Global change biologySoilTemperatureMachine Learning
When Statistical Learning Violates Physics: An Extensive Mismatch in Soil Temperature-Depth Relationships in Global Maps of Soil Temperature.
Tomáš Uxa
Published: 202510.1111/gcb.70574
Abstract
Global gridded soil temperature datasets are important to understand and explain spatial patterns and processes in many life and environmental sciences, but products based on in situ measurements are still available to a very limited extent. Global m…
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