Combined Global Surface Summary of Day and European Climate Assessment and Dataset
daily meteorological data sets (around 9000 stations) were used to build spatio‐temporal …

A better understanding of spatiotemporal distribution of PM 2.5 (particulate matter with
diameter less than 2.5 micrometer) concentrations in a continuous space-time domain is …

Particulate matter (PM) is a class of malicious environmental pollutants known to be
detrimental to human health. Regulatory efforts aimed at curbing PM levels in different …

This study offers a detailed analysis of the fine particulate matter (PM2. 5) series in the
Arabian Gulf zone, employing three interpolation models, Inverse Distance Weighting (IDW) …

This study evaluates alternative spatio-temporal approaches for quantitative estimation of
daily mean Particulate Matter (PM) concentrations. Both fine (PM2. 5) and coarse (PM 10) …

Efficient and responsible management of water resources relies on accurate streamflow
records. However, many watersheds are ungaged, limiting the ability to assess and …

River water-level time series at fixed geographical locations, so-called virtual stations, have
been computed from single altimeter crossings for many years. Their temporal resolution is …

This paper analyses the spatiotemporal variability of air pollutants in Egypt using monthly
averages from the air quality monitoring network from 2011 to 2015. Particulate Matters (PM …

Knowing the dynamics of spatial–temporal precipitation distribution is of vital significance for
the management of water resources, in highlight, in the northeast region of Brazil (NEB) …

In statistical space-time modeling, the use of non-separable covariance functions is often
more realistic than separable models. In the literature, various tests for separability may …