ML_Hydroclimate
@mlhydroclimate.bsky.social
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Reposted by ML_Hydroclimate
agucatchhydro.bsky.social
🌎 Are you attending #AGU25?
Consider submitting your abstract to our session on Challenges and Solutions for Hydrologic Scaling Across Multiple Processes and Scales.
More information below!!!
ntoniomeiraneto.bsky.social
Inviting submissions to our session!
💧🌎
SESSION H048 - Challenges and Solutions for Hydrologic Scaling Across Multiple Processes and Scales

See the link below:
agu.confex.com/agu/agu25/pr...

Shout out to:
@agucatchhydro.bsky.social @agu-h3s.bsky.social @agu.org
Reposted by ML_Hydroclimate
abhilashsingh.bsky.social
First post !!!

Happy to share our new paper is out in Engineering Applications of AI!
"Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data
🔗 doi.org/10.1016/j.enga…
� abhilashsingh.net/codes.ht#RemoteSensinge#MLn#AIML #AI
Reposted by ML_Hydroclimate
fernandoperez.org
Open source, open science for earth, climate and geospatial science? Coming to #AGU25? Build tools in #Python @jupyter.org?

Submit an abstract for this session and come meet us and like minded scientists!
wilsonsauthoff.bsky.social
📣 Call for submissions: AGU25 IN029 "Open Source Geospatial Workflows in the Cloud" 🌍

Please submit your work using cutting-edge practices and tools that are shaping the future of geospatial science.

More info: events.geojupyter.org/conferences/...

#opensource #geospatial #jupyter #AGU25
AGU session advertisement with session title and invited speakers.
Reposted by ML_Hydroclimate
cznews.bsky.social
#CriticalZone at #AGU25
arnallouise.bsky.social
Excited to share our #AGU25 session: New Developments & Future Directions in Community Water Resources Modeling

Topics include: 💻Open software, cloud computing 🌐Process representation, uncertainty, model coupling 🧠ML 👥Social hydrology

🔗Submit an abstract by July 30: agu.confex.com/agu/agu25/pr...
mlhydroclimate.bsky.social
A new paper is out in Engineering Applications of AI!
"Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data
🔗 doi.org/10.1016/j.enga…
https://doi.org/10.1016/j.enga…