Research modeling the climate and its extremes. Covers climate extremes, ocean-dipole types, weather forecasting, and AI ecosystem monitoring.
New research published in Icarus suggests Mars had a cold and icy ancient climate, with evidence of volcanism interacting with ice sheets. The findings identify three distinct mineral combinations associated with glaciers, providing insight into the planet's past.
A new journal paper highlights the limitations of economic models in assessing climate change impacts, particularly at moderate to high levels of warming. The authors argue that current models inadequately account for tipping points and uncertainties, leading to large discrepancies between scientific and economic estimates.
Two UNIST faculty members, Professor Myong-In Lee and Professor Dong Hyun Cha, have received top government awards for their outstanding contributions to urban meteorology and climatology. They were recognized for their research on climate change, disaster risks, and regional climate modeling.
A new analysis projects a 4°C temperature increase by 2084, more severe than the 2°C threshold set by the Paris Agreement. This would lead to extreme weather events, ecosystem disruption, and societal threats.
A new study suggests that wind could be a more significant source of energy generation due to increased winds in the UK and northern Europe. The research predicts a 10% increase in onshore wind energy generation, enough to power an additional 700,000 homes per year.
A new method for projecting warming patterns supports substantial global warming but indicates significant variations in regions. Historically-driven climate approaches complement complex global models, providing more reliable regional climate projections.
Researchers found substantially higher uncertainty than assumed in current climate change studies, with a median per capita output growth rate of 2.03% per year. This new understanding of uncertainty will affect policy planning globally.
Scientists have quantified sea temperatures in ancient oceans using fossil data and climate models. The research reveals high-latitude seas were around 20-25°C, similar to recent greenhouse climates.
The Energy Exascale Earth System Model (E3SM) simulates the Earth's atmosphere, oceanic, land and ice components together. The new model can help researchers anticipate decadal-scale changes that could influence the U.S. energy sector.
New research suggests that poor countries will experience significant increases in temperature variability due to climate change. The study found that up to 15% more extreme temperature fluctuations are predicted for southern Africa and Amazonia, highlighting the unfair pattern of climate impacts on vulnerable populations.
A new study found that scientific models used to determine which species and habitats to protect lack critical information, leading to ineffective conservation efforts. The research highlights the need for more accurate species distribution models to target conservation efforts in areas with the most impact.
The Atlantic Meridional Overturning Circulation (AMOC) has slowed down by about 15 percent since the 1950s, with recent years showing a record low. This weakening is linked to rising carbon dioxide levels and impacts fish distributions, ocean temperatures, and fisheries in the Northeast U.S. Shelf.
Researchers at UChicago developed a new mathematical method to accurately predict the shape and melting effects of ponds on Arctic sea ice. This technique, known as the 'void' model, could help improve climate forecasts and understanding by addressing discrepancies in previous models.
Researchers estimate early Earth's climate as temperate, with temperatures ranging from 0-50 °C. Ocean pH increased steadily from acidic to mildly basic over the past 4 billion years.
A new climate model, POEM, has been developed by Russian and German scientists to accelerate research in climate science. The model addresses complex tasks such as ice age periodization and climate forecasting, providing a more efficient alternative to existing models.
Researchers have developed a high-resolution climate model that accurately simulates the interaction between aerosols and clouds. The model shows that increasing aerosol density can lead to a decrease in cloud cover in certain areas, contradicting previous assumptions.
Brown University researchers discovered that mesoscale eddies in the global ocean tend to merge into larger ones, unlike smaller eddies which break up into smaller scales. This finding could help develop coarser-grained ocean simulations that better capture ocean dynamics.
A Stanford University study found that even a 1-degree difference between the UN goal and country commitments may increase extreme weather likelihood. The researchers predict a fivefold increase in record-breaking warm nights over Europe and a threefold increase in record-breaking wet days over North America, Europe, and East Asia.
The G-Range model allows for single-process global simulations, providing insights into rangeland resilience to climate change. It supports policymakers in making informed decisions on rangeland management policies and practices.
A new climate study found that recent temperatures across North America and Europe are unusually high, exceeding past decade highs by 0.5 degrees Fahrenheit, and have few natural precedents over the last 11,000 years. The research suggests that human activity has significantly contributed to this warming trend.
