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Heatwaves are becoming more frequent and more deadly

Research reveals that heatwaves like the 2003 European heatwave could become the new norm, with increased mortality risks, especially for the elderly and poor. Ideal temperature ranges vary by location, and climate models predict a significant increase in heat-related deaths in coming years.

SourceETH Zurich·JournalNature Communications·TypeData/statistical analysis·DateAug 25, 2023

Fanning the flames

Researchers at Washington University in St. Louis discovered that wildfires emit dark brown carbon, a potent climate-warming particle that absorbs solar radiation. This finding has broad implications for climate models and highlights the need to revise existing approaches to account for the unexpected effects of brown carbon.

SourceWashington University in St. Louis·JournalNature Geoscience·TypeExperimental study·DateAug 7, 2023

Winter storms over Labrador Sea influence Gulf Stream system

A recent study by GEOMAR researchers found that fluctuations in the Labrador Sea can significantly influence the strength of sinking processes east of Greenland. This phenomenon affects the Atlantic Meridional Overturning Circulation (AMOC), a crucial climate system that brings warm water from the Gulf of Mexico to Europe.

SourceHelmholtz Centre for Ocean Research Kiel (GEOMAR)·JournalNature Communications·TypeComputational simulation/modeling·DateAug 3, 2023

New AI model outperforms traditional methods in predicting Central Pacific El Nino

Researchers developed an AI model powered by deep learning algorithms that outperforms traditional dynamic models in predicting central Pacific El Nino events. The study sheds light on the potential of AI to enhance seasonal forecasts, offering significant advancements in climate prediction.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateJul 24, 2023

Introducing the carbon neutrality capacity index: a revolutionary model for evaluating global carbon sink contributions

A new model, the Carbon Neutrality Capacity Index (CNCI), evaluates contributions from various carbon sinks, including rock weathering and vegetation. The study reveals that Guizhou has a significantly higher CNCI than China's average, with regions like Libo and Pingtang showing surpluses.

SourceChinese Society for Environmental Sciences·JournalEnvironmental Science and Ecotechnology·TypeExperimental study·DateJul 23, 2023

Climate science is catching up to climate change with predictions that could improve proactive response

Researchers at UC Santa Barbara's Climate Hazards Center have made significant advancements in predicting droughts and food shortages in the Eastern Horn of Africa, enabling agencies to take effective actions and provide humanitarian assistance. These early warnings have helped prevent devastating famines and saved millions of people f...

SourceUniversity of California - Santa Barbara·JournalEarth s Future·DateJul 20, 2023

Arctic dust found to be a major source of particles that form ice crystals in Arctic low-level clouds

Researchers at Nagoya University found that Arctic dust is a significant source of particles forming ice crystals in Arctic low-level clouds. The findings suggest that Arctic dust can act efficiently as an ice nucleating particle, increasing the number of ice nucleating particles by over 100 times.

SourceNagoya University·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateJul 7, 2023

Top corn producing state to see future drop in yield, cover crop efficiency

A new study suggests that while winter cover crops can reduce nitrogen pollution by up to 30%, their effectiveness will decrease under future climate scenarios. Illinois' corn yields are expected to suffer more than soybean yields, especially in southern regions, as warmer temperatures and changing rainfall patterns impact crop growth.

Why the day is 24 hours long: Astrophysicists reveal why Earth’s day was a constant 19.5 hours for over a billion years

For over a billion years, the sun's atmospheric tide countered the moon's gravitational pull, keeping Earth's rotational rate steady and day length at 19.5 hours. This balance was disrupted by climate change, resulting in our current 24-hour day stretching to over 60 hours if not for the pause.

SourceUniversity of Toronto·JournalScience Advances·TypeComputational simulation/modeling·DateJul 5, 2023

Study advances understanding of anthropogenic effects on climate change

A University of California, Riverside-led team found that anthropogenic aerosol-driven changes in ocean circulation and interbasin heat transport are more effective in altering oceanic heat distribution than those driven by globally increasing greenhouse gases. This advance in understanding will help develop climate mitigation strategies.

SourceUniversity of California - Riverside·JournalNature Geoscience·TypeComputational simulation/modeling·DateJun 30, 2023

State-of-the-art climate models provide new insights into the relationship between Asia–Pacific upper-tropospheric temperatures and precipitation

A study using state-of-the-art climate models found that two-thirds of the selected CMIP6 models showed positive correlations between Asian-Pacific Oscillation (APO) and Southeast China precipitation, consistent with observations. The best-performing model ensemble (BMME) simulated the APO-associated precipitation and atmospheric anoma...

