrho, eu, xu, ev, xv, Nbed, Nveg\n",
       "Data variables: (12/40)\n",
       "    spherical         (time) int16 2B ...\n",
       "    Vtransform        (time) int32 4B ...\n",
       "    Vstretching       (time) int32 4B ...\n",
       "    theta_b           (time) float64 8B ...\n",
       "    theta_s           (time) float64 8B ...\n",
       "    Tcline            (time) float64 8B ...\n",
       "    ...                ...\n",
       "    dmix_time         (time, erho, xrho) timedelta64[ns] 11MB ...\n",
       "    plant_height      (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_density     (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_diameter    (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_thickness   (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    marsh_mask        (time, Nveg, erho, xrho) float64 32MB ...\n",
       "Attributes:\n",
       "    history:  Created by updatclim on 25-Apr-2022 10:51:03\n",
       "    type:     initial forcing file from http://hycom.coaps.fsu.edu:8080/thred...</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-fb715cc5-710b-4b98-9e18-07ffc28fbf35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb715cc5-710b-4b98-9e18-07ffc28fbf35' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span class='xr-has-index'>sc_r</span>: 5</li><li><span class='xr-has-index'>sc_w</span>: 6</li><li><span>erho</span>: 1017</li><li><span>xrho</span>: 1317</li><li><span>eu</span>: 1017</li><li><span>xu</span>: 1316</li><li><span>ev</span>: 1016</li><li><span>xv</span>: 1317</li><li><span>Nbed</span>: 1</li><li><span>Nveg</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3e3ba322-0335-4817-bf64-23c264ab33d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e3ba322-0335-4817-bf64-23c264ab33d9' class='xr-section-summary' >Coordinates: <span>(2)</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'>sc_r</span></div><div class='xr-var-dims'>(sc_r)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.9 -0.7 -0.5 -0.3 -0.1</div><input id='attrs-5fcd5bd4-d004-4d4f-96e5-d5f086b610c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fcd5bd4-d004-4d4f-96e5-d5f086b610c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31a9972e-dc00-4d8b-b741-661e534cd56d' class='xr-var-data-in' type='checkbox'><label for='data-31a9972e-dc00-4d8b-b741-661e534cd56d' 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>S-coordinate at RHO-points</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>sc_r, scalar</dd></dl></div><div class='xr-var-data'><pre>array([-0.9, -0.7, -0.5, -0.3, -0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sc_w</span></div><div class='xr-var-dims'>(sc_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.8 -0.6 -0.4 -0.2 0.0</div><input id='attrs-112b4a2d-d815-47a4-a1df-3171d0499c8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-112b4a2d-d815-47a4-a1df-3171d0499c8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac58a120-ef4c-4758-8d0c-6f217dd922b5' class='xr-var-data-in' type='checkbox'><label for='data-ac58a120-ef4c-4758-8d0c-6f217dd922b5' 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>S-coordinate at W-points</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>sc_w, scalar</dd></dl></div><div class='xr-var-data'><pre>array([-1. , -0.8, -0.6, -0.4, -0.2,  0. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e97368e0-53b2-4048-b43f-82ce446a9f6f' class='xr-section-summary-in' type='checkbox'  ><label for='section-e97368e0-53b2-4048-b43f-82ce446a9f6f' class='xr-section-summary' >Data variables: <span>(40)</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>spherical</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b596386b-c280-4768-b4f4-93f4e97c35bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b596386b-c280-4768-b4f4-93f4e97c35bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15ec050-7eb0-4a94-95f7-e391ea325a7d' class='xr-var-data-in' type='checkbox'><label for='data-c15ec050-7eb0-4a94-95f7-e391ea325a7d' 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>grid type logical switch</dd><dt><span>flag_meanings :</span></dt><dd>spherical Cartesian</dd><dt><span>flag_values :</span></dt><dd>1, 0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vtransform</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63ee44a6-9318-413f-b070-8935a7a25a9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63ee44a6-9318-413f-b070-8935a7a25a9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f4091ae-03f7-4b02-b86b-31433da15932' class='xr-var-data-in' type='checkbox'><label for='data-7f4091ae-03f7-4b02-b86b-31433da15932' 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>vertical terrain-following transformation equation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vstretching</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7537f92-4e3c-4425-b60b-d270cae6f1dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7537f92-4e3c-4425-b60b-d270cae6f1dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2af63248-b28d-4071-9aa1-27f978d77610' class='xr-var-data-in' type='checkbox'><label for='data-2af63248-b28d-4071-9aa1-27f978d77610' 