Process icon 1 Process icon 2 Process icon 3 Process icon 4 Process icon 5 Process icon 6 Process icon 7 Process icon 8 Process icon 1 Process icon 2 Process icon 3 Process icon 4 Process icon 5 Process icon 6 Process icon 7 Process icon 8
Observation icon 1 Observation icon 2 Observation icon 3 Observation icon 4 Observation icon 5 Observation icon 6 Observation icon 7 Observation icon 8 Observation icon 1 Observation icon 2 Observation icon 3 Observation icon 4 Observation icon 5 Observation icon 6 Observation icon 7 Observation icon 8 Observation icon 1 Observation icon 2 Observation icon 3 Observation icon 4 Observation icon 5 Observation icon 6 Observation icon 7 Observation icon 8

Adaptive Differentiable Ecohydrological Land Model

goal

Goal

Make land processes learnable from data and diagnosable across scales.

concept

Concept

Automatic differentiation connects observations with land models.

Neurals

code

Code

Source, modules, and API reference.

API Reference

ADELM is being prepared for release with a manuscript, for which a preprint is available at

Jiang, S., Blougouras, G., Wulan, T., Zeng, Y., and Zhou, J.: ADELM v1.0: a differentiable ecohydrological land model with learnable and diagnosable parameterization, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-3294, 2026.

โณ Active development โ€” ADELM is an ongoing scientific initiative with several research directions running in parallel. Does it align with your interests, or are you thinking about using it? Get in touch โ€” weโ€™d love to hear from you.