Cargando…
High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies — a case study from South Korea
Forecasting wind speed near the surface with high-spatial resolution is beneficial in agricultural management. There is a discrepancy between the wind speed information required for agricultural management and that produced by weather agencies. To improve crop yield and increase farmers’ incomes, wi...
Autores principales: | Shin, Ju-Young, Min, Byunghoon, Kim, Kyu Rang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151559/ https://www.ncbi.nlm.nih.gov/pubmed/35449427 http://dx.doi.org/10.1007/s00484-022-02287-1 |
Ejemplares similares
-
An assessment of high-resolution wind speeds downscaled with the Weather Research and Forecasting Model for coastal areas in Ghana
por: Dzebre, Denis E.K., et al.
Publicado: (2021) -
Ensemble downscaling in coupled solar wind-magnetosphere modeling for space weather forecasting
por: Owens, M J, et al.
Publicado: (2014) -
Weather forecasting for agriculture and industry : a symposium
Publicado: (1972) -
Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic
por: Chen, Hao, et al.
Publicado: (2021) -
Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting
por: Chantry, Matthew, et al.
Publicado: (2021)