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https://github.com/alvarofpp/dataset-inmet
This repository has scripts that allow you to generate INMET datasets for public weather stations.
https://github.com/alvarofpp/dataset-inmet
brazil csv dataset inmet python3 weather
Last synced: 2 days ago
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This repository has scripts that allow you to generate INMET datasets for public weather stations.
- Host: GitHub
- URL: https://github.com/alvarofpp/dataset-inmet
- Owner: alvarofpp
- License: other
- Created: 2020-10-26T00:25:40.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-02-24T21:18:33.000Z (9 months ago)
- Last Synced: 2024-02-24T22:27:55.843Z (9 months ago)
- Topics: brazil, csv, dataset, inmet, python3, weather
- Language: Python
- Homepage:
- Size: 3.91 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# INMET datasets
This repository has scripts that allow you to generate INMET datasets for public weather stations.
## Datasets
You can find the datasets in `data/`.
### [`metadata.csv`](data/metadata.csv)
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` |
### [`WMO_code.csv`](data/filter_wmo/A304.csv)
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"` |
## Scripts
- `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.
## Generate
In your environment:
```shell
# 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.py
```
> In `transform_filter_wmo.py`,
You must change the value of `code_wmo` to 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.
## Contributing
Contributions are more than welcome. Fork, improve and make a pull request.
For bugs, ideas for improvement or other, please create an
[issue](https://github.com/alvarofpp/dataset-inmet/issues).
## License
This project is licensed under the CDLA-Sharing-1.0 License - see the [LICENSE](LICENSE)
file for details.