Articles tagged with Climate Modeling
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers generated a dataset of water flow beneath the entire Antarctic Ice Sheet, improving projections of sea level rise. The model predicts higher degrees of glacier melt and mass loss by the end of the century.
A new study simulates a medium-sized asteroid collision with Earth, revealing dramatic disruptions in climate, atmospheric chemistry, and global photosynthesis. However, ocean plankton growth surprisingly recovers quickly and even increases after the impact, potentially alleviating emerging food insecurity.
A new study by Purdue University reveals that improved crop varieties led to global benefits for the environment and food system sustainability. The analysis found that reduced agricultural land use saved 1,043 animal and plant species, with most avoided losses located in biodiversity hot spots.
A new study by scientists at the University of Rochester suggests that atmospheric wind has a surprising impact on ocean eddies, which are circular currents of water about 100 kilometers wide. The research reveals that wind can both energize and dampen eddies, depending on their spin direction.
A new research group aims to enhance climate models by accounting for 3D cloud radiation transport, combining satellite data with high-resolution ground-based observations. The project involves a large field campaign in 2026 to record optical and microphysical cloud properties.
A study by University of Toronto researchers links polar bear population decline to extended energy deficits caused by a lack of food on dwindling sea ice. The model, tracking the bears' energy balance, shows reduced reproduction and cub survival rates due to shorter hunting seasons.
A recent study analyzed the devastating flood disaster in the Himalayas in October 2023, which destroyed large areas along and surrounding the Teesta River. The researchers reconstructed the exact time of its onset using high-resolution satellite images and digital elevation models.
Researchers found no increase in large iceberg sizes over the last half century, contradicting climate change expectations. Instead, frequent small calving events have dominated ice shelf loss, suggesting 'death by a thousand cuts',
A recent University of Washington study found that a slower increase in atmospheric carbon dioxide levels has less impact on the Atlantic Ocean's circulation. The research, published in PNAS, suggests that this slowdown allows the ocean system more time to adapt to rising CO2 levels and mitigates its effects.
Researchers at Harvard University used photochemical modeling to simulate how ancient Mars' climate was affected by atmospheric chemistry and crustal hydration. They found that episodic warm spells were driven by crustal hydration, leading to the buildup of hydrogen in the atmosphere.
A new study projects global sea-level rise between 0.5 and 1.9 meters by 2100 under a high-emissions scenario, with the very likely range being 90% probability for the event to occur. The fusion approach combines strengths of existing models with expert opinions, offering a clearer picture of future sea-level rise.
A new study challenges conventional models and reveals biochar's exceptional capacity for long-term carbon storage. Biochar is shown to be far more effective at long-term carbon storage than previously thought.
Scientists at the University of Lausanne used AI to simulate the last Alpine glaciation, finding ice covers 35-50% thinner than previous models. The new approach enables unprecedented accuracy and resolution, making it possible to describe complex topography numerically.
A new study by the University of Granada's DaSCI institute uses deep generative vision models to create highly realistic satellite images of future climate-related events. The model outperforms pure deep learning and manual solutions, reducing prediction errors and improving image reliability.
A recent study by Woods Hole Oceanographic Institution scientists found that the AMOC has not declined in the last 60 years, contrary to previous predictions. The research used climate models and reanalysis data to reconstruct the AMOC's past behavior, indicating a more stable system than expected.
Researchers developed an explainable deep learning model to predict and analyze HABs in Chinese lakes and reservoirs, achieving significant improvement over conventional machine learning methods. The model identified water temperature as the most influential factor driving algal bloom dynamics.
Researchers developed a new data assimilation algorithm using the LETKF technique to enhance global precipitation estimates. The model improved accuracy and computational efficiency, making it suitable for large-scale applications, particularly in mountainous regions.
The study introduces a novel framework that accurately predicts global warming caused by greenhouse gas emissions without relying on complex climate models. It confirms human-caused greenhouse gas emissions drive observed global warming, independently of conventional approaches.
A team led by the University of Tokyo has created a nearly 20-year-long dataset of the entire atmosphere, enabling new research on previously difficult-to-study regions. The dataset spans multiple levels of the atmosphere from ground level to the lower edge of space and could improve climate modeling and seasonal weather forecasting.
