Collect open-meteo data from different points in a country instead of a single point

[CarlosGDCJ]

The open-meteo API allows us to specify coordinates from where the information comes from. Currently our information comes from a single point. Maybe we could sample data from various points in a country an use that in our models.

[CarlosGDCJ]

Taking a better look at the open-meteo API, it seems the data has a resolution of 10Km (0.1°), which is not exactly a point, but may be small enough that it's still an issue.

[haniyrasul]

I'll look into that !

[CarlosGDCJ]

I've assigned it to you @haniyrasul. I expect you to:

• Define relevant locations in Myanmar for us to get the data from
• Write code to query the open-meteo API for historical data on each of the defined locations

Remember to put your work in a new branch.

[haniyrasul]

• I've found an Excel sheet with the top 50 cities in Myanmar, including their latitude and longitude.
• This data is sourced from the open-meteo API's historical weather API, which offers two methods:

  ERA5 and ERA5-Land. These methods provide weather data with resolutions of 25km and 11km respectively.

• Should I scrape the data using different latitude and longitude values, or should I manually create an Excel sheet by providing these parameters?"

[CarlosGDCJ]

50 cities sound like too much. From these 50 you can choose 10. Remember that we don't want the most important cities. We want cities that are located all around the country.

To get the data you should use the latitude and longitude values. Remember to do that by querying the API. You can use the open_meteo.py script as a reference.

[haniyrasul]

Thanks, I'll work along this way.