diff --git a/eto/param_est.py b/eto/param_est.py
index c5a541e..2945d39 100644
--- a/eto/param_est.py
+++ b/eto/param_est.py
@@ -86,7 +86,7 @@ def param_est(self, df, freq='D', z_msl=None, lat=None, lon=None, TZ_lon=None, z
 
     ####################################
     ##### Set up the DataFrame and estimated values series
-    new_cols = met_names[~np.in1d(met_names, df.columns)]
+    new_cols = met_names[~np.isin(met_names, df.columns)]
     new_df = pd.DataFrame(np.nan, index=df.index, columns=new_cols)
     self.ts_param = pd.concat([df, new_df], axis=1).copy()
 
diff --git a/eto/tests/test_eto.py b/eto/tests/test_eto.py
index dc83d9c..775a717 100644
--- a/eto/tests/test_eto.py
+++ b/eto/tests/test_eto.py
@@ -36,13 +36,13 @@
 
 
 def test_eto_fao_daily():
-    et1 = ETo(tsdata, 'D', z_msl, lat, lon, TZ_lon)
+    et1 = ETo(tsdata, 'd', z_msl, lat, lon, TZ_lon)
     eto1 = et1.eto_fao().sum()
     res1 = tsresults['ETo_FAO_mm'].sum()
 
     assert eto1 == res1
 
-et1 = ETo(tsdata, 'D', z_msl, lat, lon, TZ_lon)
+et1 = ETo(tsdata, 'd', z_msl, lat, lon, TZ_lon)
 
 def test_eto_har_daily():
     eto2 = et1.eto_hargreaves().sum()
@@ -52,8 +52,8 @@ def test_eto_har_daily():
 
 def test_eto_fao_hourly():
     tsdata2 = et1.ts_param[['R_s', 'T_mean', 'e_a']]
-    tsdata3 = et1.tsreg(tsdata2, 'H', 'time')
-    et2 = ETo(tsdata3, 'H', z_msl, lat, lon, TZ_lon)
+    tsdata3 = et1.tsreg(tsdata2, 'h', 'time')
+    et2 = ETo(tsdata3, 'h', z_msl, lat, lon, TZ_lon)
     eto3 = et2.eto_fao().sum()
 
     res1 = tsresults['ETo_FAO_mm'].sum()