相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Issues in generating stochastic observables for hydrological models
Keith Beven
HYDROLOGICAL PROCESSES (2021)
CHDS: conflict handling in direct sampling for stochastic simulation of spatial variables
Hesam Soltan Mohammadi et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Turbulent wind field representation and conditional mean-field simulation
Steen Krenk et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2019)
Advances in Gaussian random field generation: a review
Yang Liu et al.
COMPUTATIONAL GEOSCIENCES (2019)
IMAGE: a multivariate multi-site stochastic weather generator for European weather and climate
Nathan J. Sparks et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
Random partitioning and adaptive filters for multiple-point stochastic simulation
Mansoureh Sharifzadehlari et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
The Hurst Phenomenon in Error Estimates Related to Atmospheric Turbulence
Nelson Luis Dias et al.
BOUNDARY-LAYER METEOROLOGY (2018)
Stochastic synthesis approximating any process dependence and distribution
Panayiotis Dimitriadis et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
Stochastic similarities between the microscale of turbulence and hydro-meteorological processes
Panayiotis Dimitriadis et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2016)
Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst-Kolmogorov processes
Panayiotis Dimitriadis et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2015)
Stochastic differential calculus for wind-exposed structures with autoregressive continuous (ARC) filters
M. Di Paola et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2008)
Numerical simulation of wind effects: A probabilistic perspective
Ahsan Kareem
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2008)
Digital generation of multivariate wind field processes
M Di Paola et al.
PROBABILISTIC ENGINEERING MECHANICS (2001)