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Non-stationary Boundary Layers
The literature includes a wide variety of definitions or perceptions of non-stationarity. Non-stationarity can be expressed in terms of turbulence...
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Comparison of extreme value theory approaches in temperature frequency analysis (case study: Arak plain in Iran)
Worldwide research on climate change reveals that a slight temperature change can trigger extreme phenomena such as drought, heavy rain, and storm....
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Analyzing surface air temperature and rainfall in univariate framework, quantifying uncertainty through Shannon entropy and prediction through artificial neural network
The current research reports a univariate analysis of 2 important climatological parameters surface air temperature and rainfall over North East...
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On Detecting Changes in Earthquake Occurrence Rates Through Trend Reversal
Earthquakes, like several other rare events, strike at random times and predicting the next one remains daunting despite today’s scientific advances....
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Analysis of flux footprints in fragmented, heterogeneous croplands
An accurate quantification of fluxes from heterogeneous sites and further bifurcation into contributing homogeneous fluxes is an active field of...
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Stationarity of aftershock activities of the 2016 Central Tottori Prefecture earthquake revealed by dense seismic observation
To clarify the relationship between earthquake occurrence and fluid, we analyzed data from a dense aftershock-observation network with 69 high-gain...
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Spatiotemporal analysis of temperature data trends in Peninsular Malaysia
Trend analysis is a most common approach in the hydrological analysis to analyse the characteristics of hydrological data which includes rainfall...
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Hurst scaling with crossover of a drought indicator: a case study in Belem and Manaus, Brazil
Some Amazonia regions are vulnerable to natural disasters. Hurst analysis of hydrological events can provide more information than classical...
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Applying Clustering Techniques and Geostatistics to the Definition of Domains for Modelling
Machine learning is a broad field of study that can be applied in many areas of science. In mining, it has already been used in many cases, for...
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Multivariable Time Series Forecasting for Urban Water Demand Based on Temporal Convolutional Network Combining Random Forest Feature Selection and Discrete Wavelet Transform
Urban water demand forecasting is crucial to reduce the waste of water resources and environmental protection. However, the non-stationarity and...
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Past, Present and Future Perspectives of Seasonal Prediction of Indian Summer Monsoon Rainfall: A Review
This paper presents a detailed review and discussion on the long-range forecast (LRF) of Indian summer monsoon rainfall (ISMR), its present status,...
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Statistical downscaling of GCMs wind speed data for trend analysis of future scenarios: a case study in the Lombardy region
Near-surface wind speed is a key climatic variable, affecting many sectors, such as energy production, air pollution, and natural hazard. Lombardy...
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Practical Analysis of Time Series
After a preliminary processing, the time series should be tested for stationarity. The test may fail if the time series contains a trend or if its...
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Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh
We examined the net-ecosystem-exchange (NEE)-based annual carbon-balance estimates obtained from eddy-covariance (EC) measurements at an unmanaged...
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Sea-Surface Stress Driven by Small-Scale Non-stationary Winds
A number of studies have indicated that non-stationarity of the wind field over the sea significantly disrupts the equilibrium between the wind,...
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The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates
Under current global change, the driving force of evolution of drought has gradually transitioned from a single natural factor to a combination of...
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A unified statistical framework for detecting trends in multi-timescale precipitation extremes: application to non-stationary intensity-duration-frequency curves
There is a large agreement that global warming induces changes of precipitation regimes of different nature and amplitude depending on the timescale...
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Analysis of the Hydrological Behavior of Watersheds in the Context of Climate Change (Northwestern Algeria)
The aim of this work is to study the temporal evolution of the rainfall-runoff relations of four basins in northwestern Algeria: the Tafna Maritime,...
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A New Non-stationary High-order Spatial Sequential Simulation Method
A new non-stationary, high-order sequential simulation method is presented herein, aiming to accommodate complex curvilinear patterns when modelling...
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Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database
Tree-rings are one of the most commonly used proxies for reconstructing past climates at annual resolution. The climate information is generally...
