Hi all
I'll be attending #AGU22 in-person and I'm looking for people to meet and chat about a couple of different topics (for details see my replies to this post).
1. Caravan dataset #opendata
2. Operational #flood #forecasting
3. ML-based World/Landsurface models
4. Explainable AI
5. NeuralHydrology (#Python library)
6. Anything else you are passionate that you want to share with me.
Reach out via reply, direct message or email.
Boosts highly appreciated
1. Caravan dataset #opendata
I strongly believe that #opendata is important to advance #science. If you have access to streamflow data that you are allowed to share but you don't want to spend months preparing a #rainfall #runoff dataset, let's meet and see if contributing to the Caravan community dataset could be an option.
For details about Caravan, see https://github.com/kratzert/Caravan
2. Operational #flood #forecasting
At Google, we are working towards a flood forecasting system with global coverage. Our models are already operational in several regions/countries of the world and I am happy to chat with people from the same area to exchange experiences and ideas related to operational modeling.
3. ML-based World/Landsurface models
If you are working on machine learning based foundational/landsurface models I would be very happy to have a chat and to learn more about your research!
4. Explainable AI
Trying to understand what ML-based models learn is interesting me for several years now. For example, why is the LSTM so much better in modeling the rainfall-runoff system than any physical/conceptual model, using the same input data? Is there anything we can learn from this model that we can then integrate into conceptual/physical models?
5. NeuralHydrology (#Python library)
I'm a strong advocate of #reproducibility and #opensource software. As such, we open sourced our research library NeuralHydrology many years ago, trying to make our tools easily accessible to the wider community. If you are using NeuralHydrology in your research and have feedback/feature requests that you would like to share, please contact me.
6. Anything else!
You are passionate about your research and you think that I might be interested, then reach out and let's meet for a coffee/tea/whatever and let me know about your work. I am always happy to hear about other peoples work/ideas!
One of my favorite examples of this is this beautiful paper by Juan Carrasquilla and Roger Melko: https://arxiv.org/abs/1605.01735
@cr thanks, I'll add that to my reading list