Update README with data loading samples + fixed info

README.md

@@ -81,6 +81,54 @@ Data variables:
 The topography data is provided in the chunks cut around each of the SMHI stations.
 The corners of each chunk correspond to ECMWF forecast grid points.
 
-Each chunk consists 361 x 361 points, spanning across 0.1° x 0.1°. (Some of the values across longitudes are NaN since apparently the Earth is not square [citation needed]).
+Each chunk consists approximately 361 x 361 points, spanning across 0.1° x 0.1°. (Some of the values across longitudes are NaN since apparently the Earth is not square [citation needed]).
 
 ![Sample topography map](./assets/elevation_data_sample_0_1_degree.png)
+
+## Loading the data
+
+The dependencies can be installed through `conda` or `mamba` in the following way:
+
+```bash
+mamba create -n ourenv python pandas xarray dask netCDF4
+```
+
+---
+
+Below, for a given SMHI weather observation station, we read the following data:
+- weather observations
+- historical ECMWF weather forecasts
+- topography/elevation
+
+```python
+import pandas as pd
+import xarray as xr
+
+smhi_weather_observation_station_index = 153
+smhi_weather_observation_station_id = pd.read_csv(
+    './smhi_weather_observation_stations.csv',
+    index_col='station_index'
+).loc[smhi_weather_observation_station_index]['id'] # 102540
+
+weather_parameter = 1 # temperature
+
+# NOTE: Need to unzip the file first!
+smhi_observation_data = pd.read_csv(
+    './weather_observations/smhi_observations_from_2020/'
+    f'parameter_{weather_parameter}'
+    f'/smhi_weather_param_{weather_parameter}_station_{smhi_weather_observation_station_id}.csv',
+    sep=';',
+)
+print(smhi_observation_data)
+
+ecmwf_data = xr.open_dataset(
+    './ecmwf_historical_weather_forecasts/ECMWF_HRES-reindexed.nc'
+).sel(station_index=smhi_weather_observation_station_index)
+print(ecmwf_data)
+
+topography_data = xr.open_dataset(
+    'topography/sweden_chunks_copernicus-dem-30m'
+    f'/topography_chunk_station_index-{smhi_weather_observation_station_index}.nc'
+)
+print(topography_data)
+```