Characteristics of intrinsic non-stationarity and its effect on eddy-covariance measurements of CO2 fluxes [PDF]
Nonlinear Processes in Geophysics, 2022 Stationarity is a critical assumption in the eddy-covariance method that is widely used to calculate turbulent fluxes. Many methods have been proposed to diagnose non-stationarity attributed to external non-turbulent flows.
L. Liu, Y. Shi, F. Hu, F. Hu
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Climate change allowances, non‐stationarity and flood frequency analyses
Journal of Flood Risk Management, 2022 When considering future adaptation to climate change in UK fluvial flood alleviation schemes, the current recommendation by the Environment Agency (England) is to increase peak design flood flows by a preselected percentage.
Adam Griffin +3 more
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Studying the Stability of one of Non-Linear Autoregressive Models with Application [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2011 In This paper we suggest one of the models for non-linear Autoregressive by using local linear approximation method, then we studied the conditions of stationarity of the model specifically the conditions of stationarity the non-zero singular point of ...
Abdulghafoor Salim, Raadi Alhamdan
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Spatio-temporal change in rainfall over five different climatic regions of India
Journal of Water and Climate Change, 2021 The present study deals with the estimation of dependences, spatio-temporal trends, change points, and stationarity in rainfall and rainy day series (1901–2013) for five (out of six) different climatic regions of India.
Litan Kumar Ray, Narendra Kumar Goel
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Effect of climate change and variability on extreme rainfall intensity–frequency–duration relationships: a case study of Melbourne [PDF]
Hydrology and Earth System Sciences, 2014 The increased frequency and magnitude of extreme rainfall events due to anthropogenic climate change, and decadal and multi-decadal climate variability question the stationary climate assumption.
A. G. Yilmaz +2 more
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Absolute finite differences based variable forgetting factor RLS algorithm
IET Signal Processing, 2022 Adaptive signal processing requires an efficient non‐stationarity detector. Most of the known non‐stationarity detection algorithms are based on residual statistics.
Slobodan Drašković +2 more
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The consideration of processes non-stationarity in gas tract of the internal combustion engine
Известия высших учебных заведений: Проблемы энергетики, 2017 The results of an experimental study of the effect of the gas-dynamic non-stationarity on gas dynamics and the local heat in the exhaust pipe of a piston engine are presented in the article.
L. V. Plotnikov +2 more
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An Overview of Kriging and Cokriging Predictors for Functional Random Fields
Mathematics, 2023 This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo +2 more
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Neural network model for forecasting the development of road transport enterprises in a non-stationarity economy [PDF]
E3S Web of Conferences, 2021 The paper presents the results of the study of the influence of factors on the development indicators of road transport enterprises, describes the development indicators and their dynamics. On the basis of the theoretical foundations of non-stationarity,
Borodulina Svetlana
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Dealing with non-stationarity in sub-daily stochastic rainfall models [PDF]
Hydrology and Earth System Sciences, 2018 Understanding the stationarity properties of rainfall is critical when using stochastic weather generators. Rainfall stationarity means that the statistics being accounted for remain constant over a given period, which is required for both inferring ...
L. Benoit, M. Vrac, G. Mariethoz
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