This repository has scripts that allow you to generate INMET datasets for public weather stations.
You can find the datasets in data/.
Weather station data.
| Column | Type | Description | Example |
|---|---|---|---|
| region | string |
Region in which the weather station is located. | "CO" |
| federal_unit | string |
Federal unit in which the weather station is located. | "DF" |
| station | string |
Name of the weather station. | "AGUAS EMENDADAS" |
| code_wmo | string |
WMO code of the weather station. | "A045" |
| latitude | float |
Latitude of the weather station's geographical position. | -15.596491 |
| longitude | float |
Longitude of the weather station's geographical position. | -47.625801 |
| altitude | float |
Altitude of the weather station's geographical position. | 1030.36 |
| foundation_date | date |
Date the weather station was founded. | 2008-10-03 |
Dataset generated after running transform_filter_wmo.py (e.g. A304.csv).
| Column | Type | Description | Example |
|---|---|---|---|
| date | date |
Date of record (YYYY-MM-DD). |
2003-02-24 |
| time | string |
Time of record (HH:mm), UTC. |
"10:00" |
| precipitation_total | float |
Total precipitation (mm). | 0.0 |
| atmospheric_pressure_station_level | float |
Atmospheric pressure at station level, hourly (mB). | 1009.0 |
| atmospheric_pressure_max_before | float |
Max. atmospheric pressure at time before (mB). | 1009.0 |
| atmospheric_pressure_min_before | float |
Min. atmospheric pressure at time before (mB). | 1008.5 |
| global_radiation | float |
Global radiation (Kj/m²). | 1392.0 |
| temperature_air_dry_bulb | float |
Air temperature - dry bulb, hourly (°C). | 23.2 |
| temperature_dew | float |
Dew point temperature (°C). | 22.1 |
| temperature_max_before | float |
Max. temperature at time before (°C). | 23.2 |
| temperature_min_before | float |
Min. temperature at time before (°C). | 22.9 |
| temperature_dew_max_before | float |
Max. dew temperature at time before (°C). | 22.1 |
| temperature_dew_min_before | float |
Min. dew temperature at time before (°C). | 21.6 |
| humidity_relative_max_before | float |
Humidity relative maximum at time before (%). | 94.0 |
| humidity_relative_min_before | float |
Humidity relative minimum at time before (%). | 93.0 |
| humidity_relative_air | float |
Relative air humidity, hourly (%). | 93.0 |
| wind_direction | float |
Wind, hourly direction (gr) (° (gr)). | 318.0 |
| wind_blast | float |
Wind, maximum rain (m/s). | 3.5 |
| wind_speed | float |
Wind, time speed (m/s). | 1.5 |
| wmo_code | string |
WMO code. | "A304" |
extract_zip.py- Download data from INMET.transform_zip_to_unzip.py- Unzip the INMET zip files.transform_combine_unzip_by_year.py- Groups all files from the same year into a single file.transform_filter_wmo.py- Generates a file with all the records of a weather station.
In your environment:
# Install requirements for scripts
pip install -r requirements.txt
# Run the scripts in this order
python3 extract_zip.py
python3 transform_zip_to_unzip.py
python3 transform_combine_unzip_by_year.py
python3 transform_filter_wmo.pyIn
transform_filter_wmo.py, You must change the value ofcode_wmoto the WMO of the desired weather station.
If you have Docker and Makefile installed on your machine,
you can execute the make build command to create the image,
followed by make shell to access a container and execute
the aforementioned steps to generate the files.
Contributions are more than welcome. Fork, improve and make a pull request. For bugs, ideas for improvement or other, please create an issue.
This project is licensed under the CDLA-Sharing-1.0 License - see the LICENSE file for details.