Allow additional modelling args (#138)

* Allow additional modelling args

* Automatically update integration test validation results

---------

Co-authored-by: lars-fillmore <lars-fillmore@users.noreply.github.com>

Author: lars-fillmore

intertidal/exposure.py

@@ -242,6 +242,7 @@ def exposure(
     run_id=None,
     log=None,
     return_tide_modelling=False,
+    **model_tides_kwargs,
 ):
     """
     Calculate intertidal exposure, indicating the proportion of time
@@ -330,6 +331,12 @@ def exposure(
         exposure_ds, modelledtides_ds, modelledtides_1d,timeranges.
         If false, set the function call to return exposure_ds and
         modelledtides_ds only. Default = False.
+    **model_tides_kwargs :
+        Optional parameters passed to the `eo_tides.model.model_tides`
+        function. Important parameters include `cutoff` (used to
+        extrapolate modelled tides away from the coast; defaults to
+        `np.inf`), `crop` (whether to crop tide model constituent files
+        on-the-fly to improve performance) etc.
 
     Returns
     -------
@@ -446,6 +453,7 @@ def exposure(
         model=tide_model,
         directory=tide_model_dir,
         resample=False,
+        **model_tides_kwargs,
     )
 
     # Calculate a 1D tide height time series to use with filtered exposure calc's

tests/README.md

@@ -10,7 +10,7 @@ Integration tests
 
 This directory contains tests that are run to verify that DEA Intertidal code runs correctly. The ``test_intertidal.py`` file runs a small-scale full workflow analysis over an intertidal flat in the Gulf of Carpentaria using the DEA Intertidal [Command Line Interface (CLI) tools](../notebooks/Intertidal_CLI.ipynb), and compares these results against a LiDAR validation DEM to produce some simple accuracy metrics.
 
-The latest integration test completed at **2025-06-23 15:23**. Compared to the previous run, it had an:
+The latest integration test completed at **2025-07-02 09:42**. Compared to the previous run, it had an:
 - RMSE accuracy of **0.14 m ( :heavy_minus_sign: no change)**
 - MAE accuracy of **0.12 m ( :heavy_minus_sign: no change)**
 - Bias of **0.12 m ( :heavy_minus_sign: no change)**

tests/validation.csv

@@ -113,3 +113,4 @@ time,Correlation,RMSE,MAE,R-squared,Bias,Regression slope
 2025-05-05 01:48:26.455865+00:00,0.975,0.145,0.123,0.95,0.117,1.119
 2025-06-23 01:25:05.874000+00:00,0.975,0.145,0.123,0.95,0.117,1.119
 2025-06-23 05:23:05.398537+00:00,0.975,0.145,0.123,0.95,0.117,1.119
+2025-07-01 23:42:45.999052+00:00,0.975,0.145,0.123,0.95,0.117,1.119