A new study highlights the need for more detailed information about pollutant emissions to improve air quality models. Current data gaps lead to uncertainty in emission figures, affecting policymakers' decisions.
Researchers compared global water storage trends from 2002-2014 using GRACE satellite data and seven hydrology models. The study found that model projections of climate and human-induced changes are likely underestimates.
Researchers used global climate models to predict March US snowpack based on July 1 conditions, outperforming statistical predictions. This approach could improve water management and hazard preparedness.
A new analysis of marine fossils reveals that polar oceans warmed more than previously thought during the Eocene, a greenhouse period. The study's findings challenge modern climate models, which underestimated polar ocean warming by about 50 percent.
Researchers used a combination of conventional and remotely-sensed climate measurements to model the future distributions of bamboo species in southwestern China. This approach increased confidence in model results, providing valuable guidance for conservation planning and nuanced decision-making.
Researchers analyzed three weather systems to understand how aerosols influence cloud formation and development. The study highlights the complexity of aerosol-cloud-precipitation-radiation interactions, which vary on a case-by-case basis.
Princeton University researchers found that climate models overestimate the sun's daily heat, resulting in warmer and drier conditions. The study used satellite images to calculate diurnal cycles of clouds worldwide and compared them to nine climate models, revealing a significant error in timing.
A new special issue of Advances in Atmospheric Science explores the effects of aerosols on climate, with studies focusing on aerosol-cloud interactions, cloud-base height, and fine aerosol particles. The research aims to improve weather forecasting and climate models, shedding light on a crucial topic despite years of inquiry.
Researchers at University of Illinois create new maize growth model by integrating features from Community Land Model and Agricultural Production Systems sIMulator. The new model can simulate crop yields with improved accuracy and mechanism, correcting deficiencies in the original CLM model.
A new model investigates how human behavioral changes evolve in response to extreme climate events and affect global temperature change. Long-term, less easily reversed behavioral changes have the most significant impact in mitigating greenhouse gas emissions and reducing climate change.
Researchers propose new statistical methodology to understand climate system and attribute extreme climatic events. This approach views extreme events as a given and assesses the degree of changes in thermodynamic state variables influenced by climate change.
High-resolution climate simulations suggest that extreme thunderstorms will increase in frequency under a warmer climate scenario. This shift is caused by changes in thermodynamic conditions of the atmosphere.
High-resolution climate models project significant changes in US temperature patterns, including extreme heat events and altered growing seasons. The southeastern US will experience maximum summer temperatures every other day by late-century.
A UCLA-led team used extreme fieldwork and climate modeling to unravel a meltwater mystery on Greenland's ice sheet. They discovered that sunlight penetrating into the ice causes subsurface melting and storage of meltwater, leading to discrepancies between models' estimates and real-time data.
Researchers from Carnegie Institution for Science found that climate models projecting greater amounts of warming are more likely to align with current observations. The study suggests that models simulating reduced cloud cooling in the future tend to predict greater future warming.
Researchers Prof. Fei Zheng and Jin-Yi Yu found significant skill score differences between EP and CP El Niño events, with EP events better predicted at all lead times. This is attributed to systematic forecast biases and an overly warm eastern Pacific during the spring season for CP El Niño prediction.
A study by the University of Adelaide validated the latest climate change models forecasting bird impacts, showing they accurately predict range shifts over the past 40 years. The models now provide a more effective tool for targeting conservation management resources.
A new study projects that groundwater recharge will increase in the northern US and decrease in the south as climate change takes hold. The research used global climate models and found varying effects across different hydro-climatic regions, highlighting the need for better management and policy.
A study reveals multidecadal variations in the relationship between East Asian summer monsoon (EASM) and El Niño-Southern Oscillation (ENSO). The research used a coupled climate model to investigate the decadal changes, finding that ENSO-related circulation anomalies drive precipitation patterns over East Asia.
A new multivariable integrated evaluation (MVIE) method provides a comprehensive and quantitative evaluation of climate model performance. The method includes three levels of statistical metrics, offering an integrated evaluation of model performance in simulating multiple fields.
A study by OSU researchers used a coupled modeling approach to analyze the interactions between natural water supply and human demand, revealing key findings including the importance of economics in understanding water scarcity and counterintuitive effects of urban expansion and climate change.
