MOBT-639: Temporal interpolation of period diagnostics

improver/cli/temporal_interpolate.py

@@ -43,6 +43,9 @@ def process(
     interval_in_mins: int = None,
     times: cli.comma_separated_list = None,
     interpolation_method="linear",
+    accumulation: bool = False,
+    max: bool = False,
+    min: bool = False,
 ):
     """Interpolate data between validity times.
 
@@ -75,7 +78,23 @@ def process(
             solar interpolates using the solar elevation,
             daynight uses linear interpolation but sets night time points to
             0.0 linear is linear interpolation.
-
+        accumulation:
+            Set True if the diagnostic being temporally interpolated is a
+            period accumulation. The output will be renormalised to ensure
+            that the total across the period constructed from the shorter
+            intervals matches the total across the period from the coarser
+            intervals. Trends between adjacent input periods will be used
+            to provide variation across the interpolated periods.
+        max:
+            Set True if the diagnostic being temporally interpolated is a
+            period maximum. Trends between adjacent input periods will be used
+            to provide variation across the interpolated periods where these
+            are consistent with the inputs.
+        min:
+            Set True if the diagnostic being temporally interpolated is a
+            period minimum. Trends between adjacent input periods will be used
+            to provide variation across the interpolated periods where these
+            are consistent with the inputs.
     Returns:
         iris.cube.CubeList:
             A list of cubes interpolated to the desired times. The
@@ -99,5 +118,8 @@ def process(
         interval_in_minutes=interval_in_mins,
         times=times,
         interpolation_method=interpolation_method,
+        accumulation=accumulation,
+        max=max,
+        min=min,
     )(start_cube, end_cube)
     return MergeCubes()(result)