🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Excited to share our new global terrestrial carbon flux product based on metalearning led by Juan Nathaniel, a great student in our group: nature.com/articles/s4159…, called MetaFlux. This product has improved capacity in data poor regions such as the tropics and dry regions.

Excited to share our new work on applying meta-learning to upscale global carbon fluxes! rdcu.be/dgySH #carbon #metalearning #machinelearning Scientific Data

1/2 We hear a lot about "Earth twins" these days. There are still major challenges on the way before we can get to Earth's twins whether using high-resolution Earth system models or AI-based models but progress is happening fast, especially on the AI front. Some comparisons:

🏆🥇 Happy to share that our work on SLAMS won the Best Student Paper Award at EarthVision #CVPR2024. We will present it in ✈️Seattle next week. Also, happy to have ☕️chats with folks interested in #AI4Science broadly!

Glad to see our paper on using data-driven reduced order modeling to develop cloud microphysics schemes published in JAMES this week! agupubs.onlinelibrary.wiley.com/doi/full/10.10… LEAP-STC Columbia Engineering Columbia Climate School

Excited to share our new paper using transfer learning to better predict pCO2 in data sparse conditions (in the real world), by Shaun Kim, Juan Nathaniel, Zhewen Hou and 𝕋ia𝕟 ℤ𝕙e𝕟𝕘 nature.com/articles/s4159…