Cargando…
Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment
Many regions around the globe are subjected to precipitation-data scarcity that often hinders the capacity of hydrological modeling. The entropy theory and the principle of maximum entropy can help hydrologists to extract useful information from the scarce data available. In this work, we propose a...
Autores principales: | Alencar, Pedro Henrique Lima, Paton, Eva Nora, de Araújo, José Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700339/ https://www.ncbi.nlm.nih.gov/pubmed/34945921 http://dx.doi.org/10.3390/e23121615 |
Ejemplares similares
-
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
por: Harris, Lucy, et al.
Publicado: (2022) -
Global daily 1 km land surface precipitation based on cloud cover-informed downscaling
por: Karger, Dirk Nikolaus, et al.
Publicado: (2021) -
Statistical Downscaling of General Circulation Model Outputs to Precipitation Accounting for Non-Stationarities in Predictor-Predictand Relationships
por: Sachindra, D. A., et al.
Publicado: (2016) -
A 10-km CMIP6 downscaled dataset of temperature and precipitation for historical and future Vietnam climate
por: Tran-Anh, Quan, et al.
Publicado: (2023) -
A downscaling and bias correction method for climate model ensemble simulations of local-scale hourly precipitation
por: Yoshikane, Takao, et al.
Publicado: (2023)