Wantong Li

[David Montero Loaiza @dmlmont]

🚀 Excited to share our latest paper, "Earth System Data Cubes: Avenues for Advancing Earth System Research", just published in @EnvDataScience! 🌍📊

📜 https://t.co/t4D9IffkTK

[Trevor Keenan @trevorkeenan]

We have an open postdoc position in the Quantitative Ecosystem Dynamics lab at UC Berkeley:
https://t.co/xFe5SPMle8

in the areas of ecohydrology, land-atmosphere interactions, and global change ecology.

https://t.co/0kRt41XUA4

Please spread the word!

[Terrestrial Ecosystems Journal Club @Eco_JournalClub]

Hi everyone, let's join us at 3 pm PST on Oct 8th (next Tuesday) to discuss the exciting Nature Climate Change paper below:
Shuocun Chen, a graduate student from Renmin University of China, will lead the discussion.
The Zoom ID is: 91882865597

[Shijie Jiang @Shijie_Jiang_]

🚀Just published our new paper in @EarthsFutureEiC! 🌍 We propose how #InterpretableML can be more broadly and effectively integrated into geoscientific research, highlighting key do's and don'ts when using IML for process understanding. Check it out: https://t.co/y7H7LWrGsS

[Wantong Li @WantongLi2]

🌍Observation-based studies are underrepresented compared to model-based studies, highlighting the need for better utilisation of remote sensing and in-situ data to understand vegetation dynamics comprehensively.

[Wantong Li @WantongLi2]

See our new publication that provides a systemic review about "Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics" in https://t.co/3xzrkOnKma

[Wantong Li @WantongLi2]

⚖️Disentangling vegetation physiology from structure is complex but necessary for reconstructing or predicting functional dynamics. Multiple vegetation dimensions is essential to understand ecosystem health and stability in the face of increasing climate extremes.

[Wantong Li @WantongLi2]

#EGU24 Heading to Vienna soon. I'll be talking about a recent work on data-driven syndrome framework in Session NH9.2 on Wednesday and co-convening Session ITS4.10/NH13.1 (https://t.co/zxDNcLgzha) on Thursday. Come and talk to me.

[Wantong Li @WantongLi2]

Final time for your EGU submission! Just got an invited talk confirmed by Juan (https://t.co/gY7QPigU61) who will bring us some wonderful insights in socio-ecological interactions from data-driven and system dynamic perspectives.

[Wantong Li @WantongLi2]

Join our session "Deciphering socio-ecosystem interactions and transitions with diverse Earth Observations" at #EGU24! Submit your abstract at https://t.co/3i54DfTIeR… by 1pm CET / 12pm UTC / 7am EST / 4am PST on 10 Jan 2024!

[Shijie Jiang @Shijie_Jiang_]

⏰Only TWO days left to submit your abstract for #EGU24! Consider submitting your work to our session HS3.5 on #XAI and hybrid (physics-ML) modeling in hydrology, with @ChaopengShen as our invited speaker. Can't wait to see your abstracts! 🌊💡⬇️

[Wantong Li @WantongLi2]

#AGU23 Come to my posters and have a chat!
Poster 1: Monitoring biosphere-atmosphere-socioeconomic interactions (Mon, Board 0983)
Poster 2: Vegetation physiological and structural controls on land-atmosphere coupling (Thu, Board 2605)
Both at 14:10-18:30, Poster Hall A-C-South

[Shijie Jiang @Shijie_Jiang_]

We are looking for a PhD candidate🎓 on "Machine Learning for Improved Representation and Understanding of Irrigation in Earth System Models"🌾💧🌍 in our IMPRS program https://t.co/8dEUOqLZuj

Associated with @Ellis_Unit_Jena. Contact me if interested in #AI #MachineLearning 😉

[Jake Nelson @Jacobnelson18]

If you know someone thinking about doing a PhD, check out all these great projects you can apply to. Tons of great scientists to work with.

[Wantong Li @WantongLi2]

Join our session "Deciphering socio-ecosystem interactions and transitions with diverse Earth Observations" at #EGU24! Submit your abstract at https://t.co/3i54DfTIeR… by 1pm CET / 12pm UTC / 7am EST / 4am PST on 10 Jan 2024!

[Wantong Li @WantongLi2]

Happy to see that my first PhD work in @MPI_BGC @hydrOrth_lab, is among most downloaded papers in GRL #TopDownloadedArticle!
Remote-sensing-based evidence shows vertically resolved soil moisture feeding a better understanding of vegetation productivity. https://t.co/f26rgpKnSV