Results 51 to 60 of about 3,168 (213)

Changes in Global Marine Heatwaves in a Non‐stationary Climate

Geophysical Research Letters
Understanding the changes in marine heatwaves (MHWs) is vital for safeguarding marine ecosystems and effective risk management. However, previous studies have assumed stationary changes, leaving the dynamics of MHW properties within a non‐stationary ...
Wanling Xu, Zhongfang Liu, Lu Gao, Xiangyong Lei, Yinchi Zhang   +4 more
doaj   +1 more source

Nonstationarity in Intermittent Rainfall: The “Dry Drift” [PDF]

Journal of Hydrometeorology, 2014
Abstract A particular aspect of the nonstationary nature of intermittent rainfall is investigated. It manifests itself in the fact that the average rain rate varies with the distance to the surrounding dry areas. The authors call this fundamental link between the rainfall intensity and the rainfall occurrence process the “dry drift ...
Schleiss, Marc, Chamoun, Sabine, Berne, Alexis   +2 more
openaire   +3 more sources

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Coping with Nonstationarity in Categorical Time Series [PDF]

Journal of Probability and Statistics, 2012
Categorical time series are time-sequenced data in which the values at each time point are categories rather than measurements. A categorical time series is considered stationary if the marginal distribution of the data is constant over the time period for which it was gathered and the correlation between successive values is a function only of their ...
Monnie McGee, Ian Harris
openaire   +2 more sources

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Toward Climate‐Robust Rainfall Runoff Models: Development and Evaluation of Parameter Libraries That Produce Dependable Predictions Across Diverse Conditions

Water Resources Research
Determining rainfall runoff responses of catchments to unprecedented climate conditions is an issue which has largely eluded the hydrologic community for many years. Conceptual rainfall runoff models are used globally to predict runoff for regional water
J. D. Hughes, S. S. H. Kim
doaj   +1 more source

Up-to-date probabilistic temperature climatologies

Environmental Research Letters, 2015
With ongoing global warming, climatologies based on average past temperatures are increasingly recognized as imperfect guides for current conditions, yet there is no consensus on alternatives.
Nir Y Krakauer, Naresh Devineni
doaj   +1 more source

Carbon, Nitrogen, and Corresponding Stable Isotope Signatures Reveal Channel Banks as Major Sediment Sources in a Tropical Agricultural Watershed

Land Degradation &Development, EarlyView.
ABSTRACT Uncertainties about the applicability of δ13C and δ15N as tracers of sediment sources in tropical river basins highlight the need for more in‐depth investigations of these isotopes. This study therefore assessed the effectiveness of δ13C and δ15N signatures in discriminating sediment sources in an agricultural catchment in Northeast Brazil ...
Fábio Farias Amorim, Yuri Jacques Agra Bezerra da Silva, Rennan Cabral Nascimento, Ygor Jacques Agra Bezerra da Silva, Angelo Jamil Maia, Tales Tiecher, Jean Paolo Gomes Minella, Yusheng Zhang, Hari Ram Upadhayay, Simon Pulley, Adrian L. Collins   +10 more
wiley   +1 more source

Persistence in carbon footprint emissions: an overview of 92 countries

Carbon Management, 2019
The existing studies on persistence of ecological footprint have largely concentrated on the aggregate ecological footprint without adequately considering its components.
Sakiru Adebola Solarin, Luis A. Gil-Alana, Carmen Lafuente   +2 more
doaj   +1 more source