Cargando…
Higher-order statistics based multifractal predictability measures for anisotropic turbulence and the theoretical limits of aviation weather forecasting
Theoretical predictability measures of turbulent atmospheric flows are essential in estimating how realistic the current storm-scale strategic forecast skill expectations are. Atmospheric predictability studies in the past have usually neglected intermittency and anisotropy, which are typical featur...
Autores principales: | Ramanathan, Arun, Satyanarayana, A. N. V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934490/ https://www.ncbi.nlm.nih.gov/pubmed/31882685 http://dx.doi.org/10.1038/s41598-019-56304-2 |
Ejemplares similares
-
Aviation turbulence: processes, detection, prediction
por: Sharman, Robert, et al.
Publicado: (2016) -
Using random forests to diagnose aviation turbulence
por: Williams, John K.
Publicado: (2013) -
Multifractal volatility: theory, forecasting, and pricing
por: Calvet, Laurent E, et al.
Publicado: (2008) -
A new hypothesis on the anisotropic reynolds stress tensor for turbulent flows: volume I theoretical background and development of an anisotropic hybrid k-omega shear-stress transportstochastic turbulence model
por: Könözsy, László
Publicado: (2019) -
Brace for turbulence: EU Member States’ climate strategies in the aviation sector
por: Schmidt, Nicole M., et al.
Publicado: (2022)