diff --git a/.idea/barra2-dl.iml b/.idea/barra2-dl.iml
index 836b6f8..be9e8b5 100644
--- a/.idea/barra2-dl.iml
+++ b/.idea/barra2-dl.iml
@@ -1,13 +1,21 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="jdk" jdkName="Python 3.12 (Custom)" jdkType="Python SDK" />
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.cache" />
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+      <excludeFolder url="file://$MODULE_DIR$/htmlcov" />
+      <excludeFolder url="file://$MODULE_DIR$/tests/htmlcov" />
+      <excludeFolder url="file://$MODULE_DIR$/tests/test_cache" />
+      <excludeFolder url="file://$MODULE_DIR$/tests/test_combined" />
+      <excludeFolder url="file://$MODULE_DIR$/tests/test_download" />
+    </content>
+    <orderEntry type="jdk" jdkName="Poetry (barra2-dl)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyDocumentationSettings">
-    <option name="format" value="PLAIN" />
-    <option name="myDocStringFormat" value="Plain" />
+    <option name="format" value="GOOGLE" />
+    <option name="myDocStringFormat" value="Google" />
   </component>
   <component name="TestRunnerService">
     <option name="PROJECT_TEST_RUNNER" value="py.test" />
diff --git a/.idea/misc.xml b/.idea/misc.xml
index 15fb632..3fc1e0f 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -3,5 +3,5 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.12 (Custom)" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.12 (Custom)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Poetry (barra2-dl)" project-jdk-type="Python SDK" />
 </project>
\ No newline at end of file
diff --git a/barra2_dl/__init__.py b/barra2_dl/__init__.py
index e69de29..f1c931d 100644
--- a/barra2_dl/__init__.py
+++ b/barra2_dl/__init__.py
@@ -0,0 +1 @@
+from . import globals, helpers, downloaders
diff --git a/barra2_dl/downloaders.py b/barra2_dl/downloaders.py
new file mode 100644
index 0000000..18a8eb0
--- /dev/null
+++ b/barra2_dl/downloaders.py
@@ -0,0 +1,104 @@
+"""
+This module contains the barra2 download function(s) .
+"""
+import requests
+from datetime import datetime, timedelta
+from pathlib import Path
+import calendar
+from .helpers import list_months
+from .globals import LatLonPoint, LatLonBBox, barra2_index
+
+
+def download_file(url: str,
+                  folder_path: str | Path,
+                  file_name: str,
+                  create_folder: bool = False) -> None:
+    """Download the file from the url and saves it as folder_path/filename.
+    If the downloads folder does not exist, it will be created due to the create_folder=True argument.
+    Args:
+        url: The URL of the file to be downloaded.
+        folder_path: The path where the file should be saved.
+        file_name: The name to save the downloaded file as.
+        create_folder: If True, creates the folder if it does not exist; otherwise, exits if the folder doesn't exist.
+    Returns:
+        None
+    """
+    folder = Path(folder_path)
+    file = folder / file_name
+
+    # Check if the folder exists
+    if not folder.exists():
+        if create_folder:
+            folder.mkdir(parents=True)
+            print(f"The folder '{folder_path}' was created.")
+        else:
+            print(f"The folder '{folder_path}' does not exist. Exiting...")
+            return
+
+    # Check if the file already exists
+    if file.exists():
+        print(f"The file '{file_name}' already exists in the folder '{folder_path}'.")
+    else:
+        # Download the URL to the file
+        response = requests.get(url)
+        file.write_bytes(response.content)
+        print(f"File '{file_name}' has been downloaded to '{folder_path}'.")
+
+    return
+
+
+def barra2_point_downloader(base_url: str,
+                            barra2_var: list,
+                            lat_lon_point: LatLonPoint,
+                            start_datetime: str | datetime,
+                            end_datetime: str | datetime,
+                            fileout_prefix: str,
+                            fileout_folder: str = 'cache',
+                            fileout_type: str = 'csv_file') -> None:
+    """Download barra2 data based on the url and variables list
+    for each month between start and end datetime.