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>vertical terrain-following stretching function</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_b</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5176f10-8eca-4317-a3e9-4162a13f63ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5176f10-8eca-4317-a3e9-4162a13f63ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8bcdc56-e7bd-4025-bded-db9c0805bbbc' class='xr-var-data-in' type='checkbox'><label for='data-d8bcdc56-e7bd-4025-bded-db9c0805bbbc' 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>S-coordinate bottom control parameter</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_s</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad185160-f478-4756-9ece-b8492871d2c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad185160-f478-4756-9ece-b8492871d2c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e2cf4d-a75d-4c35-8777-97a2e8da3a2a' class='xr-var-data-in' type='checkbox'><label for='data-32e2cf4d-a75d-4c35-8777-97a2e8da3a2a' 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>S-coordinate surface control parameter</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcline</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9374648-c701-492b-a869-49c7feb933b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9374648-c701-492b-a869-49c7feb933b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8a599e0-6258-4dc1-ad53-c42575ffa8e9' class='xr-var-data-in' type='checkbox'><label for='data-e8a599e0-6258-4dc1-ad53-c42575ffa8e9' 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>S-coordinate surface/bottom layer width</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-747eb57c-cce9-4d19-9628-3f36ae5e2c1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-747eb57c-cce9-4d19-9628-3f36ae5e2c1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce09e2f-41e0-4093-8bc5-ef02702ba598' class='xr-var-data-in' type='checkbox'><label for='data-6ce09e2f-41e0-4093-8bc5-ef02702ba598' 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>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(sc_r)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a9eac28-2aa5-4ba4-a07a-6a41722e6169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a9eac28-2aa5-4ba4-a07a-6a41722e6169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c5e1cbd-29e0-4824-9b67-2729c8dd5b8a' class='xr-var-data-in' type='checkbox'><label for='data-3c5e1cbd-29e0-4824-9b67-2729c8dd5b8a' 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>S-coordinate stretching curves at RHO-points</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_r, scalar</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_w</span></div><div class='xr-var-dims'>(sc_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e6f2f03-d58d-4069-aad8-d5394c4df682' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e6f2f03-d58d-4069-aad8-d5394c4df682' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0a6c614-0da0-4b40-b17f-bed9d5bf5afa' class='xr-var-data-in' type='checkbox'><label for='data-a0a6c614-0da0-4b40-b17f-bed9d5bf5afa' 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>S-coordinate stretching curves at W-points</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_w, scalar</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f039a875-cdaf-46e7-bf49-310a96932282' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f039a875-cdaf-46e7-bf49-310a96932282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-369ea64f-fbb4-4fa0-8dfa-721c660e1456' class='xr-var-data-in' type='checkbox'><label for='data-369ea64f-fbb4-4fa0-8dfa-721c660e1456' 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>time since initialization</dd><dt><span>field :</span></dt><dd>ocean_time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, sc_r, erho, xrho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-816c4bbb-94a0-446d-8934-7e572de50609' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-816c4bbb-94a0-446d-8934-7e572de50609' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3084247-c587-4877-8e4e-c764d5dd575a' class='xr-var-data-in' type='checkbox'><label for='data-a3084247-c587-4877-8e4e-c764d5dd575a' 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>salinity</dd><dt><span>units :</span></dt><dd>PSU</dd><dt><span>field :</span></dt><dd>salinity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[6696945 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, sc_r, erho, xrho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa807257-14a7-4004-8a8f-03a12795d66c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa807257-14a7-4004-8a8f-03a12795d66c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72cce425-8813-4a92-9d58-9c107da6566c' class='xr-var-data-in' type='checkbox'><label for='data-72cce425-8813-4a92-9d58-9c107da6566c' 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>temperature</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>field :</span></dt><dd>temperature, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[6696945 