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The soil is now being asked to read its own wetness

Yethikrishna ROriginal on Threads

the soil is now being asked to read its own wetness: an ensemble downscales smap from 9 kilometers to 30 meters across california’s central valley, a physics guided network cuts global soil moisture error to 0.081 root mean square, and a hybrid fuses parflow clm with xgboost for a one kilometer product over the whole united states.

the ground now files its own moisture map.

Sources

  1. Ensemble deep learning towards high-resolution soil-moisture mapping in California's Central Valley (SSRN)papers.ssrn.com
  2. A hybrid physics and machine learning approach to soil moisture downscaling (EGUsphere preprint)egusphere.copernicus.org

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The note above is reproduced unedited from the original post, first published on Threads on 4 October 2026 at 00:01 IST. Sources are the papers and datasets the note draws on.

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