NASA and IBM Research released the first open-source geospatial artificial intelligence (AI) foundation model for Earth observation data. Read more about this milestone accomplishment in the application of #AI for Earth science: go.nasa.gov/3q8sUnR #MachineLearning

#AI4Water Update Happy to share that Prof. Chaopeng Shen, Penn State Civil and Environmental Engineering will give an online talk on Machine Learning and Differential Modeling for Global Hydrology during #AI4Water workshop. Interested? Please register forms.gle/QjV1McGmz47zPs… IIT Roorkee Dr. Ankit Agarwal

NatureClimate widespread oxygen loss in warming rivers in US + Central Europe, at rates higher than oceans but lower than coastal & lakes. Urban rivers warm up fastest; agricultural rivers lose oxygen fastest nature.com/articles/s4155… Li Li 李黎 Jiangtao Liu BOKU HyWa

I'm very happy to conduct research in the MHPI group, and I have learned so much. Dr.Shen is very friendly and brimming with imagination and creativity.

Are you interested in 1) the future of water quantity + quality under climate change + extremes; 2) reactive transport models + machine / deep learning tools? Come join our diverse group of learners. "Somewhere, something incredible is waiting to be known." - Carl Sagan

Here are the talks of my research group and collaborators at the AGU. My talks are on Tuesday. Also a poster session when we can talk. Hope to see you there! agu.confex.com/agu/fm23/meeti… Or a better-formatted version: docs.google.com/document/d/1gR…

Our paper is one of the most downloaded articles in GRL 2022-2023. Thank you very much for your interest in our research. Chaopeng Shen Farshid Rahmani Kathryn Lawson

It's great that our paper on differentiable hydrologic modeling to unify ML and physical model is among #TopDownloadedArticle in WRR! Our code release also has more than 1.3K downloads! Thanks for your interest in our work! Chaopeng Shen Kathryn Lawson Jiangtao Liu

Our new AI Working Group is hosting a webinar on Friday June 14 from 12-1:30 pm ET. Register here: cornell.zoom.us/meeting/regist…

I'm excited to start the new semester under your guidance! I'm looking forward to continuing to learn and grow on this journey. Thank you for your ongoing support and inspiration!

Excellent work!

Amazing work on the new paper! Deep learning reveals phosphorus patterns in US rivers ! 👍👍👍

Have been posting minimum here... This is our group's AGU presentations. Hope to see you. I've a talk on Monday and one on Friday. Also a poster on Monday. docs.google.com/document/d/1wX… Also, we are gearing up some a major code release this week. Drumming......

We are release the Differentiable Modeling - Generic (δMG) framework, a domain-agnostic, PyTorch-based framework for developing models that can train neural networks with process-based equations together on big data. It unifies many DM research activities mhpi.github.io/codes/framewor…

Drop by my session and see what cool stuff our group is working on! 😊

Please come and evaluate our continental-scale seamless streamflow simulation (1990-1999 more is being uploaded) using hybrid physics-informed ML ("differentiable") hydrologic model. Could be a blast! zenodo.org/records/142920… This comes with our preprint doi.org/10.22541/essoa…

A massive paper and a generational leap in national-scale high-resolution seamless hydrologic simulation. We published the continental-scale simulation dataset. If you have interests, please inquire! doi.org/10.1029/2024WR… /run