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, sc_r, eu, xu)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29879734-284e-42fb-a8a6-f305c1254411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29879734-284e-42fb-a8a6-f305c1254411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4be977-2340-46d8-a25f-73b2ede959a2' class='xr-var-data-in' type='checkbox'><label for='data-dc4be977-2340-46d8-a25f-73b2ede959a2' 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>u-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>field :</span></dt><dd>u-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[6691860 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ubar</span></div><div class='xr-var-dims'>(time, eu, xu)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f720b658-6411-4640-9cad-27eb9af27b38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f720b658-6411-4640-9cad-27eb9af27b38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8339752b-9d3d-4e48-9b60-67ddba74356b' class='xr-var-data-in' type='checkbox'><label for='data-8339752b-9d3d-4e48-9b60-67ddba74356b' 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>vertically integrated u-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>field :</span></dt><dd>ubar-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1338372 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, sc_r, ev, xv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-162da404-703b-4b90-97e3-bb60fdd66636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-162da404-703b-4b90-97e3-bb60fdd66636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25c48d25-c34c-4571-b5ee-6d11a0ecf800' class='xr-var-data-in' type='checkbox'><label for='data-25c48d25-c34c-4571-b5ee-6d11a0ecf800' 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>v-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>field :</span></dt><dd>v-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[6690360 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vbar</span></div><div class='xr-var-dims'>(time, ev, xv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffd34f7d-7222-4c55-a5f1-4fa357475056' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffd34f7d-7222-4c55-a5f1-4fa357475056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a85170b-8220-4233-a850-861eae7edab3' class='xr-var-data-in' type='checkbox'><label for='data-4a85170b-8220-4233-a850-861eae7edab3' 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>vertically integrated v-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>field :</span></dt><dd>vbar-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1338072 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7cd6662-b1ad-4e83-b732-4c6363162cd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7cd6662-b1ad-4e83-b732-4c6363162cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29c9718a-e322-422b-ad45-8b7f1a710466' class='xr-var-data-in' type='checkbox'><label for='data-29c9718a-e322-422b-ad45-8b7f1a710466' 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>free-surface</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sand_01</span></div><div class='xr-var-dims'>(time, sc_r, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b08238f-afb6-49d6-a547-70af15ed85dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b08238f-afb6-49d6-a547-70af15ed85dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20b326e7-994c-443e-8e05-a71f7b14be49' class='xr-var-data-in' type='checkbox'><label for='data-20b326e7-994c-443e-8e05-a71f7b14be49' 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>suspended noncohesive sediment, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>sand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[6696945 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandfrac_01</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68255129-1477-4da7-aa26-d575e8a9c062' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68255129-1477-4da7-aa26-d575e8a9c062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-339dd30e-1729-49dd-9728-ba44ae8abd0a' class='xr-var-data-in' type='checkbox'><label for='data-339dd30e-1729-49dd-9728-ba44ae8abd0a' 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>noncohesive sediment fraction, size class 01</dd><dt><span>units :</span></dt><dd>nondimensional</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>sandfrac_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandmass_01</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4c884d3-d6d3-4182-ae92-72f32ebeb1c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4c884d3-d6d3-4182-ae92-72f32ebeb1c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d39f76d-6d3a-4d9e-b8b2-ad76f0f2a5d2' class='xr-var-data-in' type='checkbox'><label for='data-5d39f76d-6d3a-4d9e-b8b2-ad76f0f2a5d2' 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>noncohesive sediment mass, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>sandmass_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_01</span></div><div