CONTRIBUTOR INTRODUCTION

[Charandeep2]

Hi I’m new to open climate fix and would love to contribute here.
I’ve been exploring the code and would like to work on the issues in the code

[AUdaltsova]

Hey @Charandeep2! Welcome, it's great to have you here. We have lots of different ways you can contribute. But we would recommend checking out any open issues on:

Open Data PVNet
We're building an open-source solar forecasting pipeline to integrate with OCF's PVNet model, using publicly available Numerical Weather Prediction data to forecast solar generation at the national level.

Global Solar Forecast
We're building a lightweight solar forecast that can be used all over the world.

You can view the Open Data PVNet documentation here which is a good place to get started.

@emlweb just tagging you as well in case there are questions!

[Her0n24]

Hello, I'm also new to open source and Open climate fix, while having background in meteorology so the project is very interesting to me. I'm still in the process of going through the repos, but thank you @AUdaltsova for pointing us to the two repos up there which looks to be in active development.

One quick question: on top of the overall onboarding guide, individual repos also have their own installation and development setup guide. While I was browsing q, I found the requirements.txt maybe missing. Is the guide on that repo outdated or did I just miss something?

I understand it's better to go deep and specialize, so I might just focus on the two repos given here.

[aryarathoree]

Hii @AUdaltsova and @emlweb
I would like to contribute to OCF. Here is my previously open issue and PR.
Issue : openclimatefix/graph_weather#190
PR: openclimatefix/graph_weather#195
Thankyou

[Manaswimishr]

Hi everyone!
I'm a 2nd year CS student from Delhi. Living here, air pollution and climate impact aren't just topics I read about - they're something I deal with daily, which is what drew me to Open Climate Fix's work.
I'm currently participating in a Climate Data Hackathon focused on Delhi's air pollution track, where we're working on real-world air pollution challenges using AI and data. So this space feels very relevant and personal to me right now.
I've been exploring the graph_weather repository and have been looking at some of the open issues - particularly around input validation and error handling. I've cloned the repo locally and am starting to understand the structure.
Looking forward to contributing and learning from this community!