MetOffice / MetOffice/data_science_cop
create examples of using os data hub for weather and climate
- Dominant language
- Jupyter Notebook
- Stars
- 26
- Forks
- 10
- Avg merge
- 7d 16m
- Merged PRs (30d)
- 1
Description
Create some examples of using OS data hub
* get observation within various administrative boundaries
* find weather along motorways
* explore national geographic database
* terrain models for downscaling
[https://www.ordnancesurvey.co.uk/products/os-terrain-50](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ordnancesurvey.co.uk%2Fproducts%2Fos-terrain-50&data=05%7C02%7Cstephen.haddad%40metoffice.gov.uk%7C41103714a79b4918f62308ded38683a1%7C17f1816120d7474687fd50fe3e3b6619%7C0%7C0%7C639180771860002813%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=NQSMfwvbemxRRNvihSgMavbkYzseQpL%2FAvxORbt%2FuRY%3D&reserved=0)
[https://github.com/OrdnanceSurvey/os-data-hub-tutorials/tree/main/data-science/price-paid-spatial-distribution](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FOrdnanceSurvey%2Fos-data-hub-tutorials%2Ftree%2Fmain%2Fdata-science%2Fprice-paid-spatial-distribution&data=05%7C02%7Cstephen.haddad%40metoffice.gov.uk%7C41103714a79b4918f62308ded38683a1%7C17f1816120d7474687fd50fe3e3b6619%7C0%7C0%7C639180771860044984%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2B2mwxBdIumfAZP34lUFTNn2nWRzMhqBBRY2nzIUmPkY%3D&reserved=0)
[https://www.ordnancesurvey.co.uk/products/os-ngd](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ordnancesurvey.co.uk%2Fproducts%2Fos-ngd&data=05%7C02%7Cstephen.haddad%40metoffice.gov.uk%7C41103714a79b4918f62308ded38683a1%7C17f1816120d7474687fd50fe3e3b6619%7C0%7C0%7C639180771860068271%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=DShEWidLo9FmkQd4A3KDXUeayTj6YAeyp1vdJN9msB8%3D&reserved=0)
[https://docs.os.uk/os-apis/accessing-os-apis/os-ngd-api-features](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.os.uk%2Fos-apis%2Faccessing-os-apis%2Fos-ngd-api-features&data=05%7C02%7Cstephen.haddad%40metoffice.gov.uk%7C41103714a79b4918f62308ded38683a1%7C17f1816120d7474687fd50fe3e3b6619%7C0%7C0%7C639180771860089745%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=MfnqWbt2lRr9hTSA8tjelh4ObNy9VMxN5soWI3QN92U%3D&reserved=0)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the existing data-science/price-paid-spatial-distribution example and the linked OS NGD API Features documentation. Use the OS Data Hub and OS Terrain 50 references to determine suitable approaches for administrative boundaries, motorways, national geographic data, and terrain-based downscaling. Done means examples cover the listed weather and climate use cases and are understandable as tutorial material.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data, documentation
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100