Research modeling the climate and its extremes. Covers climate extremes, ocean-dipole types, weather forecasting, and AI ecosystem monitoring.
Researchers found that Pleistocene hunter-gatherers settled in Cyprus around 14,257 to 13,182 years ago, suggesting the island was attractive for early human habitation. The rapid expansion of the population coincided with increased temperature, precipitation, and environmental productivity.
New research predicts that seven of eight modeled species will move further north in the Arctic Ocean due to climate change. This shift could have cascading effects on Arctic Ocean fish populations and overall ecosystem dynamics.
A new study suggests that some dinosaurs, such as theropods and ornithischians, may have developed endothermy around 180 million years ago. This adaptation allowed them to be highly active and sustain activity over longer periods, leading to faster growth and increased offspring production.
Research detects declines in bees and butterflies in western and southern North America due to environmental change and habitat loss. The study identifies regions of concern and highlights the need for conservation efforts and improved monitoring methods.
Shifting excess nitrogen from rich countries to poor ones could increase crop production by 12%, with moderate/food insecure regions seeing significant gains in both fertilizer use and food output. Current levels of production could be maintained with only 53-68% of current nitrogen used through redistribution.
Researchers developed an impact-based forecasting system that combines various models to predict flood impacts with high resolution. The system enables early warnings for evacuation, reducing population and property damage.
A new study by the University of Plymouth found that saturated soils in upland regions could negatively impact the survival rates of young oak saplings and acorns. The research highlights the importance of considering soil conditions when creating temperate rainforests to combat climate change.
A new study predicts climate change will lead to an overall decrease in areas suitable for malaria transmission from 2025 onwards. The research used several climatic and hydrological models to create a more in-depth picture of malaria-friendly conditions on the African continent.
Researchers found that weaker ocean currents during the Younger Dryas period led to a decline in nutrient availability, resulting in decreased biological productivity in the North Atlantic. This study supports predictions about the impact of climate change on ocean circulation and life.
A study found that heavy snowfall and rain contribute to earthquake swarms in northern Japan by altering underground pressure. Climate conditions are linked to seismic activity, with the timing of intense precipitation events correlating with the start of quakes.
New research shows climate change will cause more severe combined wind-rain extremes in the UK and Ireland, leading to increased flooding and damage. The study found that stronger winds and heavier rainfall are likely to occur together, posing challenges for coastal areas and emergency response resources.
A new modeling study from CIRES researchers finds that precipitation will likely dictate the flow of the Colorado River for the next 25 years, offering hope for a more favorable future. However, there is still a risk of historically low flows, with a 4% chance of a decline in Lee Ferry flows over the next quarter century.
A new computer algorithm developed by University of Oxford scientist Samar Khatiwala can drastically reduce the spin-up time of Earth System Models, enabling researchers to investigate subtle changes in model parameters and define uncertainty more accurately. This breakthrough could lead to better predictions of future climate change a...
A new study led by Harvard researchers found that the EPA underestimates methane emissions from landfills and urban areas, with emissions being on median 77% higher than estimated. The team's high-resolution map of methane emissions highlights the importance of pinpointing sources of these emissions.
A recent analysis of cloud measurements and satellite data suggests that even tiny aerosol particles may play a significant role in cloud formation. This finding challenges current models and could have significant implications for predicting future climate change.
Researchers found that chatbots like ChatGPT can provide accurate information on climate change-related topics, but not all responses are reliable. The study compared the chatbots' answers to hazard risk indices generated by the Intergovernmental Panel on Climate Change and found more accuracy with tropical storms than droughts.
Researchers used big data to calculate per-country greenhouse gas emissions from aviation for 197 countries, revealing gaps in reporting requirements under the UNFCCC treaty. Countries like China and the US were found to emit the most aviation-related emissions.
Researchers created new maps that accurately describe phosphorus levels in Amazonian soil using artificial intelligence, revealing the region's low concentration of the mineral. This information is crucial for understanding how tropical forests will react to climate change.
The study enhances understanding of radiative transfer processes in vegetation canopies, improving ecological modeling and climate predictions. The clumping index varies significantly with zenith angle and vegetation type, changing with seasonal cycles.
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.
A large multi-model study found global biodiversity declined between 2% and 11% due to land-use change alone. Climate change could overtake land-use change as primary driver of biodiversity loss by mid-century.