Researchers at Iowa State University have rewritten the equation for deformation and flow of watery glacier ice, which could lead to more accurate models predicting sea-level rise. The new value of the stress exponent 'n' is 1.0, indicating a linear relationship between stress and deformation speed.
The project creates a comprehensive U.S.-Japan flood risk data inventory and develops a two-way coupled, multi-scale, agent-based model that considers marginalized groups. Researchers will use the developed model to evaluate the impact of insurance policies on these groups.
A new study introduces an AI-driven method for estimating above-ground carbon at individual tree level using high-resolution satellite imagery and machine learning algorithms. This approach offers a more precise tool for measuring carbon sequestration, critical for climate adaptation and land management strategies.
A team of researchers integrated historical records from missionaries and early explorers in Tanzania to enhance the accuracy of climate change models. The study provides a longer record of climate change in the region, which can help verify climate models over the data-sparse Global South.
Computer models predict that climate change will lead to an increase in spongy moth outbreaks, causing widespread damage to forests. The fungus that normally curbs the moths' spread is expected to decline, allowing the moths to destroy more trees as temperatures rise.
A research team led by Dr Sophie Warken analyzed dripstones from the Cloşani Cave in Romania to understand precipitation variability over a period of approximately 20,000 years. The findings show that dynamic processes like the North Atlantic jet stream influence regional changes in precipitation.
Scientists have used data from CryoSat-2 and ICESat-2 to track changes in the Greenland Ice Sheet's thickness, revealing an average thinning of 1.2 meters between 2010 and 2023. The study confirms that combining satellite measurements can produce a more reliable estimate of ice loss.
A team from the University of Cambridge has developed a model to predict desert locust swarms, enabling national agencies to respond quickly. The model uses weather forecast data and computational models to forecast locust swarm movements both short and long-term.
A study found that climate- and land use change will alter the availability of wild traditional foods in the Russian Far East, affecting Indigenous Peoples' health and livelihoods. Rural households heavily rely on these foods for income, with losses predicted in central and southern areas.
Researchers trained an AI system to predict future warming based on climate model simulations and historical temperature data. The study suggests that even in the best-case scenario, global warming will likely exceed 2 degrees Celsius, with severe impacts expected in regions such as South Asia and Central Europe.
A hybrid method links bottom-up behaviors and top-down causation in a single theory to capture interactions between small-scale behaviors and system-level properties in disturbed systems. The approach has been tested in examples such as post-fire forest ecosystems and pandemics, predicting ecological patterns and system dynamics.
A new study shows that coordinating the siting of solar farms, wind farms, and storage systems can improve efficiency and reduce costs by aligning renewable power generation with demand. The approach uses fine-grained weather data and energy system modeling to maximize utilization of renewable resources.
Researchers call for a shift away from outdated bathtub modeling, which oversimplifies flood risks, and towards dynamical modeling that accounts for key factors like storm drains and levees. The study found that bathtub models are consistently inaccurate, with scores below 0.5 on the critical success index.
Researchers at the University of Washington used a global climate model to simulate how ocean and air temperatures affect sea ice in the Southern Ocean. They found that warm Southern Ocean conditions and patterns in winds can explain 70% of the record-low winter sea ice extent in 2023, with similar predictions made for 2024.
Researchers link global warming spike in 2023 to reduced low-level cloud cover, which limits Earth's ability to reflect solar radiation. This decline in planetary albedo could explain the 'missing' 0.2 degrees Celsius of warming.
Ocean scientists will deploy sensors onboard high-tech floats to study tiny turbulent movements that pull water, heat, and chemicals from the surface down into the deep. This ventilation helps regulate the Earth's climate and buffer against human-induced climate change.
A recent study published in Nature found that isoprene, a naturally occurring organic compound emitted by vegetation, significantly contributes to the formation of new particles in the upper troposphere. Isoprene oxygenated organic molecules can rapidly form new particles under certain conditions.
A study by USC Dornsife scientists used satellite imagery, digital models, and field data to analyze the June 2021 Melamchi flood's triggers. The research found that heavy monsoon rainfall combined with excessive snowmelt overwhelmed river systems, causing catastrophic flooding.