class='xr-var-dims'>(time, eu, xu)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97810b62-b7e6-48a3-bf0e-16616db3a9dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97810b62-b7e6-48a3-bf0e-16616db3a9dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e11abd96-cca1-4015-9e30-350f4465f2c5' class='xr-var-data-in' type='checkbox'><label for='data-e11abd96-cca1-4015-9e30-350f4465f2c5' 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>bed load flux of sand in U-direction, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bedload_Usand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1338372 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_01</span></div><div class='xr-var-dims'>(time, ev, xv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b22498f5-f38d-4ade-8539-728245df9305' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b22498f5-f38d-4ade-8539-728245df9305' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f527f714-c370-46ea-a750-33c11c24e251' class='xr-var-data-in' type='checkbox'><label for='data-f527f714-c370-46ea-a750-33c11c24e251' 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>bed load flux of sand in V-direction, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bedload_Vsand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1338072 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_thickness</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1820f087-f0c7-4df6-937f-39a63011fcc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1820f087-f0c7-4df6-937f-39a63011fcc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1f019af-c802-4b34-8c2d-0cbcba6cdc7a' class='xr-var-data-in' type='checkbox'><label for='data-d1f019af-c802-4b34-8c2d-0cbcba6cdc7a' 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>sediment layer thickness</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bed thickness, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_age</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bafe6083-db0e-45e3-9701-eca40a0d154f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bafe6083-db0e-45e3-9701-eca40a0d154f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e857abc-85c6-4c57-95c4-715304f9620f' class='xr-var-data-in' type='checkbox'><label for='data-4e857abc-85c6-4c57-95c4-715304f9620f' 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>sediment layer age</dd><dt><span>units :</span></dt><dd>day</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bed age, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_porosity</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4667593-07e1-4d26-ba3e-58760eeafd20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4667593-07e1-4d26-ba3e-58760eeafd20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c2dd148-ed3b-46e3-aa87-1b777f212a9b' class='xr-var-data-in' type='checkbox'><label for='data-0c2dd148-ed3b-46e3-aa87-1b777f212a9b' 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>sediment layer porosity</dd><dt><span>units :</span></dt><dd>nondimensional</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bed porosity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_biodiff</span></div><div class='xr-var-dims'>(time, Nbed, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2cf191b2-4e78-45ce-aa17-ef531b47ea93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cf191b2-4e78-45ce-aa17-ef531b47ea93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0fa0d15-ab2d-43d5-a747-4205e2e7227b' class='xr-var-data-in' type='checkbox'><label for='data-d0fa0d15-ab2d-43d5-a747-4205e2e7227b' 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>biodiffusivity at bottom of each layer</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>bed biodiffusivity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_diameter</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cd76191-576c-4f56-b625-05c50ff8f448' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cd76191-576c-4f56-b625-05c50ff8f448' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe833df-46f7-43e0-9f4e-60254af3a25f' class='xr-var-data-in' type='checkbox'><label for='data-7fe833df-46f7-43e0-9f4e-60254af3a25f' 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>sediment median grain diameter size</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>grain diameter, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_density</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6bea63e-f556-4d47-8cf9-75bba7928edd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6bea63e-f556-4d47-8cf9-75bba7928edd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ee1b2e4-3528-49da-986c-37aa26b66b92' class='xr-var-data-in' type='checkbox'><label for='data-9ee1b2e4-3528-49da-986c-37aa26b66b92' 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>sediment median grain density</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>grain density, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>settling_vel</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e3c70ac-e27f-43bf-b9cb-59e72a52b6eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e3c70ac-e27f-43bf-b9cb-59e72a52b6eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3112c9e7-1a5f-4bf4-aeab-935f8b37a5e0' class='xr-var-data-in' type='checkbox'><label for='data-3112c9e7-1a5f-4bf4-aeab-935f8b37a5e0' 