diff --git a/testfile cartopy.py b/testfile cartopy.py
index 4220e5a..eaaa1b1 100644
--- a/testfile cartopy.py	
+++ b/testfile cartopy.py	
@@ -10,6 +10,8 @@ import tempfile
 import numpy as np
 import io
 from PIL import Image
+import threading
+import concurrent.futures
 
 import cartopy.crs as ccrs
 from cartopy.io.img_tiles import OSM
@@ -96,16 +98,6 @@ def get_radar_from_aws(aws_object):
     radar : Py-ART Radar Object
         Radar closest to the queried datetime
     """
-        
-    #find the closest available radar to your datetime
-
-    #closest_datetime = _nearestDate(datetimes, datetime_t)
-    #index = datetimes.index(closest_datetime)
-
-    #localfile = tempfile.NamedTemporaryFile()
-    #keys[index].Object().download_file(localfile.name)
-    #aws_object.download_file(localfile.name)
-    #radar = pyart.io.read(localfile.name)
     filename = aws_object.key.replace('/', '_')
     if not os.path.isfile(f'cache/rawradar/{filename}'):
         printdebug('Cache Miss')
@@ -142,10 +134,11 @@ def generate_radar_image(radar_data, tiler, mercator):
 
     radar_data.fields['reflectivity']['data'][:, -10:] = np.ma.masked
 
-    gatefilter = pyart.filters.GateFilter(radar_data)
-    gatefilter.exclude_transition()
-    gatefilter.exclude_masked("reflectivity")
-    gatefilter.exclude_below('reflectivity', 16)
+    # gatefilter = pyart.filters.GateFilter(radar_data)
+    # gatefilter.exclude_transition()
+    # gatefilter.exclude_masked("reflectivity")
+    # gatefilter.exclude_below('reflectivity', 16)
+    gatefilter = pyart.filters.moment_based_gate_filter(radar_data)
 
     printdebug('Despeckling')
     despeckle_gatefilter = pyart.correct.despeckle_field(radar_data, 'reflectivity', gatefilter=gatefilter, size=20) 
@@ -171,6 +164,20 @@ def generate_radar_image(radar_data, tiler, mercator):
 
     return fig
 
+def _thread_generate_radar_image(radar_data, dataName, tiler, mercator, index, lock):
+    if not os.path.isfile(f'cache/radarimages/{dataName}.png'):
+        fig = generate_radar_image(radar_data, tiler, mercator)
+        frame = convert_fig_to_img(fig)
+        frame.save(f'cache/radarimages/{dataName}.png')
+        lock.acquire()
+        secondary_frames[index] = frame
+        lock.release()
+    else:
+        frame = Image.open(f'cache/radarimages/{dataName}.png')
+        lock.acquire()
+        secondary_frames[index] = frame
+        lock.release()
+
 fmt = '%Y%m%d_%H%M%S' 
 currentDatetime = datetime.now(timezone.utc)
 num_frames = 20
@@ -192,13 +199,18 @@ else:
     firstFrame = Image.open(f'cache/radarimages/{radarKeys[0]}.png')
 
 i = 0
+lock = threading.Lock()
+threadPool = concurrent.futures.ThreadPoolExecutor(max_workers=4)
 for i in range(num_frames - 1):
-    if not os.path.isfile(f'cache/radarimages/{radarKeys[i + 1]}.png'):
-        fig = generate_radar_image(radar[radarKeys[i + 1]], tiler, mercator)
-        secondary_frames[i] = convert_fig_to_img(fig)
-        secondary_frames[i].save(f'cache/radarimages/{radarKeys[i + 1]}.png')
-    else:
-        secondary_frames[i] = Image.open(f'cache/radarimages/{radarKeys[i + 1]}.png')
+    # if not os.path.isfile(f'cache/radarimages/{radarKeys[i + 1]}.png'):
+    #     fig = generate_radar_image(radar[radarKeys[i + 1]], tiler, mercator)
+    #     secondary_frames[i] = convert_fig_to_img(fig)
+    #     secondary_frames[i].save(f'cache/radarimages/{radarKeys[i + 1]}.png')
+    # else:
+    #     secondary_frames[i] = Image.open(f'cache/radarimages/{radarKeys[i + 1]}.png')
+    threadPool.submit(_thread_generate_radar_image, radar[radarKeys[i + 1]], radarKeys[i + 1], tiler, mercator, i, lock)
+
+threadPool.shutdown(wait=True)
 
 datetimeString = datetime.strftime(currentDatetime, fmt)