paper
2025
Hybrid physics-ML & parameterization
Climate emulation New model or method
Physics-informed / physics-constrainedMax Planck Institute for BiogeochemistryMax Planck Institute for Meteorology Preprint
2025-12-03
026
Dec 2025
Reda ElGhawi, Christian Reimers, R. Schnur et al.
MPG.PuRe (Max Planck Society)
Max Planck Institute for Biogeochemistry, Max Planck Institute for Meteorology
Neural-network replacements of JSBACH4 stomatal conductance and photosynthesis parameterizations, trained on FLUXNET, reduce transpiration and GPP residuals in ICON-ESM land.
Hybrid physics-ML & parameterization
Journal of Advances in Modeling Earth Systems
In one sentence. Neural-network replacements of JSBACH4 stomatal conductance and photosynthesis parameterizations, trained on FLUXNET, reduce transpiration and GPP residuals in ICON-ESM land.
Labels
- Topic
- Hybrid physics-ML & parameterization, Climate emulation
- Type
- New model or method
- Method
- Physics-informed / physics-constrained
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- OpenAlex:W7162901652
- Added
- 2026-10-22
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