Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A hybrid framework for the spin-up and initialization of distributed coupled ecohydrological-biogeochemical models
Saved in:
| Published in: | Geoscientific Model Development |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: A hybrid framework for the spin-up and initialization of distributed coupled ecohydrological-biogeochemical models
- Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models
- A multi-chain surrogate-assisted hybrid optimization framework for joint identification of groundwater contaminant sources and hydrogeological parameters
- Exploring the influence of spatio-temporal scale differences in coupled data assimilation
- A hybrid Kolmogorov–Arnold Networks-based model with attention for predicting Arctic river streamflow
- Bottom–up approach for mitigating extreme events with limited intervention options: a case study with Lorenz 96 model
- Sandy beaches' chaos: shoreline-sandbar coupling inferred from observational time series