Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

A Non-Gaussian Spatio-Temporal Model for Daily Wind Speeds Based on a Multivariate Skew-t Distribution

Domain:

environment and energyclimate
Creator:
TagCasCriGen
Publisher:
arXiv
Host:avatar
Facing increasing domestic energy consumption from population growth and industrialization, Saudi Arabia is aiming to reduce its reliance on fossil fuels and to broaden its energy mix by expanding investment in renewable energy sources, including wind energy. A preliminary task in the development of wind energy infrastructure is the assessment of wind energy potential, a key aspect of which is the characterization of its spatio-temporal behavior. In this study we examine the impact of internal climate variability on seasonal wind power density fluctuations over Saudi Arabia using 30 simulations from the Large Ensemble Project (LENS) developed at the National Center for Atmospheric Research. Furthermore, a spatio-temporal model for daily wind speed is proposed with neighbor-based cross-temporal dependence, and a multivariate skew-t distribution to capture the spatial patterns of higher order moments. The model can be used to generate synthetic time series over the entire spatial domain that adequately reproduce the internal variability of the LENS dataset. 20 pages, 7 figures

Visit

doi.orgarxiv.org

Tags

Applications (stat.AP)FOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

Similar

SPATIO-TEMPORAL DISTRIBUTION OF WIND SPEED AND DAILY MAXIMUM WIND SPEED IN MOROCCO FOR THE PERIOD 2020-2050A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic dataPredicting Trade Mispricing: A Gaussian Multivariate Anomaly Detection ModelA new hybrid form of the skew-t distribution: estimation methods comparison via Monte Carlo simulation and GARCH model applicationModelling spatio-temporal heterogeneities in groundwater quality in Ghana: a multivariate chemometric approachColor image quality assessment measure using multivariate generalized Gaussian distribution

SPATIO-TEMPORAL DISTRIBUTION OF WIND SPEED AND DAILY MAXIMUM WIND SPEED IN MOROCCO FOR THE PERIOD 2020-2050

The Moroccan energy system is highly dependent on external energy markets. Therefore, the current re

A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data

Large scale genetic datasets often aggregate the total allele counts of distinct genetic markers. In

Predicting Trade Mispricing: A Gaussian Multivariate Anomaly Detection Model

Objective - This paper predicts a measurement indicator for the trade mispricing channel and its eff

A new hybrid form of the skew-t distribution: estimation methods comparison via Monte Carlo simulation and GARCH model application

In this work, estimating the exponentiated half logistic skew-t model p

Modelling spatio-temporal heterogeneities in groundwater quality in Ghana: a multivariate chemometric approach

Chemometric techniques were applied to evaluate the spatial and temporal heterogeneities in groundwa

Color image quality assessment measure using multivariate generalized Gaussian distribution

This paper deals with color image quality assessment in the reduced-reference framework based on nat