Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution

Vandeskog, Silius M.; Thorarinsdottir, Thordis L.; Steinsland, Ingelin; Lindgren, Finn

doi:10.48550/arxiv.2109.11180

Cited by 2 publications

(1 citation statement)

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“…The project explored methods for handling the non-Gaussian behaviour of daily maximum and minimum temperatures, via the same approximation techniques for non-Gaussian observations as in the R-INLA software. In order to keep the implementation and computational time manageable, the final implemented method did not include this, but aspects of that work can be found in Vandeskog et al (2021b). Instead, a fully Gaussian method was implemented, and an iterative linear solver used to compute the conditional distributions for all the latent variables, reduced to ∼ 1.5 • 10 10 by only estimating the daily mean temperatures, and reducing the spatial resolution to 0.5 degrees.…”

Section: The Eustace Projectmentioning

confidence: 99%

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

Lindgren¹,

Bolin²,

Rue³

2021

Preprint

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Gaussian processes and random fields have a long history, covering multiple approaches to representing spatial and spatio-temporal dependence structures, such as covariance functions, spectral representations, reproducing kernel Hilbert spaces, and graph based models. This article describes how the stochastic partial differential equation approach to generalising Matérn covariance models via Hilbert space projections connects with several of these approaches, with each connection being useful in different situations. In addition to an overview of the main ideas, some important extensions, theory, applications, and other recent developments are discussed. The methods include both Markovian and non-Markovian models, non-Gaussian random fields, non-stationary fields and space-time fields on arbitrary manifolds, and practical computational considerations.

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Section: The Eustace Projectmentioning

confidence: 99%

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

Lindgren¹,

Bolin²,

Rue³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

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The spatiotemporal trend of extreme temperature-humidity variables and assessing the climatic comfort changes in northern Iran

Solaimani

Ahmadi

Shokrian

2023

Preprint

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The Earth's climate system is significantly affected by global warming. This study examined the spatiotemporal variations in average and extreme values of relative humidity, temperature, and temperature-humidity index in the northern areas of Iran from 1986 to 2016. The temperature-humidity index was generated for each of the 30 meteorological stations based on relative humidity and temperature data. Previously, trend analysis was calculated in different seasons using ordinary linear and quantile regression methods. For the most part, the results indicate a declining trend in relative humidity and a rising trend in temperature. The highest percentage of decreasing trend slopes for maximum relative humidity (≤-50%) in all seasons, but for maximum temperature, the highest percentage of increasing trend slopes in summer and winter (≥ 30%) identified on the southern coast of the Caspian Sea. However, a decreasing trend (%≤-15) was detected for the maximum temperature in autumn at the northern regions. Average and high values of THI in the summer season (≥ 75) have increased in the western and northern parts with high intensity (≥ 40%). The low values of THI in winter (≤ 30) have increased with a slight slope (20%), which indicates a decline in some of days with cold stress in winter for most regions. The findings of this study are generally useful for identifying changes in weather extremes and their effects on human health.

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Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution

Cited by 2 publications

References 48 publications

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

The spatiotemporal trend of extreme temperature-humidity variables and assessing the climatic comfort changes in northern Iran

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