renaming and typos (#6)

OGGM · Mar 3, 2023 · e11756a · e11756a
1 parent 180a492
commit e11756a
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Showing 4 changed files with 5 additions and 5 deletions.
diff --git a/oggm/cli/prepro_levels.py b/oggm/cli/prepro_levels.py
@@ -645,7 +645,7 @@ def _time_log():
             from oggm.core.flowline import FluxBasedModel
             evolution_model = FluxBasedModel
 
-        # conduct historical run before dynamic mu calibration
+        # conduct historical run before dynamic melt_f calibration
         # (for comparison to old default behavior)
         workflow.execute_entity_task(tasks.run_from_climate_data, gdirs,
                                      min_ys=y0, ye=ye,

diff --git a/oggm/core/dynamic_spinup.py b/oggm/core/dynamic_spinup.py
@@ -1939,7 +1939,7 @@ def c_fun(melt_f):
 
     # Here start with own spline minimisation algorithm
     def minimise_with_spline_fit(fct_to_minimise, melt_f_guess, mismatch):
-        # defines limits of mu in accordance to maximal allowed change
+        # defines limits of melt_f in accordance to maximal allowed change
         # between iterations
         melt_f_limits = [melt_f_initial - melt_f_max_step_length,
                          melt_f_initial + melt_f_max_step_length]

diff --git a/oggm/core/massbalance.py b/oggm/core/massbalance.py
@@ -489,7 +489,7 @@ def __init__(self, gdir,
                 raise InvalidWorkflowError('We now work exclusively with '
                                            'calendar years.')
 
-            # Quick trick because we now the size of our array
+            # Quick trick because we know the size of our array
             years = np.repeat(np.arange(time[-1].year - ny + 1,
                                         time[-1].year + 1), 12)
             pok = slice(None)  # take all is default (optim)
@@ -1371,7 +1371,7 @@ def get_ela(self, year=None, **kwargs):
 
 
 def _fallback_mb_calibration(gdir):
-    """A Fallback function if climate.mu_star_calibration raises an Error.
+    """A Fallback function if massbalance.mb_calibration_from_scalar_mb raises an Error.
 
     If calibration fails, this function will still read, expand and write a
     `mb_calib.json` filled with NANs.

diff --git a/oggm/tests/test_models.py b/oggm/tests/test_models.py
@@ -4071,7 +4071,7 @@ def test_run_dynamic_melt_f_calibration_with_dynamic_spinup(self,
                    err_dmdtda_scaling_factor
 
         # test that error is raised if user provides flowlines but want to
-        # include inversion during dynamic mu calibration
+        # include inversion during dynamic melt_f calibration
         if do_inversion:
             # artificial change of flowlines to force error
             fls[0].thick = np.zeros(fls[0].nx)