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Research Article | Evaluation of ten satellite-based and reanalysis precipitation datasets on a daily basis for Czechia (2001–2021)

A new study evaluates the accuracy of ten satellite-based and reanalysis precipitation datasets using in-situ rain gauge measurements across Czechia from 2001 to 2021. The GSMaP dataset showed superior performance for rainy days, while ERA5-Land overestimated annual precipitation by 15–35%.

SourceBig Earth Data·JournalBig Earth Data·TypeData/statistical analysis·DateJan 23, 2026

Cleaner ship fuel is reducing lightning in key shipping lanes, research finds

Research from the University of Kansas finds that cuts in sulfur emissions from oceangoing vessels have led to a reduction in lightning stroke density along heavily trafficked shipping routes in the Bay of Bengal and South China Sea. The drop in sulfates from ships can cause fewer cloud condensation nuclei, resulting in weaker convecti...

SourceUniversity of Kansas·Journalnpj Climate and Atmospheric Science·DateJan 20, 2026

Rapid changes in meteorological conditions govern how plants influence climate and air quality

A new study reveals that plant gas emissions are triggered by rapid changes in weather, not just dry conditions. The research shows that vegetation responds immediately to shifts in humidity and temperature, changing the rate of emissions of biogenic volatile organic compounds (BVOCs) into the air.

SourceThe Hebrew University of Jerusalem·JournalScience of The Total Environment·TypeExperimental study·DateNov 30, 2025

Atlantic multidecadal oscillation identified as key driver of compound hot drought events over Northern East Asia

Researchers identified AMO as key driver of compound hot drought events in Northern East Asia, with periods of weakening and strengthening linked to changes in climate. The study provides a new physical perspective for understanding variability in the region's hot droughts and offers insights for improving decadal climate prediction.

SourceScience China Press·JournalScience China Earth Sciences·DateOct 29, 2025

In the face of extreme weather events’ devastating effects on power grids, study identifies vulnerabilities that drive prolonged outages, suggests ways to reduce disruptions

Researchers analyzed power outage data and weather records to identify planning vulnerabilities and criticality as drivers of prolonged local outages. Targeted interventions, such as isolating critical nodes and improving operational flexibility, can reduce customer outages by up to 49.5%.

SourceCarnegie Mellon University·JournalINFORMS Journal on Data Science·DateOct 15, 2025

AMS science preview: global heat record false? Rainier storms

Recent research from the American Meteorological Society reveals a false global heat record, suggests that severe weather events are increasing in frequency, and predicts an expansion of fire-prone areas. The study also examines the impact of cold wakes on tropical cyclone rainfall and finds that they intensify with global warming.

SourceAmerican Meteorological Society·JournalBulletin of the American Meteorological Society·DateOct 9, 2025

Purdue study uncovers why some hurricanes balloon in size and what that means for forecasting future storms

A new study by Purdue University researchers reveals that hurricanes grow in size faster when traveling over locally warm waters, which can help improve daily forecasting of hurricane size and impacts. This discovery has the potential to better model hurricane size in long-term risk models used by industry.

SourcePurdue University·JournalProceedings of the National Academy of Sciences·DateSep 18, 2025

How pre- and post-monsoon information can shape cyclone preparedness in the Bay of Bengal

Researchers found significant differences in oceanic conditions between pre- and post-monsoon tropical cyclones in the Bay of Bengal. The study highlights the importance of seasonality in cyclone intensity and the ocean's response, with potential applications for predicting cyclone impacts and developing early warning tools.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateSep 16, 2025

High Mountain Asia’s shrinking glaciers linked to monsoon changes

Research from the University of Utah and Virginia Tech reveals that seasonal shifts in rainfall and snowfall patterns are exacerbating glacier melting across the region. Glaciers in Central Himalaya, Western Himalaya, and Eastern Himalaya are especially vulnerable to accelerated ice loss and water availability threats.

SourceUniversity of Utah·JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·TypeObservational study·DateAug 29, 2025

Asia steps into the global carbon cycle conversation

A new large-scale open dataset of Asia's terrestrial ecosystems is now available, providing a long-awaited foundation for understanding the region's role in the global carbon cycle. The JapanFlux2024 dataset combines 683 site-years of eddy covariance data from 83 locations across Japan and neighboring regions.

SourceOsaka Metropolitan University·JournalEarth System Science Data·TypeObservational study·DateAug 21, 2025

International “State of the Climate” report confirms record-high greenhouse gases, global temperatures, global sea level, and ocean heat in 2024

The State of the Climate report reveals record-high greenhouse gas concentrations, with CO2 levels reaching 422.8 parts per million, a 52% increase from pre-industrial levels. Global temperatures also reached a new high, with annual growth increasing to 2.4 ppm yr−1.

SourceAmerican Meteorological Society·JournalBulletin of the American Meteorological Society·DateAug 14, 2025

Identifying landslide threats using hydrological predictors

A new framework developed by Northwestern University and UCLA scientists integrates various water-related processes with a machine-learning model to predict landslide threats. The framework identifies three main pathways leading to landslides: intense rainfall, rain on already saturated soils, and melting snow or ice.

SourceNorthwestern University·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateJul 25, 2025

Earth's future climate at 9 km worldwide resolution

A team of scientists has developed a high-resolution climate model that simulates global climate change at 9 km atmospheric and 4-25 km oceanic scales. The model demonstrates superior performance compared to lower-resolution models, providing detailed regional insights into future climate conditions.

SourceInstitute for Basic Science·JournalEarth System Dynamics·TypeComputational simulation/modeling·DateJul 18, 2025

Barcelona could suffer heat waves up to 6ºC more intense by the end of the century

A study predicts that Barcelona will experience extreme and dry heat periods with temperature increases of up to 4ºC and a general reduction in relative humidity. The research forecasts an increase in average maximum temperatures of 4ºC and average minimum temperatures of 3.5ºC if greenhouse gas emissions are not drastically reduced.

SourceUniversitat Autonoma de Barcelona·JournalJournal of Geophysical Research Atmospheres·TypeData/statistical analysis·DateJul 17, 2025

Sweet discovery: sugars from the salty ocean are responsible for a large part of the ice nuclei in clouds over the remote oceans of the southern hemisphere

Marine microorganisms produce sugar compounds that enter the atmosphere through sea spray, contributing to cloud and precipitation formation. These polysaccharides are found to be the most important ice nuclei in clean air over the oceans around Antarctica.

New insights into the jet stream make better climate predictions possible

Researchers have made significant breakthroughs in understanding the complex interactions between climate drivers and the Southern Hemisphere's Eddy-Driven Jet. By analyzing historical data and applying innovative statistical methods, they found that 50% of the observed shift in the jet stream is directly attributable to global warming.

SourceUniversität Leipzig·JournalProceedings of the National Academy of Sciences·TypeData/statistical analysis·DateJul 15, 2025

Blurring the line between rain and snow: the limits of meteorological classification

Researchers evaluate traditional precipitation phase partitioning methods and machine learning models, revealing near-freezing temperatures create inherent limitations in distinguishing between rain and snow. Accurate identification is critical for weather forecasting, hydrologic modeling, and climate research.

SourceUniversity of Vermont·JournalNature Communications·TypeComputational simulation/modeling·DateMar 26, 2025