Depth‐Aware Global Calibration of SM2RAIN‐NWF Using Growing Neural Gas‐Derived Hydroclimatic Clusters Across Heterogeneous Soils
Abstract Accurate rainfall information underpins land‐surface water budgets, extreme‐weather analyses, and climate‐model evaluation. Yet in many regions, rain gauge networks are sparse, making conventional calibration of bottom up rainfall products difficult. To address this, we propose a self calib...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2026-04-01
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| coleção: | Water Resources Research |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1029/2025WR041529 |
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