diff --git a/mlair/helpers/helpers.py b/mlair/helpers/helpers.py
index 5ddaa3ee3fe505eeb7c8082274d9cd888cec720f..40fd98b93796c7b32a1e767e0c9179f429b9a0c9 100644
--- a/mlair/helpers/helpers.py
+++ b/mlair/helpers/helpers.py
@@ -2,10 +2,14 @@
 __author__ = 'Lukas Leufen, Felix Kleinert'
 __date__ = '2019-10-21'
 
+import glob
 import inspect
+import json
 import math
+import os
 
 import numpy as np
+import pandas as pd
 import xarray as xr
 import dask.array as da
 
@@ -179,3 +183,40 @@ def convert2xrda(arr: Union[xr.DataArray, xr.Dataset, np.ndarray, int, float],
             kwargs.update({'dims': dims, 'coords': coords})
 
         return xr.DataArray(arr, **kwargs)
+
+
+class TOARMeta2Coords:
+
+    def __init__(self, meta_file_path, station_lat='station_lat', station_lon='station_lon'):
+        self.meta_file_path = meta_file_path
+        self.station_lat = station_lat
+        self.station_lon = station_lon
+        self.coord_name_list = None
+
+    def get_filenames(self, meta_file_ending='.csv'):
+        file_list = glob.glob(f"{os.path.join(self.meta_file_path, f'*{meta_file_ending}')}")
+        return file_list
+
+    def set_coord_name_list(self):
+        coord_list = []
+        files = self.get_filenames()
+        for file in files:
+            df = pd.read_csv(file, index_col=0)
+            lat_coord, lon_coord = [s[0].replace('.', '_') for s in df.loc[[self.station_lat, self.station_lon]].values]
+            coord_name = f"coords__{lat_coord}__{lon_coord}"
+            coord_list.append(coord_name)
+        self.coord_name_list = coord_list
+
+    def store_to_file(self, path):
+        if self.coord_name_list is not None:
+            with open(path, 'w') as f:
+                json.dump(self.coord_name_list, f)
+
+
+if __name__ == '__main__':
+    tm2c = TOARMeta2Coords("/home/felix/PycharmProjects/mlair/raw_input_IntelliO3-ts")
+    tm2c.set_coord_name_list()
+    tm2c.store_to_file("/home/felix/PycharmProjects/mlair/coord_list.json")
+    print(123)
+
+