+
+    Args:
+        base_url (str): Use from barra2-dl.globals or set explicitly
+        barra2_var (list): Use from barra2-dl.globals or set explicitly
+        lat_lon_point (LatLonPoint: TypedDict): Use custom class for barra2-dl.globals or as Dict{'lat':float, 'lon':float}
+        start_datetime (str | datetime): Used to define start of inclusive download period
+        end_datetime (str | datetime): Used to define end of inclusive download period
+        fileout_prefix (str): Optional prefix for downloaded file. E.g. location reference.
+        fileout_folder (str): Relative or absolute path for downloaded files
+        fileout_type (str): Output file option, 'csv_file'
+
+    Returns:
+        Downloaded files into fileout_folder as f'{fileout_prefix}_{var}_{time_start[:10]}_{time_end[:10]}.csv'
+
+    Todo:
+        Add set list of output format options
+        Change from using os to pathlib
+
+    """
+
+    # loop through each variable requested for download as each variable is saved in a separate url
+    for var in barra2_var:
+        # loop through each month as each BARRA2 file is saved by month
+        for date in list_months(start_datetime, end_datetime, freq="MS"):
+            year = date.year
+            month = date.month
+            time_start = date.isoformat() + 'Z'
+            # Get the number of days in the current month
+            days_in_month = calendar.monthrange(year, month)[1]
+            time_end = (date + timedelta(days=days_in_month) + timedelta(hours=-1)).isoformat() + 'Z'
+
+            # update thredds_base_url and set as url for request
+            url = base_url.format(var=var, year=year, month=month)
+
+            # add url parameters to base_url
+            url += f"?var={var}&latitude={lat_lon_point['lat']}&longitude={lat_lon_point['lon']}&time_start={time_start}&time_end={time_end}&accept={fileout_type}"
+            fileout_name = f'{fileout_prefix}_{var}_{time_start[:10]}_{time_end[:10]}.csv'
+            folder_path = fileout_folder
+            download_file(url, folder_path, fileout_name, create_folder=True)
+
+    return
+
+
+
+
diff --git a/barra2_dl/globals.py b/barra2_dl/globals.py
index e69de29..79f09e5 100644
--- a/barra2_dl/globals.py
+++ b/barra2_dl/globals.py
@@ -0,0 +1,62 @@
+"""
+This module contains global or default variables required to download barra2-dl data from thredds.nci.org.au.
+"""
+from typing import TypedDict
+
+# -----------------------------------------------------------------------------
+# CLASSES
+# -----------------------------------------------------------------------------
+
+class LatLonPoint(TypedDict):
+    """TypedDict to store a point as latitude and longitude.
+
+    Attributes:
+        lat (float): latitude.
+        lon (float): longitude.
+
+    """
+    lat: float
+    lon: float
+
+
+class LatLonBBox(TypedDict):
+    """TypedDict to store a north south east west bounding box by latitude and longitude.
+
+        Attributes:
+            north (float): latitude.
+            south (float): latitude.
+            east (float): longitude.
+            west (float): longitude.
+
+        Todo:
+        Add checks to make sure co-ordinates are correct with respect to each other.
+        """
+    north: float
+    south: float
+    east: float
+    west: float
+
+# -----------------------------------------------------------------------------
+# VARIABLES
+# -----------------------------------------------------------------------------
+
+# barra2_aus11_extents
+barra2_aus11_lat_lon_bbox = LatLonBBox(north=-23.0, west=133.0, east=134.0, south=-24)
+
+# base thredds url for BARRA2 11km 1hour reanalysis data
+barra2_aus11_csv_url = ("https://thredds.nci.org.au/thredds/ncss/grid/ob53/output/reanalysis/AUS-11/BOM/ERA5"
+                        "/historical/hres/BARRA-R2/v1/1hr/{var}/latest/"
+                        "{var}_AUS-11_ERA5_historical_hres_BOM_BARRA-R2_v1_1hr_{year}{month:02d}-{year}{month:02d}.nc")
+
+# index for barra2 used to join separate files
+barra2_index = ['time', 'station', 'latitude[unit="degrees_north"]', 'longitude[unit="degrees_east"]']
+
+# set list of BARRA2 variables to download default list is eastward wind (ua*), northward wind (va*), and air temperature at 50m (ta50m)
+barra2_var_wind_all = ["ua50m", "va50m", "ua100m", "va100m", "ua150m", "va150m", "ta50m"]
+
+# optional limited variables to test
+barra2_var_wind_50m = ["ua50m", "va50m", "ta50m"]
+
+# output file format todo add list of output format options
+point_output_format = "csv_file"
+# grid_output_format = "netcdf3"
diff --git a/barra2_dl/helpers.py b/barra2_dl/helpers.py
new file mode 100644
index 0000000..8880918
--- /dev/null
+++ b/barra2_dl/helpers.py
@@ -0,0 +1,164 @@
+"""
+This module contains helper functions.
