diff --git a/modules/aeolus/aeolus_amv.py b/modules/aeolus/aeolus_amv.py
index 35c16db7158a2d255844fb660c44a0332965592e..7589d96294f7f77dcde608fb0c070e2e84027b18 100644
--- a/modules/aeolus/aeolus_amv.py
+++ b/modules/aeolus/aeolus_amv.py
@@ -83,6 +83,25 @@ class Framework(AMVFiles):
     def __init__(self, files_path, file_time_span, band='14'):
         super().__init__(files_path, file_time_span, '*WINDS_AMV_EN-'+band+'*.nc', band)
 
+        self.elem_name = 'Element'
+        self.line_name = 'Line'
+        self.lon_name = 'Longitude'
+        self.lat_name = 'Latitude'
+
+        self.out_params = ['Lon', 'Lat', 'Element', 'Line', 'pressure', 'wind_speed', 'wind_direction']
+        self.params = ['MedianPress', 'Wind_Speed', 'Wind_Dir']
+        self.meta_dict = {'Lon': ('degrees east', 'f4'), 'Lat': ('degrees north', 'f4'), 'Element': (None, 'i4'), 'Line': (None, 'i4'),
+                          'pressure': ('hPa', 'f4'), 'wind_speed': ('m s-1', 'f4'), 'wind_direction': ('degrees', 'f4')}
+
+    def get_parameters(self):
+        return self.params
+
+    def get_out_parameters(self):
+        return self.out_params
+
+    def get_meta_dict(self):
+        return self.meta_dict
+
     def get_navigation(self):
         GEOSNavigation(sub_lon=-75.0)
 
@@ -486,7 +505,7 @@ def analyze2(raob_to_amv_dct, raob_dct, gfs_filename=None):
     mad = np.average(np.abs(diff))
     bias = np.average(diff)
     print('********************************************************')
-    print('Number of good best fits: ', bf_p.shape[0])
+    print('Number of good best fits to RAOB: ', bf_p.shape[0])
     print('press, MAD: {0:.2f}'.format(mad))
     print('press, bias: {0:.2f}'.format(bias))
     pd_std = np.std(diff)
@@ -556,7 +575,7 @@ def analyze2(raob_to_amv_dct, raob_dct, gfs_filename=None):
     mad = np.average(np.abs(diff))
     bias = np.average(diff)
     print('********************************************************')
-    print('Number of good best fits: ', bf_p.shape[0])
+    print('Number of good best fits to GFS: ', bf_p.shape[0])
     print('press, MAD: {0:.2f}'.format(mad))
     print('press, bias: {0:.2f}'.format(bias))
     pd_std = np.std(diff)