Duncan Watson-Parris
@dwatsonparris.bsky.social
Climate scientist @UCSD using machine learning to improve our understanding of clouds and aerosols. 🏄♂️
Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/
Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/
Huge congrats to co-leads Ellen H. Davenport & J. Varan Madan!
📦 pip install jcm 📄 Paper: egusphere.copernicus.org/preprints/20... 💻 Code: github.com/climate-anal...
📦 pip install jcm 📄 Paper: egusphere.copernicus.org/preprints/20... 💻 Code: github.com/climate-anal...
GitHub - climate-analytics-lab/jax-gcm: GCM Physics written in JAX
GCM Physics written in JAX. Contribute to climate-analytics-lab/jax-gcm development by creating an account on GitHub.
github.com
January 26, 2026 at 10:30 PM
Huge congrats to co-leads Ellen H. Davenport & J. Varan Madan!
📦 pip install jcm 📄 Paper: egusphere.copernicus.org/preprints/20... 💻 Code: github.com/climate-anal...
📦 pip install jcm 📄 Paper: egusphere.copernicus.org/preprints/20... 💻 Code: github.com/climate-anal...
We're just getting started. 🔮
This release sets the stage for a fully coupled, differentiable Earth System Model. We are actively developing this next phase with colleagues at U Copenhagen, Columbia, DLR, and AI2.
Watch this space...
This release sets the stage for a fully coupled, differentiable Earth System Model. We are actively developing this next phase with colleagues at U Copenhagen, Columbia, DLR, and AI2.
Watch this space...
January 26, 2026 at 10:30 PM
We're just getting started. 🔮
This release sets the stage for a fully coupled, differentiable Earth System Model. We are actively developing this next phase with colleagues at U Copenhagen, Columbia, DLR, and AI2.
Watch this space...
This release sets the stage for a fully coupled, differentiable Earth System Model. We are actively developing this next phase with colleagues at U Copenhagen, Columbia, DLR, and AI2.
Watch this space...
Key Innovations: ⚡️ True Differentiability: Direct gradients for calibration & ML integration. 🧩 Modular: Couples SPEEDY physics to the Dinosaur dynamical core. 🚀 Portable: Seamless on CPUs, GPUs, & TPUs. ✅ Validated: Matches Fortran SPEEDY at T31.
January 26, 2026 at 10:30 PM
Key Innovations: ⚡️ True Differentiability: Direct gradients for calibration & ML integration. 🧩 Modular: Couples SPEEDY physics to the Dinosaur dynamical core. 🚀 Portable: Seamless on CPUs, GPUs, & TPUs. ✅ Validated: Matches Fortran SPEEDY at T31.
September 18, 2025 at 7:38 PM
Chris gave one of our opening talks a few years ago and I can't wait to hear about his vision for the future of the field.
The talk will be live-streamed on 23 September at 17:00 CEST! Sign up for free here: neuralnetwork.aiforgood.itu.int/event/ai-for...
The talk will be live-streamed on 23 September at 17:00 CEST! Sign up for free here: neuralnetwork.aiforgood.itu.int/event/ai-for...
AI for Good, All Year - Always Online
Our AI powered matchmaking community platform to connect AI innovators with problem owners.
neuralnetwork.aiforgood.itu.int
September 18, 2025 at 7:38 PM
Chris gave one of our opening talks a few years ago and I can't wait to hear about his vision for the future of the field.
The talk will be live-streamed on 23 September at 17:00 CEST! Sign up for free here: neuralnetwork.aiforgood.itu.int/event/ai-for...
The talk will be live-streamed on 23 September at 17:00 CEST! Sign up for free here: neuralnetwork.aiforgood.itu.int/event/ai-for...