Machine and deep learning-based forecast of Tehran’s accelerating nighttime surface heat island crisis
Abstract The nighttime Surface Urban Heat Island (SUHI) phenomenon in the metropolis of Tehran poses severe risks to urban climate and sustainability, representing a potential crisis for the entire Middle East and North Africa (MENA) region. A critical research gap persists in long-term predictive m...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2026-03-01
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| Saila: | Scientific Reports |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41598-026-42066-1 |
| Etiketak: |
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