A large multi-model study published in Science found global biodiversity declined 2-11% due to land-use change. Climate change could become main driver of biodiversity loss by mid-century, with combined effects leading to decline in all world regions.
Researchers created a simulation model to analyze the impact of coastal management activities on barrier islands' vulnerability to sea-level rise. The model shows that natural processes can create and maintain barriers, but human efforts to protect communities can disrupt these processes.
A study modeling Siberian wildfires' effects found significant impacts on air quality, climate, health, and economies in East Asia. The research suggests a cooling effect globally and worsened air quality in downwind regions.
Researchers advocate for a collaborative approach between AI and physics in climate modeling to impose physical constraints and achieve global optimality. By integrating AI's spatial prowess with physics' foundational principles, they aim to create a truly learnable climate model.
A new paper argues that Venus, with its surface temperatures hot enough to melt lead and a toxic atmosphere, can provide valuable lessons about the potential for life on other planets. The study highlights the importance of understanding the conditions that make Earth habitable, as well as the risks of runaway greenhouse effects.
Researchers found that modern weather models can accurately predict satellite movements affected by weather events like tropical cyclones with tall clouds. This understanding enhances satellite tracking and control, improving efficiency and reliability of satellite operations.
New satellite data shows that 45% of urban areas in China are sinking, with 16% experiencing rapid subsidence. The affected cities could experience catastrophic flooding if left unchecked, with Shanghai's urban area potentially tripling in size by 2120.
An interdisciplinary team led by Kaiyu Guan is using a combination of satellite remote sensing, in-situ measurements, and biochemical modeling to quantify nitrogen emissions from agriculture. The goal is to provide improved guidance for farmers on reducing nitrogen fertilizer use and alleviating air pollution.
A study published in Nature found that warming tundras release more carbon due to increased ecosystem respiration. The experiment revealed a 30% boost in respiration during the growing season, leading to significant changes in soil moisture and temperature.
A new study reveals that climate change could lead to a significant global GDP loss of up to 10% if the planet warms by +3ºC, highlighting the substantial costs of inaction.
Researchers analyzed the last ice age to better understand the relationship between CO2 and global temperature. The study finds that the absolute worst-case scenario is unlikely, reducing the estimated warming from doubling CO2 by a full degree.
A team of over 100 scientists from Brazil and the US ran high-resolution simulations of South America's past and future climate using a weather research and forecasting model. The goal is to better understand hydroclimatic processes and inform adaptation measures for millions affected by climate change.
According to GIST researchers, extreme cold events (WACC) have intensified until the 2020s but are expected to decline post-2030s. This drastic shift in WACC trajectory has significant implications for global climate systems and weather patterns.
A recent study by the University of California - Riverside found that carbon dioxide is driving an increase in the severity and frequency of wildfires by fueling the growth of plants that become kindling. This process occurs because plants use the extra CO2 to make carbohydrates, leading to an increase in biomass that burns.
A new scientific review published in Sustainable Production and Consumption explores how to accurately assess the carbon footprint of coffee farming. The study provides guidance on measuring green coffee's environmental impact, including identifying representative measurements and applying land use change modeling.
Fruit eating birds play a vital role in forest ecosystems by consuming, excreting, and spreading seeds to allow trees to grow and function. The study found that highly fragmented landscapes restrict bird movement, reducing carbon recovery potential by up to 38 percent.
A recent machine learning study has discovered a surprising link between wildfires in the western United States and hailstorms in the central US. The research, led by Jiwen Fan, used ML algorithms to analyze vast datasets spanning two decades, predicting hail storms with remarkable accuracy.
A new study reveals that meandering ocean currents and the ocean floor induce upwelling velocity, transporting warm water to shallower depths, contributing to rapid melting of Antarctic ice shelves. This process poses a significant threat to coastal communities worldwide due to rising global sea levels.
Researchers at the University of Birmingham found that marine cloud brightening can account for 60-90% of the cooling effect, increasing cloud cover by up to 50%. The study suggests MCB could be a more effective 'painkiller' than previously thought.
Researchers found that salt marsh restoration can reduce flood risk, preserve habitats, and provide recreational opportunities. The study also emphasizes the importance of integrating nature-based solutions into comprehensive climate resilience strategies to mitigate future climate change impacts.