+"""
+
+import pandas as pd
+import fnmatch
+from pathlib import Path
+from typing import List
+
+
+def list_months(start_datetime: str, end_datetime: str, freq: str ='MS', **kwargs) -> list:
+    """Generate list of months from input start and end datetime for url file loop.
+
+    Args:
+        freq:
+        start_datetime: str or datetime-like, Left bound for generating dates.
+        end_datetime: str or datetime-like, Left bound for generating dates.
+        **kwargs:
+
+    Returns:
+        list
+    """
+    df_to_list = pd.date_range(start=start_datetime, end=end_datetime, freq=freq, **kwargs).tolist()
+    return df_to_list
+
+
+def list_csv_files(folder_path):
+    """
+    List all CSV files in the given folder.
+
+    Args:
+        folder_path (str): The path to the folder containing the CSV files.
+
+    Returns:
+        list: A list of CSV file names in the folder.
+    """
+    folder = Path(folder_path)
+    csv_files = [file.name for file in folder.glob('*.csv')]
+    return csv_files
+
+
+def filter_list_using_wildcard(input_list: list[str], pattern:str):
+    """
+    Filter a list using a wildcard pattern.
+
+    Args:
+        input_list (list[str]): The list of strings to be filtered.
+        pattern (str): The wildcard pattern to filter the list.
+
+    Returns:
+        list: A list of strings that match the wildcard pattern.
+    """
+    filtered_list = fnmatch.filter(input_list, pattern)
+    return filtered_list
+
+
+def merge_csv_files_to_dataframe(filein_folder: str,
+                    filename_pattern: str = '*.csv',
+                    index_for_join: str = None) -> pd.DataFrame:
+    """
+    Merge csv files from a folder based on optional filename wildcard using fnmatch.
+    If filename wildcard is omitted all csv files in the folder will be merged.
+    If fileout_folder is omitted the merged file will be saved in the filein_folder.
+
+    Args:
+        filein_folder (str): Optional
+        filename_pattern (str):
+        index_for_join (str):
+
+    Returns:
+        return_type: None.
+
+    Todo:
+        Change from using os to pathlib
+    """
+
+    # todo add .csv check for filename_prefix
+
+
+    # list all csv files in folder
+    csv_files = list_csv_files(filein_folder)
+
+    # filter csv files
+    csv_files_filtered = filter_list_using_wildcard(csv_files, filename_pattern)
+
+    # initiate dataframe for combined csv results
+    df_combined = pd.DataFrame()
+
+    for file in Path(filein_folder).glob(filename_pattern):
+        if df_combined.empty:
+            # read csv file without indexing to retain time as column for join
+            df_combined = pd.read_csv(file)
+        else:
+            # read next file into new df
+            df_add = pd.read_csv(file)
+            # combine on index join if not None, otherwise just concat together
+            if index_for_join is not None:
+                df_combined = df_combined.join(df_add.set_index(index_for_join),on=index_for_join)
+            else:
+                df_combined = pd.concat([df_combined, df_add], ignore_index = True)
+
+    return df_combined
+
+
+def export_dataframe_to_csv(dataframe: pd.DataFrame,
+                            fileout_folder: str | Path,
+                            fileout_name: str,
+                            create_folder: bool = True) -> None:
+    """
+    Export a DataFrame to a CSV file in the specified folder with the given file name.
+
+    Args:
+        dataframe (pd.DataFrame): The Pandas DataFrame to export.
+        fileout_folder (str or Path): The path to the folder where the CSV file will be saved.
+        fileout_name (str): The name of the CSV file to save.
+        create_folder (bool): If True, creates the folder if it does not exist; otherwise, exits if the folder doesn't exist.
