diff --git a/stormworkflow/post/analyze_ensemble.py b/stormworkflow/post/analyze_ensemble.py
index f12ea8b..4690fe6 100644
--- a/stormworkflow/post/analyze_ensemble.py
+++ b/stormworkflow/post/analyze_ensemble.py
@@ -112,6 +112,8 @@ def _analyze(tracks_dir, analyze_dir, mann_coef):
 
     storm_name = None
 
+    validate_surrogate_model = False #if True, split 70/30
+
     if log_space:
         output_directory = analyze_dir / f'log_k{k_neighbors}_p{idw_order}_n{mann_coef}'
     else:
@@ -163,14 +165,21 @@ def _analyze(tracks_dir, analyze_dir, mann_coef):
         )
     )
 
-    if len(numpy.unique(perturbations['type'][:])) == 1:
+#    if len(numpy.unique(perturbations['type'][:])) == 1:
+
+    if validate_surrogate_model:
         perturbations['type'][:] = numpy.random.choice(
             ['training', 'validation'], size=len(perturbations.run), p=[0.7, 0.3]
         )
         LOGGER.info('dividing 70/30% for training/testing the model')
 
-    training_perturbations = perturbations.sel(run=perturbations['type'] == 'training')
-    validation_perturbations = perturbations.sel(run=perturbations['type'] == 'validation')
+        training_perturbations = perturbations.sel(run=perturbations['type'] == 'training')
+        validation_perturbations = perturbations.sel(run=perturbations['type'] == 'validation')
+    else:
+        training_perturbations = perturbations.sel(run=perturbations['type'] == 'training')
+        validation_perturbations = perturbations.sel(run=perturbations['type'] == 'training')
+        LOGGER.info('using all members for training the model')
+        make_validation_plot = False
 
     if make_perturbations_plot:
         plot_perturbations(
@@ -222,7 +231,8 @@ def _analyze(tracks_dir, analyze_dir, mann_coef):
         validation_set = subset.sel(run=validation_perturbations['run'])
 
     LOGGER.info(f'total {training_set.shape} training samples')
-    LOGGER.info(f'total {validation_set.shape} validation samples')
+    if validate_surrogate_model:
+        LOGGER.info(f'total {validation_set.shape} validation samples')
 
     if node_status_mask == 'always_wet':
         training_set_adjusted = training_set.copy(deep=True)
diff --git a/stormworkflow/slurm/post.sbatch b/stormworkflow/slurm/post.sbatch
index 81d039d..0df1afe 100644
--- a/stormworkflow/slurm/post.sbatch
+++ b/stormworkflow/slurm/post.sbatch
@@ -1,6 +1,6 @@
 #!/bin/bash
 #SBATCH --parsable
-#SBATCH --time=05:00:00
+#SBATCH --time=08:00:00
 #SBATCH --nodes=1
 #SBATCH --exclusive
 
diff --git a/stormworkflow/slurm/schism.sbatch b/stormworkflow/slurm/schism.sbatch
index fef7e43..a2d0590 100644
--- a/stormworkflow/slurm/schism.sbatch
+++ b/stormworkflow/slurm/schism.sbatch
@@ -1,7 +1,7 @@
 #!/bin/bash
 #SBATCH --parsable
 #SBATCH --exclusive
-#SBATCH --time=03:00:00
+#SBATCH --time=05:00:00
 
 set -ex