Tootfinder

Next week I will participate with the @… @… @… Horizon funded research projects in a policy briefing in Brussels, with MEP Group on Climate Change, Biodiversity & Sustainable Development @eupolarcluster.bsky.social
Remote participation possible if you're interested in what we have to say about Polar Science for Global Action and Strengthening Climate Preparedness through EU Leadership
https://polarres.eu/polarresevents/polar-science-for-global-action/

⚙️ Print mode runs by default for non-interactive execution, interactive mode enabled via .i. filename marker (task.i.claude .md), _interactive frontmatter key, or -_i CLI flag
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Have expertise with functional programming, interpreters, and Web technology? Like Rust, wasm, etc.? Looking for a job with a great team? Please see this job ad, and share with others you might know!
https://zoo.dev/jobs/4619187005?gh_src&gh_jid=4619187005

Zoo: Software Engineer, Language Development
A remote position now hiring at Zoo

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Leonard Hackel, Tom Burgert, Beg\"um Demir
https://arxiv.org/abs/2509.14104 https://…

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Self-supervised learning through masked autoencoders has attracted great attention for remote sensing (RS) foundation model (FM) development, enabling improved representation learning across diverse sensors and downstream tasks. However, existing RS FMs often either suffer from substantial computational complexity during both training and inference or exhibit limited representational capacity. These issues restrict their practical applicability in RS. To address this limitation, we propose an a…

Guyana brings solar power to Indigenous village, part of larger plan to prioritize Amerindian communities in national development. #climatechange #climatesolutions #climate

Guyana commissions solar grid for Indigenous village
A remote village in western Guyana is set to benefit from round the clock power following the commissioning of a solar grid with a combined capacity of 217.4 kW.

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Ajay Bankar, Praveenkumar Venkatesan, Rakesh V, Gaurav Chopra, R I Sujith
https://arxiv.org/abs/2509.20778

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Advancements in remote sensing have led to development of several satellite-derived precipitation products; however, their accuracy must be evaluated before use in scientific and operational studies. This study comprehensively assesses six widely used datasets PERSIANN CCS, CHIRPS, MSWEP, IMERG, AgERA5, and GSMaP ISRO against a dense rain gauge network across Karnataka, a southern Indian state characterized by diverse climatic conditions and complex topography. The analysis focuses on the India…