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ISSN: 3051-2530

Explainable AI uncovers key landslide drivers in northeastern Bangladesh

Landslides constitute a persistent geohazard in the hilly landscapes of northeastern Bangladesh, driven by intense monsoonal precipitation and escalating anthropogenic disturbances. Despite growing...

AI-enhanced subseasonal forecasting of extreme temperature risks

Sub-seasonal weather prediction remains a significant scientific challenge due to the chaotic nature of the atmosphere, with current numerical and AI-driven models exhibiting limited skill, particularly...

Machine-learning-assisted evaluation of heatwave impacts on surface ozone in China

Extreme heatwaves increasingly amplify tropospheric ozone (O3) pollution, yet their quantitative contributions across China's megacity clusters remain poorly constrained. Here, we employed a machine...

Inaugural editorial: Bridging AI and planetary sustainability — A new era for climate and eco-environmental research

Exposure disparities in global daily PM1 pollution

Exposure to airborne particulate matter (PM) pollution is a leading risk factor for human health. PM1 (PM with aerodynamic diameter of < 1 μm) is small enough to penetrate lung tissue into the bloodstream,...

Long-term particulate matter exposure and incident cardiovascular disease: The modifying effects of cardiovascular-kidney-metabolic syndrome

Few studies have examined the effect-modifying role of cardiovascular-kidney-metabolic (CKM) syndrome in the association between particulate matter (PM) exposure and cardiovascular disease (CVD)....

Refined agricultural emissions reveal previously underestimated mortality and temperature impacts in India

Agriculture is a dominant yet underrepresented source of particulate matter (PM) and ammonia (NH3), with global emission inventories (EIs) often failing to capture India’s region-specific practices...

Disparities in climatic parameters between weather station and building microenvironment: Important or not?

Meteorological conditions within the microenvironments surrounding buildings can deviate significantly from data recorded at local weather stations. This study investigated the impact of the built environment...

MMWSTM-ADRAN+: Site-specific one-day-ahead maximum temperature forecasting in baghdad with classical, neural, and extreme-tail benchmarks

Accurate one-day-ahead prediction of daily maximum temperature is important for local heat-risk management, energy planning, and public-health preparedness. This revised manuscript explicitly frames...

Hybrid spatiotemporal graph attention network for multi-day AQI forecasting in Delhi

Forecasting the Air Quality Index (AQI) accurately over multiple future days comes under some of the hardest practical problems in urban environmental management. Cities like Delhi, where pollution...

Groundwater potential zonation using geographic information system and analytical hierarchy process in a semi-arid hard rock terrain: A case study of Mettur Taluk, Tamil Nadu, India

Water is necessary for domestic, agricultural, and industrial uses, but overexploitation and climate change are putting more strain on the world's groundwater supplies, which highlights the necessity...

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