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateJun 29, 2023

Study revealed rainforest releases oxidized organic molecules that form aerosol particles in tropical free troposphere

A study by the University of Helsinki found that oxidized organic molecules from Amazon rainforests contribute to the formation of aerosol particles in the tropical free troposphere. These molecules, primarily composed of isoprene, can nucleate or condense on nanoparticles, impacting cloud formation and global climate.

SourceUniversity of Helsinki·JournalNational Science Review·DateJun 28, 2023

UC Irvine scientists develop freely available risk model for hurricanes, tropical cyclones

A team of researchers at UC Irvine has developed a freely available computer model to estimate the economic costs of hurricanes and typhoons. The model combines data from climate change science and household vulnerability information, providing return periods of asset losses and helping countries better prepare for these disasters.

SourceUniversity of California - Irvine·JournalWeather Climate and Society·DateJun 27, 2023

Will engineered carbon removal solve the climate crisis?

A new IIASA-led study investigated the potential of engineered Carbon Dioxide Removal (CDR) technologies, such as Direct Air Capture of CO2 (DACCS), to help bridge the gap between current emissions reductions and ambitious climate goals. The study found that novel CDR can keep pre-Paris climate targets within reach when accounting for ...

SourceInternational Institute for Applied Systems Analysis·JournalEnvironmental Research Letters·DateJun 22, 2023

New study reveals irrigation’s mixed effects around the world

A recent study analyzed over 200 previous studies to assess the impact of irrigation on regional climates and environments. The researchers found that while irrigation supplies 40% of the world's food, it also has significant effects on regional climates and environments, with some areas being already unsustainable or verging on scarcity.

SourceNew York University·JournalNature Reviews Earth & Environment·DateJun 20, 2023

How prescribed burns could limit megafires in California, Oregon, and Washington

Researchers found that controlled burns in key areas of northern California, western Oregon, and eastern Washington could drastically reduce wildfire smoke exposure throughout the entire western U.S. This is due to prevailing winds carrying smoke across the continent and abundant dense vegetation fueling smokey fires.

A machine learning approach to freshwater analysis

A team of researchers from Syracuse University and Texas A&M University applied a machine learning model to explore the sources of salinization and alkalinization in U.S. watersheds. The study found that human activities, such as road salt application, were major contributors to salinity, while natural processes dominated alkalinity.

SourceSyracuse University·JournalScience of The Total Environment·DateJun 14, 2023

Brazilian algorithm aims to project future of Amazon Rainforest and predict changes in carbon capture

The CAETÊ algorithm projects the future of vegetation in the Amazon, presenting scenarios for transformation driven by climate change. It shows that a drier climate could increase biodiversity but lower carbon storage, with carbon absorption dropping between 57.48% and 57.75% compared to regular climate conditions.

Warming climate could turn ocean plankton microbes into carbon emitters

Researchers found that warming conditions can shift mixotrophic microbes from carbon sinks to carbon emitters, potentially accelerating warming and creating a positive feedback loop. These tiny microbes, abundant in freshwater and marine environments, could act as early warning signals for climate change tipping points.

SourceBritish Ecological Society·JournalFunctional Ecology·TypeComputational simulation/modeling·DateJun 1, 2023

Ground beneath Thwaites Glacier mapped for first time

Researchers have created a detailed map of the geology beneath Thwaites Glacier in West Antarctica, showing that only about a fifth of the ground is sedimentary rock. This finding could affect how the glacier behaves as it retreats due to climate change, with potential implications for ice flow and loss from other glaciers.

SourceBritish Antarctic Survey·JournalScience Advances·DateMay 31, 2023

New method predicts extreme events more accurately

Researchers create an AI-based approach to predict precipitation intensity and variability, addressing the missing piece of cloud organization in traditional climate models. The new algorithm improves precipitation predictions, including extreme events, and enables better projections of future changes in the water cycle.

SourceColumbia University School of Engineering and Applied Science·JournalProceedings of the National Academy of Sciences·DateMay 24, 2023

AI-enabled forecasting model predicts nearly two years of ENSO events

A new AI-enabled forecasting model can predict ENSO events for up to 22 months, overcoming the limitations of previous models. The Spatio-Temporal Information Extraction and Fusion (STIEF) model uses deep learning to extract space and time features and fuse them together, providing a more accurate prediction length.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateMay 21, 2023