diff --git a/CONTRIBUTORS.rst b/CONTRIBUTORS.rst
index 9205cc6b3..1bc35501c 100644
--- a/CONTRIBUTORS.rst
+++ b/CONTRIBUTORS.rst
@@ -15,3 +15,6 @@ This is a list of the people who directly contributed to wetterdienst in one way
 * Ilya Kamenshchikov
 
 * Michael Schrammel
+
+* `Niclas Hoyer <https://github.com/niclashoyer>`_
+    - Change mosmix parser to xml stream events
diff --git a/wetterdienst/provider/dwd/mosmix/access.py b/wetterdienst/provider/dwd/mosmix/access.py
index a438350c6..bcd827880 100644
--- a/wetterdienst/provider/dwd/mosmix/access.py
+++ b/wetterdienst/provider/dwd/mosmix/access.py
@@ -11,7 +11,7 @@
 import numpy as np
 import pandas as pd
 from fsspec.implementations.zip import ZipFileSystem
-from lxml.etree import XMLParser, parse  # noqa: S410
+from lxml.etree import iterparse  # noqa: S410
 from pandas import DatetimeIndex
 from tqdm import tqdm
 
@@ -32,9 +32,9 @@ def __init__(
         self.station_ids = station_ids
         self.parameters = parameters
         self.metadata = {}
-        self.root = None
         self.timesteps = []
-        self.items = []
+        self.nsmap = None
+        self.iter_elems = None
 
         self.dwdfs = NetworkFilesystemManager.get(ttl=CacheExpiry.FIVE_MINUTES)
 
@@ -88,9 +88,7 @@ def read(self, url: str):
         kml = self.fetch(url)
 
         log.info("Parsing KML data")
-        # TODO: Check if XML parsing performance can be improved by using libxml2.
-        tree = parse(BytesIO(kml), parser=XMLParser(huge_tree=True))  # noqa: S320
-        self.root = root = tree.getroot()
+        self.iter_elems = iterparse(BytesIO(kml), events=("start", "end"), resolve_entities=False)
 
         prod_items = {
             "issuer": "Issuer",
@@ -99,43 +97,67 @@ def read(self, url: str):
             "issue_time": "IssueTime",
         }
 
-        # Get Basic Metadata
-        prod_definition = root.findall("kml:Document/kml:ExtendedData/dwd:ProductDefinition", root.nsmap)[0]
+        nsmap = None
 
-        self.metadata = {k: prod_definition.find(f"{{{root.nsmap['dwd']}}}{v}").text for k, v in prod_items.items()}
+        # Get Basic Metadata
+        prod_definition = None
+        prod_definition_tag = None
+        for event, element in self.iter_elems:
+            if event == "start":
+                # get namespaces from root element
+                if nsmap is None:
+                    nsmap = element.nsmap
+                    prod_definition_tag = f"{{{nsmap['dwd']}}}ProductDefinition"
+            elif event == "end":
+                if element.tag == prod_definition_tag:
+                    prod_definition = element
+                    # stop processing after head
+                    # leave forecast data for iteration
+                    break
+
+        self.metadata = {k: prod_definition.find(f"{{{nsmap['dwd']}}}{v}").text for k, v in prod_items.items()}
         self.metadata["issue_time"] = pd.Timestamp(self.metadata["issue_time"])
 
         # Get time steps.
-        timesteps = root.findall(
-            "kml:Document/kml:ExtendedData/dwd:ProductDefinition/dwd:ForecastTimeSteps",
-            root.nsmap,
+        timesteps = prod_definition.findall(
+            "dwd:ForecastTimeSteps",
+            nsmap,
         )[0]
         self.timesteps = DatetimeIndex([pd.Timestamp(i.text) for i in timesteps.getchildren()])
 
-        # Find all kml:Placemark items.
-        self.items = root.findall("kml:Document/kml:Placemark", root.nsmap)
+        # save namespace map for later iteration
+        self.nsmap = nsmap
 
     def iter_items(self):
-        for item in self.items:
-            station_id = item.find("kml:name", self.root.nsmap).text
-
-            if (self.station_ids is None) or station_id in self.station_ids:
-                yield item
+        clear = True
+        placemark_tag = f"{{{self.nsmap['kml']}}}Placemark"
+        for event, element in self.iter_elems:
+            if event == "start":
+                if element.tag == placemark_tag:
+                    clear = False
+            elif event == "end":
+                if element.tag == placemark_tag:
+                    station_id = element.find("kml:name", self.nsmap).text
+                    if (self.station_ids is None) or station_id in self.station_ids:
+                        yield element
+                    clear = True
+                if clear:
+                    element.clear()
 
     def get_metadata(self):
         return pd.DataFrame([self.metadata])
 
     def get_forecasts(self):
         for station_forecast in self.iter_items():
-            station_ids = station_forecast.find("kml:name", self.root.nsmap).text
+            station_ids = station_forecast.find("kml:name", self.nsmap).text
 
-            measurement_list = station_forecast.findall("kml:ExtendedData/dwd:Forecast", self.root.nsmap)
+            measurement_list = station_forecast.findall("kml:ExtendedData/dwd:Forecast", self.nsmap)
 
             data_dict = {"station_id": station_ids, "datetime": self.timesteps}
 
             for measurement_item in measurement_list:
 
-                measurement_parameter = measurement_item.get(f"{{{self.root.nsmap['dwd']}}}elementName")
+                measurement_parameter = measurement_item.get(f"{{{self.nsmap['dwd']}}}elementName")
 
                 if measurement_parameter.lower() in self.parameters:
                     measurement_string = measurement_item.getchildren()[0].text
@@ -149,4 +171,5 @@ def get_forecasts(self):
 
                     data_dict[measurement_parameter.lower()] = measurement_values
 
+            station_forecast.clear()
             yield pd.DataFrame.from_dict(data_dict)