diff --git a/pycomlink/processing/baseline.py b/pycomlink/processing/baseline.py
index 0a2e5f1..5cec9fb 100644
--- a/pycomlink/processing/baseline.py
+++ b/pycomlink/processing/baseline.py
@@ -43,7 +43,7 @@ def baseline_constant(trsl, wet, n_average_last_dry=1):
 
     return _numba_baseline_constant(
         trsl=np.asarray(trsl, dtype=np.float64),
-        wet=np.asarray(wet, dtype=np.bool),
+        wet=np.asarray(wet, dtype=bool),
         n_average_last_dry=n_average_last_dry,
     )
 
diff --git a/pycomlink/processing/blackout_gap_detection.py b/pycomlink/processing/blackout_gap_detection.py
index cc410c7..937b481 100644
--- a/pycomlink/processing/blackout_gap_detection.py
+++ b/pycomlink/processing/blackout_gap_detection.py
@@ -53,7 +53,7 @@ def created_blackout_gap_mask_from_start_end_markers(rsl, gap_start, gap_end):
 
     """
 
-    mask = np.zeros(rsl.shape, dtype=np.bool_)
+    mask = np.zeros(rsl.shape, dtype=bool)
     in_blackout_gap = False
     for i in range(len(rsl)):
         if gap_start[i] == True:
diff --git a/pycomlink/processing/wet_dry/stft.py b/pycomlink/processing/wet_dry/stft.py
index 9447bfa..b2e0fbb 100644
--- a/pycomlink/processing/wet_dry/stft.py
+++ b/pycomlink/processing/wet_dry/stft.py
@@ -182,7 +182,7 @@ def stft_classification(
     P_sum_diff = P_norm_low / N_f_divide_low - P_norm_high / N_f_divide_high
 
     nan_index = np.isnan(P_sum_diff)
-    wet = np.zeros_like(P_sum_diff, dtype=np.bool)
+    wet = np.zeros_like(P_sum_diff, dtype=bool)
     wet[~nan_index] = P_sum_diff[~nan_index] > threshold
 
     info = {