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High PM2.5 levels in Delhi-NCR largely independent of Punjab-Haryana crop fires

The study used a network of 30 sites to analyze air pollution in Delhi-NCR and found that crop residue burning in Punjab and Haryana has a lower contribution to PM2.5 levels than previously thought. The research suggests that the buildup of PM2.5 in Delhi-NCR is primarily of local origin.

SourceResearch Institute for Humanity and Nature·Journalnpj Climate and Atmospheric Science·TypeObservational study·DateFeb 4, 2025

Empowering numerical weather predictions with drones as meteorological tools

Researchers evaluate drones' potential for long-term daily collection of meteorological data, showing promising results and cost-effectiveness. The study demonstrates that drones can provide accurate measurements comparable to traditional methods, improving the accuracy of numerical weather predictions and disaster prevention.

SourceResearch Organization of Information and Systems·JournalJournal of Geophysical Research Atmospheres·TypeExperimental study·DateJan 23, 2025

Predicting the weather: New meteorology estimation method aids building efficiency

A new meteorology estimation method developed at Osaka Metropolitan University improves the accuracy of building energy simulations by considering interdependent factors such as temperature, solar radiation, and humidity. The generated data was found to be almost identical to the original dataset, proving its accuracy.

SourceOsaka Metropolitan University·JournalScientific Reports·TypeData/statistical analysis·DateNov 26, 2024

AMS Science Preview: Hawaiian climates; chronic pain; lightning-caused wildfires

A new study establishes official climate divisions in Hawaii, improving climate research and forecasting. Chronic pain sufferers who spend time outdoors experience stronger weather-based effects, while lightning-initiated wildfires are responsible for more than half the acres burned in the contiguous United States.

SourceAmerican Meteorological Society·JournalBulletin of the American Meteorological Society·DateApr 26, 2024

Unraveling the mysteries of fog in complex terrain

A study led by University of Utah researchers has shed new light on how fog forms in mountainous areas, providing insights for improving forecasts. The team used high-resolution data and modeling to better understand the complex physical processes involved in fog formation.

SourceUniversity of Utah·JournalBulletin of the American Meteorological Society·TypeObservational study·DateDec 27, 2023

Insights on the formation of polar ice clouds

Marine bacteria and atmospheric rivers play a crucial role in forming ice clouds at higher-than-expected temperatures over the Southern Ocean. The findings from this study provide key information for improving numerical models of ice cloud formation, which can help better predict climate conditions in vulnerable polar regions.

SourceResearch Organization of Information and Systems·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateDec 5, 2023

Riding the whims of the wind

Researchers develop a mathematical model that analyzes the future survival of plants in a changing climate by studying how far wind can carry seeds. The model provides fast and reliable predictions of seed movement, considering factors like seed type, plant height, and wind speed.

SourceUniversity of Missouri-Columbia·JournalEcological Modelling·DateNov 30, 2023

Dense measurement network revealed high level of PM2.5 in Punjab due to crop residue burning and its transport to Haryana and Delhi NCR

A recent study used a dense measurement network to track the transport of crop residue burning pollutants from Punjab to Delhi NCR, revealing high levels of PM2.5. The measurements showed that the Indian national air quality standard for PM2.5 were frequently exceeded in the region.

SourceResearch Institute for Humanity and Nature·JournalScientific Reports·TypeObservational study·DateOct 2, 2023

Stevens researchers take aim at weather forecasters’ biggest blindspot

Researchers at Stevens Institute of Technology have developed more accurate nowcasting algorithms to predict short-term weather forecasts. The study found that probabilistic models are highly accurate in predicting both long- and short-term rainfall events, while deterministic models are better suited for extremely short-term projections.

SourceStevens Institute of Technology·JournalEnvironmental Modelling & Software·TypeExperimental study·DateAug 28, 2023

Researchers propose a more effective method to predict floods

A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...

SourceXi'an Jiaotong-Liverpool University·JournalJournal of Hydrology·TypeComputational simulation/modeling·DateJan 9, 2023

Clouds less climate-sensitive than assumed

Researchers analyzed observational data from a major field campaign in 2020 and found that trade-wind clouds' contribution to climate warming has been overestimated. The study shows that the clouds are more resilient to global warming than previously thought, which can improve the accuracy of future climate projections.

SourceUniversity of Hamburg·JournalNature·TypeObservational study·DateNov 30, 2022

Climate change to produce more rainbows

A new study predicts that climate change will increase rainbow viewing opportunities in northern latitudes and high elevations, while decreasing them in tropical regions. The research used photographs from Flickr to map rainbow occurrences under current and future climates.

SourceUniversity of Hawaii at Manoa·JournalGlobal Environmental Change·TypeImaging analysis·DateOct 28, 2022

Scientists reveal the different effects on storm tracks between the upper- and lower-level eddy growth over the North Pacific

Researchers find that midwinter suppression in the North Pacific is driven by differences in upper- and lower-level eddy growth properties. The study reveals that upper-level eddies are more complex, with growth suppressed during cold season, but near-jet exit can grow normally.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateSep 23, 2022

Scientists find complex terrain aggravates haze formation and its meteorological feedback

Scientists have found that complex terrain enhances secondary haze formation by blocking pollutants and accelerating chemical transformation. This leads to a positive feedback loop where thick haze aloft intensifies interactions between aerosols and the planetary boundary layer, exacerbating pollution in mountainous areas.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateSep 6, 2022

Turning over a new leaf: Local mountain climate is affected by leaf area ratio

A Japanese research group discovered that the leaf area index of mixed-forests influences seasonal changes in the formation of a nocturnal cold-air pool at a small mountain basin. The study found that weakening of the nighttime temperature inversion occurred during leaf expansion, while strengthening occurred after leaf fall.

SourceUniversity of Tsukuba·JournalJournal of the Meteorological Society of Japan Ser II·DateSep 5, 2022