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>sediment median grain settling velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>settling vel, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>erosion_stress</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d98a808-8271-4e2c-bd61-ee07c4b9f69d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d98a808-8271-4e2c-bd61-ee07c4b9f69d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f4da9ea-6068-493d-a223-3d2b45f81c37' class='xr-var-data-in' type='checkbox'><label for='data-0f4da9ea-6068-493d-a223-3d2b45f81c37' 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>sediment median critical erosion stress</dd><dt><span>units :</span></dt><dd>meter2 second-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>erosion stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ripple_length</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-279336b9-7473-47e4-98a2-4f541ca0d4eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-279336b9-7473-47e4-98a2-4f541ca0d4eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbbf96b-a576-4249-8129-cc5f02c84fed' class='xr-var-data-in' type='checkbox'><label for='data-4dbbf96b-a576-4249-8129-cc5f02c84fed' 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>bottom ripple length</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>ripple length, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ripple_height</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c569247-323a-467f-8e3e-80911e269642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c569247-323a-467f-8e3e-80911e269642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f172b817-08d2-463d-b9d0-3da56ef3c3f0' class='xr-var-data-in' type='checkbox'><label for='data-f172b817-08d2-463d-b9d0-3da56ef3c3f0' 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>bottom ripple height</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>ripple height, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dmix_offset</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c0b2ee9-b30e-47dd-b067-5d6e79651885' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c0b2ee9-b30e-47dd-b067-5d6e79651885' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c774538b-3983-4028-8cba-f989dad7a997' class='xr-var-data-in' type='checkbox'><label for='data-c774538b-3983-4028-8cba-f989dad7a997' 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>dmix erodibility profile offset</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>dmix_offset, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dmix_slope</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41319d60-db8b-460e-b0e5-8f9004c500e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41319d60-db8b-460e-b0e5-8f9004c500e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e2089c8-dd78-423c-a494-f6533d0138e0' class='xr-var-data-in' type='checkbox'><label for='data-7e2089c8-dd78-423c-a494-f6533d0138e0' 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>dmix erodibility profile slope</dd><dt><span>units :</span></dt><dd>_</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>dmix_slope, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dmix_time</span></div><div class='xr-var-dims'>(time, erho, xrho)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-deacc522-cacb-435d-b6a7-e0c2371ca6cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deacc522-cacb-435d-b6a7-e0c2371ca6cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f03567d-7e53-4589-a5de-6f1e1a44d1d5' class='xr-var-data-in' type='checkbox'><label for='data-0f03567d-7e53-4589-a5de-6f1e1a44d1d5' 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>dmix erodibility profile time scale</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>dmix_time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[1339389 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_height</span></div><div class='xr-var-dims'>(time, Nveg, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5e8552a-3835-4aae-a1c3-53d4ba23007b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5e8552a-3835-4aae-a1c3-53d4ba23007b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab7d542-108e-4916-8baf-13b5da84b900' class='xr-var-data-in' type='checkbox'><label for='data-0ab7d542-108e-4916-8baf-13b5da84b900' 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>plant height</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_height, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[4018167 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_density</span></div><div class='xr-var-dims'>(time, Nveg, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d32f8c5-98b3-45dd-b70c-0796b316ba64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d32f8c5-98b3-45dd-b70c-0796b316ba64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce3d4e9-246c-42fe-8605-c27bf8c402a2' class='xr-var-data-in' type='checkbox'><label for='data-4ce3d4e9-246c-42fe-8605-c27bf8c402a2' 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>plant density</dd><dt><span>units :</span></dt><dd>plant-meter2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_density, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[4018167 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_diameter</span></div><div class='xr-var-dims'>(time, Nveg, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-177a4347-0b51-4906-a9ad-879b9db1f518' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-177a4347-0b51-4906-a9ad-879b9db1f518' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-520196c2-1512-49b0-9d6b-23fed17a58cb' class='xr-var-data-in' type='checkbox'><label for='data-520196c2-1512-49b0-9d6b-23fed17a58cb' 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>plant diameter</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_diameter, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[4018167 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_thickness</span></div><div class='xr-var-dims'>(time, Nveg, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-175d31b7-4de2-4e8b-892c-6e1eb0481f9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-175d31b7-4de2-4e8b-892c-6e1eb0481f9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b52510-f02b-4137-b136-4ce4b1651108' class='xr-var-data-in' type='checkbox'><label for='data-a2b52510-f02b-4137-b136-4ce4b1651108' 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>plant thickness</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_thickness, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[4018167 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>marsh_mask</span></div><div class='xr-var-dims'>(time, Nveg, erho, xrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ca9f242-66d6-4427-90a9-df1e9cb9449e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ca9f242-66d6-4427-90a9-df1e9cb9449e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e81e2815-ea24-4004-811e-d22a03b88b91' class='xr-var-data-in' type='checkbox'><label for='data-e81e2815-ea24-4004-811e-d22a03b88b91' 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>marsh mask</dd><dt><span>units :</span></dt><dd>nondimensional</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>marsh_mask, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[4018167 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-350bcfa5-74e2-4699-85a2-7bdc7e66eca3' class='xr-section-summary-in' type='checkbox'  ><label for='section-350bcfa5-74e2-4699-85a2-7bdc7e66eca3' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>sc_r</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a58271a0-f34c-4335-bdc8-e3283ef87848' class='xr-index-data-in' type='checkbox'/><label for='index-a58271a0-f34c-4335-bdc8-e3283ef87848' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-0.9, -0.7000000000000001, -0.5, -0.30000000000000004, -0.1], dtype=&#x27;float64&#x27;, name=&#x27;sc_r&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sc_w</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b8219088-9047-49ec-a296-3b8bef22ec8e' class='xr-index-data-in' type='checkbox'/><label for='index-b8219088-9047-49ec-a296-3b8bef22ec8e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1.0, -0.8, -0.6000000000000001, -0.4, -0.2, 0.0], dtype=&#x27;float64&#x27;, name=&#x27;sc_w&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86fde01e-43cf-4eef-9295-6dd2b23f5dfc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86fde01e-43cf-4eef-9295-6dd2b23f5dfc' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>history :</span></dt><dd>Created by updatclim on 25-Apr-2022 10:51:03</dd><dt><span>type :</span></dt><dd>initial forcing file from http://hycom.coaps.fsu.edu:8080/thredds/dodsC/glb_analysis</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 520MB\n",
       "Dimensions:           (time: 1, sc_r: 5, sc_w: 6, erho: 1017, xrho: 1317,\n",
       "                       eu: 1017, xu: 1316, ev: 1016, xv: 1317, Nbed: 1, Nveg: 3)\n",
       "Coordinates:\n",
       "  * sc_r              (sc_r) float64 40B -0.9 -0.7 -0.5 -0.3 -0.1\n",
       "  * sc_w              (sc_w) float64 48B -1.0 -0.8 -0.6 -0.4 -0.2 0.0\n",
       "Dimensions without coordinates: time, erho, xrho, eu, xu, ev, xv, Nbed, Nveg\n",
       "Data variables: (12/40)\n",
       "    spherical         (time) int16 2B ...\n",
       "    Vtransform        (time) int32 4B ...\n",
       "    Vstretching       (time) int32 4B ...\n",
       "    theta_b           (time) float64 8B ...\n",
       "    theta_s           (time) float64 8B ...\n",
       "    Tcline            (time) float64 8B ...\n",
       "    ...                ...\n",
       "    dmix_time         (time, erho, xrho) timedelta64[ns] 11MB ...\n",
       "    plant_height      (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_density     (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_diameter    (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    plant_thickness   (time, Nveg, erho, xrho) float64 32MB ...\n",
       "    marsh_mask        (time, Nveg, erho, xrho) float64 32MB ...\n",
       "Attributes:\n",
       "    history:  Created by updatclim on 25-Apr-2022 10:51:03\n",
       "    type:     initial forcing file from http://hycom.coaps.fsu.edu:8080/thred..."