+
+    Returns:
+        Path: The path of the saved CSV file.
+    """
+    fileout_folder = Path(fileout_folder)
+    # Check if the folder exists
+    if not fileout_folder.exists():
+        if create_folder:
+            fileout_folder.mkdir(parents=True)
+            print(f"The folder '{fileout_folder}' was created.")
+        else:
+            print(f"The folder '{fileout_folder}' does not exist. Exiting...")
+            return
+
+    # Define the full path for the CSV file
+    fileout_path_name = fileout_folder / fileout_name
+
+    # Export the DataFrame to CSV
+    dataframe.to_csv(fileout_path_name, index=False)
+
+    return fileout_path_name
+
+
+def get_timestamp_range_list(dataframe: pd.DataFrame, timestamp_column: str) -> List[pd.Timestamp]:
+    """
+    Get a list containing the range between the first and last timestamp in the specified column of the DataFrame.
+
+    Args:
+        dataframe (pd.DataFrame): The DataFrame containing the timestamp column.
+        timestamp_column (str): The name of the timestamp column in the DataFrame.
+
+    Returns:
+        list: A list containing the first and last timestamp.
+    """
+    if timestamp_column not in dataframe.columns:
+        raise ValueError(f"Column '{timestamp_column}' does not exist in the DataFrame.")
+
+    # Ensure the column is of datetime type
+    dataframe[timestamp_column] = pd.to_datetime(dataframe[timestamp_column])
+
+    # Sort the DataFrame by the timestamp column
+    dataframe = dataframe.sort_values(by=timestamp_column)
+
+    # Get the first and last timestamp
+    first_timestamp = dataframe[timestamp_column].iloc[0]
+    last_timestamp = dataframe[timestamp_column].iloc[-1]
+
+    return [first_timestamp, last_timestamp]
diff --git a/poetry.lock b/poetry.lock
index d64b431..95e559f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "alabaster"
@@ -1090,6 +1090,122 @@ doc = ["sphinx", "sphinx-gitref", "sphinx_rtd_theme", "sphobjinv"]
 lint = ["pylint"]
 test = ["freezegun", "pytest", "pytest-cov", "pytest-datadir", "pytest-socket", "pytest-testmon", "pytest-watch", "responses", "testfixtures"]
 
+[[package]]
+name = "numpy"
+version = "2.0.2"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece"},
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+    {file = "ruamel.yaml.clib-0.2.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a75879bacf2c987c003368cf14bed0ffe99e8e85acfa6c0bfffc21a090f16880"},
     {file = "ruamel.yaml.clib-0.2.8-cp39-cp39-win32.whl", hash = "sha256:84b554931e932c46f94ab306913ad7e11bba988104c5cff26d90d03f68258cd5"},
     {file = "ruamel.yaml.clib-0.2.8-cp39-cp39-win_amd64.whl", hash = "sha256:25ac8c08322002b06fa1d49d1646181f0b2c72f5cbc15a85e80b4c30a544bb15"},
     {file = "ruamel.yaml.clib-0.2.8.tar.gz", hash = "sha256:beb2e0404003de9a4cab9753a8805a8fe9320ee6673136ed7f04255fe60bb512"},
@@ -1772,6 +2035,17 @@ files = [
     {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
 ]
 
+[[package]]
+name = "tzdata"
+version = "2024.2"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
+    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
+]
+
 [[package]]
 name = "url-normalize"
 version = "1.4.3"
@@ -1868,4 +2142,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "68de22ca3a125ec7269fd9e2536f3c1022249744056f801a33f5d11b3f357484"
+content-hash = "6924569113877b7f5065dd555a3f81fcecb7b4e438bdb0d60e30d1b16cb711cc"
diff --git a/pyproject.toml b/pyproject.toml
index bb7e768..dc5618d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,6 +26,9 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = "^3.9"
+pandas = "^2.2.3"
+pathlib = "^1.0.1"
+requests = "^2.32.3"
 
 [tool.poetry.group.dev.dependencies]
 mypy = "^1.8"
diff --git a/scripts/barra2_downloader_example.py b/scripts/barra2_downloader_example.py
new file mode 100644
index 0000000..3120021
--- /dev/null
+++ b/scripts/barra2_downloader_example.py
@@ -0,0 +1,50 @@
+"""
+Example for using barra2-dl to download files
+"""
+
+import barra2_dl
+from datetime import datetime