A new Berkeley Lab study finds that cool roofs can save up to 9% of outdoor water consumption in California counties. Widespread adoption could result in 83 million gallons of water savings daily in Los Angeles County.
Researchers analyzed 50 years of rainfall data in a semi-arid drainage basin in Arizona, finding a decline in heavy rainfall events despite increased total rainfall. A new model simulates convective rainfall and shows less runoff from dryland basins under climate change.
The Weddell Sea has formed a large ice-free area, supporting the Kiel climate model. This natural phenomenon plays a crucial role in sea ice formation and deep water circulation. Scientists closely monitor its occurrence to improve climate models and differentiate between natural variability and human-induced changes.
Researchers found that warming climate conditions could lead to significant economic and healthcare costs due to increased occurrences of Vibrio bacteria in Chesapeake Bay. The study used a new downscaling framework to project future increases in Vibrio species, highlighting the need for models of climate impact on estuarine environments.
Researchers from the University of Oxford and international partners found that achieving the Paris Agreement's goal of 1.5°C global warming requires more ambitious emission cuts than initially estimated. The study suggests that limiting total CO2 emissions to below 240 billion tonnes could achieve this goal.
Researchers developed a flexible geostatistical model that captures both types of asymptotic dependence and accurately estimates extremal dependence type. The new model outperforms other typical models in terms of fit to the data and spatial prediction of extreme wind speeds.
Researchers analyze climate models to show that polynyas in the Southern Ocean can release heat into the atmosphere, warming temperatures and wind patterns globally. This process also affects tropical rainfall and water resources in regions like Indonesia and South America.
A new study estimates that climate change will cause 60,000 premature deaths globally by 2030 and 260,000 by 2100 due to increased air pollution. The research uses global climate models to predict changes in air quality and health outcomes.
A new study finds that climate change will lead to a significant increase in nitrogen runoff in the US, with projected increases of up to 19% by 2100. This excess nitrogen can cause algal blooms, harming human health, aquatic ecosystems, and the economy.
A new study reveals that the Atlantic and Pacific ocean temperatures play a significant role in droughts and wildfires in southwestern North America. The research shows that the large-scale difference between the two oceans enhances the risk for drought and wildfire in the region.
A new integrated Earth System Model (iESM) reduces uncertainties in future climate predictions by coupling physical, biological processes with human activities. The iESM is being used to explore interactions among the physical climate system, biological components of the Earth system, and human systems.
A new statistical model projects an increase in dust storms in the southern Great Plains from spring to fall in the late half of the 21st century due to reduced rainfall and increased land surface bareness. Climate change is also predicted to reduce dust activity in the northern Great Plains in spring during the same time period.
UC Riverside researchers predict California will see a 12% increase in precipitation by 2100, with northern and central regions experiencing the largest increases. The study attributes this change to a southeastward shift of the jet stream, encouraged by warming sea surface temperatures.
The lab's integrated computational model reduces uncertainty in climate predictions by coupling Earth systems with energy models. A secure platform developed for the Department of Veterans Affairs promises to improve health outcomes for millions of veterans.
A new study from University of Arizona scientists has analyzed Greenland's past temperatures to better understand the island's vast ice sheet melting. The research found that current temperatures are warmer than the 1930s, with a long-term trend for ever-higher surface temperatures.
Scientists developed a method to compare climate model sensitivities with historical data, showing good agreement. Accounting for slow mode feedback, the temperature range of climate sensitivity from historical data is consistent with climate models, implying a higher sensitivity to carbon dioxide emissions.
A new dataset provides improved representation of solar variability, enabling more accurate climate model simulations and distinguishing natural from anthropogenic processes. The dataset includes enhanced estimates of solar forcing and particle effects, which may counteract rising Earth temperatures.
A new study in Geophysical Research Letters finds that a series of unprecedented storms over the Southern Ocean likely caused the most dramatic decline in Antarctic sea ice seen to date. The extreme weather event led to significant losses of sea ice, with researchers suggesting that the storms' impact was exacerbated by climate change.
Effective SEL programs focus on improving emotional environments, values, and mindsets rather than just teaching skills, according to UT Austin psychology assistant professor David Yeager. These approaches help teens find purpose in learning and communities, leading to improved academic performance and social-emotional well-being.