Improving time upscaling of instantaneous evapotranspiration based on machine learning models

Evapotranspiration (ET) plays a crucial role in the global water and energy cycle. Upscaling instantaneous ET ([Formula: see text]) to daily ET ([Formula: see text]) is vital for thermal-based ET estimation. Conventional methods – such as the constant evaporative fraction method (ConEF), radiation-b...

Descripció completa

Dades bibliogràfiques

Autors principals:	Danni Yang, Shanshan Yang, Jiaojiao Huang, Shuyu Zhang, Sha Zhang, Jiahua Zhang, Yun Bai
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-01-01
Col·lecció:	Big Earth Data
Matèries:	Constant evaporative fraction method (ConEF) evapotranspiration (ET) machine learning (ML) time upscaling
Accés en línia:	https://www.tandfonline.com/doi/10.1080/20964471.2024.2423431
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!