diff --git a/dms_datastore/download_mokelumne.py b/dms_datastore/download_mokelumne.py
index e4de1f1..dd7312e 100644
--- a/dms_datastore/download_mokelumne.py
+++ b/dms_datastore/download_mokelumne.py
@@ -8,7 +8,7 @@
 import requests
 import glob
 import pandas as pd
-from . import store_utils as utils
+from dms_datastore import store_utils as utils
 
 
 def build_filename(date_str, base_dir):
@@ -81,3 +81,7 @@ def download_last_7(base_dir="raw"):
 def main():
     download_last_7()
     update_last_7days()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dms_datastore/download_ucdipm.py b/dms_datastore/download_ucdipm.py
new file mode 100644
index 0000000..e1bf81e
--- /dev/null
+++ b/dms_datastore/download_ucdipm.py
@@ -0,0 +1,29 @@
+import requests
+import pandas as pd
+import io
+
+UCD_IPM_URL = "https://ipm.ucanr.edu/weather/weather-data-export.cfm"
+
+
+def get_weather_data(start_date, end_date, stnKey=281):
+    url = f"{UCD_IPM_URL}?stnKey={stnKey}&startDate={start_date}&endDate={end_date}&unit=f&interval=1440&weatherApp=caWeatherApp&export=text"
+    response = requests.get(url)
+    assert response.status_code == 200
+    df = pd.read_csv(io.StringIO(response.text), skiprows=6, delimiter="\t")
+    df.index = pd.to_datetime(df["Date"])
+    df.index.freq = pd.infer_freq(df.index)
+    df.drop(columns=["Date"], inplace=True)
+    return df
+
+
+# argparse for calling get_weather_data from command line
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("start_date", help="Start date in format YYYY-MM-DD")
+    parser.add_argument("end_date", help="End date in format YYYY-MM-DD")
+    parser.add_argument("--stnKey", help="Station key", default=281)
+    args = parser.parse_args()
+    df = get_weather_data(args.start_date, args.end_date)
+    df.to_csv(f"ucdipm_{args.stnKey}.csv")