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Drought is a slow-onset natural disaster that has far-reaching effects on agriculture, water security, and socio-economic systems, especially in climate-vulnerable countries such as Malaysia. It is imperative to predict ...

ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device fai...

Abstract Roadside areas are major sources of traffic-related air pollutant emissions. This study identified the spatial distribution of roadside pollutants using Unmanned Aerial Vehicle (UAV) measurements and predicted t...

Climate change and variability have significantly impacted smallholder and subsistence farmers in Ethiopia. The effectiveness of adaptation measures largely depends on how farmers perceive climate change and variability....

Abstract Background Suicide is a serious and growing public health issue with a complex, multifactorial etiology involving psychological, social, and environmental determinants. Increasing evidence suggests that meteorol...

Land surface and crop models both simulate irrigation, but they differ in their approaches, primarily because they were originally developed for distinct purposes and scales. Through an example case study in a highly irr...

In 2023, Canada experienced its most severe wildfire season on record, burning over 7.8 million hectares and releasing unprecedented carbon emissions surpassing the country’s previous record by several fold. These fire...

Precipitation generators are statistical models used to produce synthetic sequences of (multisite) precipitation for hydrological applications such as flood risk assessment and water resource management. Among these, app...

The Beijing–Tianjin–Hebei region of China features a unique topographic structure. Influenced by synoptic-scale systems, the region’s atmospheric strata over the plains are distinct. This study utilizes ground aero...