diff --git a/metloom/__init__.py b/metloom/__init__.py
index deb2751..1d74f00 100644
--- a/metloom/__init__.py
+++ b/metloom/__init__.py
@@ -2,4 +2,4 @@
 
 __author__ = """M3Works"""
 __email__ = "m3worksllc@gmail.com"
-__version__ = '0.9.1'
+__version__ = '0.9.2'
diff --git a/metloom/dataframe_utils.py b/metloom/dataframe_utils.py
index 7684f29..c397760 100644
--- a/metloom/dataframe_utils.py
+++ b/metloom/dataframe_utils.py
@@ -116,6 +116,8 @@ def resample_df(raw_df: pd.DataFrame,
             desired interval
     """
     name = variable.name
+    if interval == 'H':
+        interval = 'h' # pandas uses lowercase for hourly resampling
     if name in raw_df.columns:
         if variable.accumulated:
             result = raw_df[name].resample(interval).sum()
diff --git a/metloom/pointdata/snotel_client.py b/metloom/pointdata/snotel_client.py
index ff4451c..2ac381c 100644
--- a/metloom/pointdata/snotel_client.py
+++ b/metloom/pointdata/snotel_client.py
@@ -200,6 +200,35 @@ def get_data(self, element_cd: str, **extra_params):
         mapped_params = self._get_params(**extra_params)
         params = {**self.params, **mapped_params}
         data = self._make_request(**params)
+
+        # In some cases, in particlular for snow course data prior to 2011, the collection dates
+        # are not included in the reponse for the SWE variable, but are included in the depth (SNWD).
+        # This is a workaround to make a second request if the collection data are missing.
+        if (
+            (len(data) > 0)
+            and ("collectionDates" in data[0])
+            and all(c is None for c in data[0]["collectionDates"])
+        ):
+            data2 = self._make_request(**{**params, "elementCd": "SNWD"})
+            data[0]["collectionDates"] = data2[0]["collectionDates"]
+
+        # Furthermore, in some cases the collectionDates are not included at all, so we need to assume the collection dates.
+        # Based on our analsysis the target date is the first of the month. The API returns the beginDate and endData for the 
+        # period. Thus, using the 'beginDate' and 'endDate' the range of dates can be estimated. The 'collectionDates' 
+        # can then be estimated using the data with 'values' (i.e. not None).
+        if (
+            (len(data) > 0)
+            and ("collectionDates" in data[0])
+            and all(c is None for c in data[0]["collectionDates"])
+            and data[0]["beginDate"] is not None
+            and data[0]["endDate"] is not None
+        ):
+            start_date = pd.to_datetime(data[0]["beginDate"])
+            end_date = pd.to_datetime(data[0]["endDate"])
+            date_list = pd.date_range(start=start_date, end=end_date, freq="MS")
+            collection_dates = [d for d in date_list for _ in range(2)]
+            data[0]["collectionDates"] = [collection_dates[i] if (v is not None) else None for i, v in enumerate(data[0]['values'])]
+
         return self._parse_data(data)
 
 
diff --git a/setup.cfg b/setup.cfg
index 5b60b01..b832916 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.9.1
+current_version = 0.9.2
 commit = True
 tag = True
 
diff --git a/setup.py b/setup.py
index e9d4725..0e8b1dd 100644
--- a/setup.py
+++ b/setup.py
@@ -54,6 +54,6 @@
     test_suite='tests',
     tests_require=test_requirements,
     url='https://github.com/M3Works/metloom',
-    version='0.9.1',
+    version='0.9.2',
     zip_safe=False,
 )