A study found that concurrent heatwaves and extreme short-term sea level rises at coastal locations significantly increased between 1998 and 2017. Global coastal areas may experience 38 days of CHWESL conditions each year by 2049, posing a significant threat to coastal communities.
Researchers analyze degrowth scenarios to reduce emissions, highlighting the need for lower energy demand and technological advancements. The study suggests that fast emissions reductions are possible even with reduced or zero economic growth, but also raises concerns about sociocultural feasibility.
Scientists have developed a new method to estimate soil organic carbon in the US, providing a more accurate benchmark for policymakers. The study reveals how environmental variables affect soil organic carbon and offers insights into mitigating climate change through sustainable land management practices.
Researchers developed a model predicting how changes in anvil cloud area affect global warming, confirming its effectiveness and reducing uncertainty. However, the brightness of clouds remains understudied and is a key obstacle to predicting future global warming.
A recent study suggests that Canada lynx had a broader past range in the US, potentially including parts of Utah, central Idaho, and Yellowstone National Park. The researchers used a validated model to estimate the species' historic distribution, taking into account factors such as climate change and land use.
Researchers from Kyushu University found that ocean-atmosphere coupling enhances teleconnection patterns, leading to more meandering jet streams and extreme weather events. The study highlights the significance of extratropical ocean-atmosphere interactions in climate variability.
A new MIT-derived algorithm corrects coarse climate model predictions by 'nudging' them toward more realistic patterns, leading to more accurate forecasts of extreme weather events. The approach uses machine learning and dynamical systems theory to improve the resolution of large-scale climate models.
Researchers developed a new type of ocean model that can simulate the transport, storage, and turnover of carbon in the global coastal ocean. The model shows that intense plankton growth is key to enhanced CO2 uptake in coastal oceans, which could strengthen with ongoing CO2 emissions.
Research suggests that warmer fall seasons may lead to colony collapse in honey bees due to increased flying time. However, cold storage for colonies could help reduce the risk of colony collapse by allowing bees to cluster earlier and save workers.
New mathematical modelling reveals that the Atlantic meridional overturning circulation has a high degree of complexity, with switches between states potentially leading to major climate changes. The study warns against relying on early warning indicators, as minor transitions might escalate into more significant tipping points.
A new study finds that extreme tropical cyclone rainfall is increasing across the continental US, while climate warming restricts 'outdoor days' for people living in developing countries. Additionally, air pollution increases mortality risks from heat, especially when combined with other factors like wildfires and reduced aerosols.
A new measure called “outdoor days” describes the number of days per year that outdoor temperatures are neither too hot nor too cold for people to go about normal outdoor activities. This measure reveals significant global disparities, with the North gaining more outdoor days and the South losing them due to rising temperatures.
Researchers at Lehigh University found that low- to mid-level flooding events are the most vulnerable to cyber attacks, which can overwhelm the system and cause a flood downstream. The study developed a mathematical framework to identify vulnerabilities in stormwater systems, allowing municipalities to assess their risks.
Scientists have developed a new model to accurately understand methane emissions in the region, finding that wetlands are producing more methane over time. This is due to the warming of these biomes, causing the stored carbon to be released into the atmosphere as methane, contributing to global warming.
Tufts scientists highlight the overlooked feedback loop between drought, soil desiccation cracking, and carbon dioxide emissions, which could accelerate climate change. The study suggests that soil's 80% carbon storage capacity is releasing increasing amounts of greenhouse gases as droughts trigger cracks in soils.
Scientists find that increased Asian aerosol emissions slow the AMOC's movements, reducing solar heating and cooling the Earth's climate. Reducing these emissions can help stabilize the AMOC, according to a study published in Nature Communications.
Researchers found that land-atmosphere coupling has a significant impact on Asian monsoons, but its effect varies greatly from year to year. The study suggests that better modeling of land conditions may be crucial for improving seasonal forecasts in the region.
International research led by CSU suggests studying root function in tropical forests can improve climate change predictions. Tropical forests contain 30% of global soil carbon, with roots acting as 'carbon banks' that can help mitigate climate change.
Scientists develop a new method to calculate the total carbon emissions consistent with the Paris climate targets of 1.5°C and 2°C of global warming. The study estimates emissions budgets that are at least 10% larger than previous models, indicating a need for urgent action to reduce emissions.