added J.E. Tesdal Heat Budget Closure Tutorial

Author: ifenty

Tutorials_as_Jupyter_Notebooks/ECCO_v4_Heat_budget_closure.ipynb

@@ -2165,7 +2165,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Tutorials_as_Python_Files/ECCO_v4_Heat_budget_closure.py

@@ -656,25 +656,30 @@
 # Load the geothermal heat flux using the routine 'read_llc_to_tiles'
 geoflx = ecco.read_llc_to_tiles(base_dir, 'geothermalFlux.bin')
 
-# > **Note**: Geothermal flux needs to be saved as an xarray data array with the same format as the model output. In order to reformat the loaded data array the byte-ordering needs to be changed.
 
 # The geothermal flux dataset needs to be saved as an xarray data array with the same format as the model output.
 
 # In[56]:
 
+
 # Convert numpy array to an xarray DataArray with matching dimensions as the monthly mean fields
 geoflx_llc = xr.DataArray(geoflx,coords={'tile': ecco_monthly_mean.tile.values,
                                          'j': ecco_monthly_mean.j.values,
                                          'i': ecco_monthly_mean.i.values},dims=['tile','j','i'])
 
+
+# In[ ]:
+
+
 plt.figure(figsize=(15,5));
 
 ecco.plot_proj_to_latlon_grid(ecco_grid.XC, ecco_grid.YC, geoflx_llc,show_colorbar=True,cmap='magma', 
                               user_lon_0=-67, dx=0.2, dy=0.2)
 plt.title(r'Geothermal heat flux [W m$^{-2}$]', fontsize=16)
 plt.show()
 
-# Geothermal flux needs to be a three dimensional field since the sources are distributed along the ocean floor at various depths. This requires a three dimensional mask (see below).
+
+# Geothermal flux needs to be a three dimensional field since the sources are distributed along the ocean floor at various depths. This requires a three dimensional mask.
 
 # In[57]:
 

doc/ECCO_v4_Heat_budget_closure.ipynb

@@ -0,0 +1 @@
+../Tutorials_as_Jupyter_Notebooks/ECCO_v4_Heat_budget_closure.ipynb

doc/index.rst

@@ -74,6 +74,7 @@ The `ecco_v4_py`_ package used in this tutorial was inspired by the `xmitgcm`_ p
    ECCO_v4_Example_MHT.ipynb
    ECCO_v4_Example_OSNAP.ipynb
    ECCO_v4_Volume_budget_closure.ipynb 
+   ECCO_v4_Heat_budget_closure.ipynb 
 
 .. toctree::
    :maxdepth: 2