+from barra2_dl.globals import barra2_aus11_csv_url, barra2_var_wind_all, barra2_var_wind_50m, barra2_index
+
+# relative directory for caching downloaded files
+cache_dir = r'scripts\cache'
+output_dir = r'scripts\output'
+
+# -----------------------------------------------------------------------------
+# CUSTOMS
+# -----------------------------------------------------------------------------
+
+# set location todo implement grid netCDF download
+lat_lon_point = dict(lat=-23.5527472, lon=133.3961111)
+
+# set time ref https://stackoverflow.com/questions/17594298/date-time-formats-in-python
+start_datetime = datetime.strptime("2023-01-01T00:00:00Z", "%Y-%m-%dT%H:%M:%SZ")
+end_datetime = datetime.strptime("2023-03-31T23:00:00Z", "%Y-%m-%dT%H:%M:%SZ")
+
+# set output file custom name prefix to indicate a device or project location for the downloaded data
+output_filename_prefix = "test"
+
+
+# -----------------------------------------------------------------------------
+# RUNTIME PROCEDURE
+# -----------------------------------------------------------------------------
+def main():
+    """runtime for tryBARRA2"""
+    barra2_dl.downloaders.barra2_point_downloader(barra2_aus11_csv_url,
+                                                  barra2_var_wind_50m,
+                                                  lat_lon_point,
+                                                  start_datetime,
+                                                  end_datetime,
+                                                  fileout_prefix = 'demo',
+                                                  fileout_folder=r'scripts\cache',
+                                                  )
+
+    # todo moved from original runtime
+    # export combined to csv
+    # df_combined.to_csv(
+    #     os.path.join(output_dir,
+    #                  f"{output_filename_prefix}_combined_{start_date_time.strftime("%Y%m%d")}_{end_date_time.strftime("%Y%m%d")}.csv"))
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tests/test_downloader.py b/tests/test_downloader.py
new file mode 100644
index 0000000..cd22760
--- /dev/null
+++ b/tests/test_downloader.py
@@ -0,0 +1,14 @@
+import pytest
+
+from barra2_dl import downloaders
+from barra2_dl.globals import *
+
+@pytest.mark.parametrize(('first', 'second', 'expected'), [
+    (1, 2, 3),
+    (2, 4, 6),
+    (-2, -3, -5),
+    (-5, 5, 0),
+])
+def test_some_function(first: int, second: int, expected: int) -> None:
+    """Example test with parametrization."""
+    assert some_function(first, second) == expected
diff --git a/tests/test_helpers.py b/tests/test_helpers.py
new file mode 100644
index 0000000..3506e97
--- /dev/null
+++ b/tests/test_helpers.py
@@ -0,0 +1,27 @@
+import pytest
+
+import pandas as pd
+
+from barra2_dl import helpers
+
+@pytest.mark.parametrize(('start_datetime', 'end_datetime', 'expected'), [
+                            ('1/1/2023','1/1/2024',
+                            [pd.Timestamp('2023-01-01 00:00:00'),
+                            pd.Timestamp('2023-02-01 00:00:00'),
+                            pd.Timestamp('2023-03-01 00:00:00'),
+                            pd.Timestamp('2023-04-01 00:00:00'),
+                            pd.Timestamp('2023-05-01 00:00:00'),
+                            pd.Timestamp('2023-06-01 00:00:00'),
+                            pd.Timestamp('2023-07-01 00:00:00'),
+                            pd.Timestamp('2023-08-01 00:00:00'),
+                            pd.Timestamp('2023-09-01 00:00:00'),
+                            pd.Timestamp('2023-10-01 00:00:00'),
+                            pd.Timestamp('2023-11-01 00:00:00'),
+                            pd.Timestamp('2023-12-01 00:00:00'),
+                            pd.Timestamp('2024-01-01 00:00:00')]
+                           ),
+])
+def test_list_months(start_datetime: str, end_datetime: str, expected: list) -> None:
+    """Test with parametrization."""
+    assert helpers.list_months(start_datetime, end_datetime) == expected
+