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "from matplotlib import cm\n",
    "%run -i ncbx_funcs.py\n",
    "veg_file = 'dorian_grdsub9_iniveg.nc'\n",
    "init_file = 'NCoreBanks_sub9_chrisbathy.nc'\n",
    "\n",
    "ds = xr.open_dataset(veg_file)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7fb91b69-89b3-48f2-8031-3e657efee476",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of x, and veg:\n",
      "(1317,)\n",
      "(1017, 1317)\n",
      "plant_density values:  [ 0.  1. 10.]\n",
      "plant_height values:  [0.  0.5 2. ]\n",
      "plant_thickness values:  [0.    0.005]\n",
      "plant_diameter values:  [0.   0.03]\n"
     ]
    }
   ],
   "source": [
    "# read in the bathy file which has x and y\n",
    "ds_init = xr.open_dataset(init_file)\n",
    "x = ds_init.xi_rho\n",
    "y = ds_init.eta_rho\n",
    "h = ds_init.h\n",
    "\n",
    "# make a mask with 1 on land and -1 in water\n",
    "hmask = np.ones_like(h)\n",
    "hmask[h>=0.] = -1.\n",
    "\n",
    "plant_density = np.sum( np.squeeze( ds.plant_density[0,:,:,:] ), axis = 0)\n",
    "plant_height = np.sum( np.squeeze( ds.plant_height[0,:,:,:] ), axis = 0)\n",
    "plant_thickness = np.sum( np.squeeze( ds.plant_thickness[0,:,:,:] ), axis = 0)\n",
    "plant_diameter = np.sum( np.squeeze( ds.plant_diameter[0,:,:,:] ), axis = 0)\n",
    "# marsh_mask = np.squeeze( ds.marsh_mask[0,:,:,:] ) # marsh mask is all zeros\n",
    "\n",
    "print('Shape of x, and veg:')\n",
    "print(np.shape(x))\n",
    "print(np.shape(plant_density))\n",
    "print('plant_density values: ',np.unique( plant_density ) )\n",
    "print('plant_height values: ',np.unique( plant_height ) )\n",
    "print('plant_thickness values: ',np.unique( plant_thickness ) )\n",
    "print('plant_diameter values: ',np.unique( plant_diameter ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "118a3ee1-6e34-4d0c-b809-a1a2e50c9c51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x28d24499f60>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x900 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(4,1, figsize=(6,9))\n",
    "m0 = ax[0].pcolormesh(x, y, plant_density, shading = 'nearest' )\n",
    "fig.colorbar(m0, ax=ax[0], label='Density')\n",
    "m1 = ax[1].pcolormesh(x, y, plant_height, shading = 'nearest' )\n",
    "fig.colorbar(m1, ax=ax[1], label='Height')\n",
    "m2 = ax[2].pcolormesh(x, y, plant_thickness, shading = 'nearest' )\n",
    "fig.colorbar(m2, ax=ax[2], label='Thickness')\n",
    "m3 = ax[3].pcolormesh(x, y, plant_diameter, shading = 'nearest' )\n",
    "fig.colorbar(m3, ax=ax[3], label='Diameter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4ea37c64-521d-4fc7-91af-da77fa933fb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x28d27922b90>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m0 = plt.pcolormesh(x, y, plant_height, shading = 'nearest' )\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f863375a-96d3-4d79-b3e6-f4515a08334b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x28d270a6a70>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m0 = plt.pcolormesh(x, y, hmask*plant_height, shading = 'nearest' )\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1467d17d-189b-445a-8b60-9777efa2574d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 650x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = np.ones_like(h)\n",
    "labels[plant_height == 0.0] = 2 # sand\n",
    "labels[plant_height == 0.5] = 1 # grassy\n",
    "labels[plant_height == 2.0] = 0 # woody\n",
    "labels[h>=0.] = -1.\n",
    "\n",
    "cmap = plt.get_cmap('viridis', 4)\n",
    "fig, ax = plt.subplots(1,1, figsize=(6.5, 4) )\n",
    "m1 = ax.pcolormesh(x, y-139, labels, shading = 'nearest', cmap = cmap )\n",
    "ax.set_ylim([-100, 700])\n",
    "plt.axis('equal')\n",
    "ax.set_xlabel('Alongshore Distance (m)')\n",
    "ax.set_ylabel('Cross-Shore Distance (m)')\n",
    "\n",
    "fig.colorbar(m1, ticks = [-1, 0, 1, 2], shrink = .8  )\n",
    "plt.savefig( 'labels_on_grid.png', dpi=200, bbox_inches='tight') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "54a3c67f-4e19-4b65-8437-60616f9f17ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# north arrow calcs\n",
    "# rot = 42\n",
    "adx,ady = xycoord(.12, 90-42)\n",
    "\n",
    "cmap = plt.get_cmap('viridis', 4)\n",
    "fig, ax = plt.subplots(1,1, figsize=(6.4, 4) )\n",
    "m1 = ax.pcolormesh(x, y-139, labels, shading = 'nearest', cmap = cmap )\n",
    "ax.set_xlim( (0, 1200) )\n",
    "ax.set_ylim([-100, 375])\n",
    "plt.axis('equal')\n",
    "\n",
    "# north arrow\n",
    "ax.arrow( .8, .8,  adx, ady, shape = 'right', width=.01, color='lightgray', transform=ax.transAxes )\n",
    "ax.text( .8+adx+.04, .8+ady+.04,'N',fontsize=12, color='lightgray', transform=ax.transAxes )\n",
    "\n",
    "ax.set_xlabel('Alongshore Distance (m)')\n",
    "ax.set_ylabel('Cross-Shore Distance (m)')\n",
    "fig.colorbar(m1, ticks = [-1, 0, 1, 2], shrink = .8  )\n",
    "plt.savefig( 'labels_on_grid2.png', dpi=200, bbox_inches='tight') "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}