diff --git a/map2map/args.py b/map2map/args.py
index f1c1c9b..bb22e46 100644
--- a/map2map/args.py
+++ b/map2map/args.py
@@ -96,10 +96,14 @@ def add_common_args(parser):
 def add_train_args(parser):
     add_common_args(parser)
 
+    parser.add_argument('--train-param-pattern', type=str, required=True,
+            help='glob pattern for training data parameters')
     parser.add_argument('--train-in-patterns', type=str_list, required=True,
             help='comma-sep. list of glob patterns for training input data')
     parser.add_argument('--train-tgt-patterns', type=str_list, required=True,
             help='comma-sep. list of glob patterns for training target data')
+    parser.add_argument('--val-param-pattern', type=str,
+            help='glob pattern for validation data parameters')
     parser.add_argument('--val-in-patterns', type=str_list,
             help='comma-sep. list of glob patterns for validation input data')
     parser.add_argument('--val-tgt-patterns', type=str_list,
@@ -160,6 +164,8 @@ def add_train_args(parser):
 def add_test_args(parser):
     add_common_args(parser)
 
+    parser.add_argument('--test-param-pattern', type=str, required=True,
+            help='glob pattern for test data parameters')
     parser.add_argument('--test-in-patterns', type=str_list, required=True,
             help='comma-sep. list of glob patterns for test input data')
     parser.add_argument('--test-tgt-patterns', type=str_list, required=True,
diff --git a/map2map/data/fields.py b/map2map/data/fields.py
index 7468e5b..be95998 100644
--- a/map2map/data/fields.py
+++ b/map2map/data/fields.py
@@ -41,19 +41,21 @@ class FieldDataset(Dataset):
     the input for super-resolution, in which case `crop` and `pad` are sizes of
     the input resolution.
     """
-    def __init__(self, in_patterns, tgt_patterns,
+    def __init__(self, param_pattern, in_patterns, tgt_patterns,
                  in_norms=None, tgt_norms=None, callback_at=None,
                  augment=False, aug_shift=None, aug_add=None, aug_mul=None,
                  crop=None, crop_start=None, crop_stop=None, crop_step=None,
                  in_pad=0, tgt_pad=0, scale_factor=1):
+        self.param_files = sorted(param_pattern)
+
         in_file_lists = [sorted(glob(p)) for p in in_patterns]
         self.in_files = list(zip(* in_file_lists))
 
         tgt_file_lists = [sorted(glob(p)) for p in tgt_patterns]
         self.tgt_files = list(zip(* tgt_file_lists))
 
-        if len(self.in_files) != len(self.tgt_files):
-            raise ValueError('number of input and target fields do not match')
+        if len(self.param_files) != len(self.in_files) != len(self.tgt_files):
+            raise ValueError('number of param files, input and target fields do not match')
         self.nfile = len(self.in_files)
 
         if self.nfile == 0:
@@ -141,6 +143,7 @@ class FieldDataset(Dataset):
     def __getitem__(self, idx):
         ifile, icrop = divmod(idx, self.ncrop)
 
+        params = np.loadtxt(self.param_files[idx])
         in_fields = [np.load(f) for f in self.in_files[ifile]]
         tgt_fields = [np.load(f) for f in self.tgt_files[ifile]]
 
@@ -186,7 +189,7 @@ class FieldDataset(Dataset):
         in_fields = torch.cat(in_fields, dim=0)
         tgt_fields = torch.cat(tgt_fields, dim=0)
 
-        return in_fields, tgt_fields
+        return params, in_fields, tgt_fields
 
     def assemble(self, **fields):
         """Assemble cropped fields.