MetOffice / MetOffice/data_science_cop

create examples of using os data hub for weather and climate

Open
#61 0 comments 0 reactions 0 assignees View on GitHub
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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.