A new study assesses the sustainability of varying Pacific walrus harvest rates under different climate and human disturbance scenarios. The research finds that current harvest levels are within a sustainable range if assessed regularly and adjusted accordingly.
Researchers at University of Liverpool develop new method to measure ocean memory, revealing the North Atlantic Ocean has a nearly two-decade memory. This surpasses previous estimates and highlights the importance of ocean circulation in climate system predictability.
Researchers criticize the Digital Twin of Earth concept, highlighting the discrepancy between scientific models and reality. New computer models require new methods for appropriate data analysis and interpretation to ensure accurate knowledge and results.
A new AI model, Spherical DYffusion, can predict climate patterns over 100 years in just 25 hours, making it 25 times faster than the state of the art. The model uses generative AI and physics data to achieve this breakthrough, reducing the need for supercomputers.
A new study found that climate warming can increase the severity of bacterial infections in cold-blooded animals like corals, insects, and fish. The researchers analyzed data from 60 experimental studies and found that infected animals were more likely to die when exposed to higher temperatures.
A new study suggests that coral heat tolerance adaptation via natural selection may be insufficient to overcome the impacts of ocean warming, unless Paris Agreement commitments are realized.
A recent study suggests coral heat tolerance adaptation may not keep pace with ocean warming, and some sensitive species may face extinction. The research modelled different climate scenarios, revealing that natural selection may be insufficient to ensure coral survival under expected warming levels.
A recent study reveals that oceans produce a previously unknown sulfur gas called methanethiol, which cools the climate by increasing aerosol formation and reflecting solar radiation. This new compound is found to have a greater cooling capacity than dimethyl sulphide and its impact on climate models.
The melting of Greenland's ice sheet is accelerating due to high greenhouse gas emissions, with potential losses of up to 1735 gigatonnes of ice per year. This will lead to a one-meter rise in sea levels, posing a significant threat to millions of people in coastal areas.
A recent study identifies 'heatwave hotspots' across the globe, with extreme temperatures breaking records and causing devastating effects. The phenomenon is not limited to specific regions, but its causes are still unclear, highlighting the complexity of climate change.
A new study by Nagoya University researchers reveals a complex relationship between Arctic warming and Arctic dust. Higher temperatures lead to increased dust emissions, promoting ice nucleation in clouds and potentially counteracting temperature feedback mechanisms.
A new study provides the first worldwide map of high-risk regions experiencing accelerating extreme heat, surpassing climate model simulations. The most hard-hit areas include central China, Japan, and northwestern Europe, where sequences of heat waves led to thousands of deaths in 2022 and 2023.
A team of researchers developed an exascale climate emulator that offers faster, radically enhanced high-resolution simulations without massive data storage needs. The emulator uses mixed-precision arithmetic to preserve accuracy and improve performance.
A new study warns that climate change's impact on water resources will significantly increase the cost of achieving zero-emission grids by 2050. The required investments in generation and transmission infrastructure are expected to be massive, with up to 139 gigawatts of power capacity needed in the Western United States.
Researchers identify a quantum mechanism as key to accelerating ocean temperatures, which current climate models fail to predict. The study proposes a new paradigm that factors in non-thermal energy, suggesting a revised approach to understanding ocean thermal stability and climate change.
A new AI tool generates realistic satellite images of future flooding, which can help communities visualize and prepare for approaching storms. The method combines a generative artificial intelligence model with a physics-based flood model, producing more accurate and realistic images than an AI-only approach.
A team of researchers developed a new technique combining methods to simulate molecules, achieving accuracy and efficiency on the Frontier exascale supercomputer. They broke records with simulations of over one million electrons and scaled their algorithm to an EFlop/s processing quintillion calculations per second.
The winning team presented an exascale climate emulator that addresses the growing computational and storage requirements of high-resolution Earth System Models. This innovation enables more advanced climate modeling capabilities, holding significant potential for advancing climate research and policy-making.
A new study has obtained good climate data from Nigeria, a critical area in Africa, to improve climate models. The research focuses on housing types and electricity use, providing insights into reducing greenhouse gas emissions.
A new machine learning algorithm reconstructs wind fields quickly and accurately, even with limited observational data. This enhances storm forecasting and hazard preparedness by providing valuable data on a tropical cyclone's intensity and potential impact.
A new study warns that Colorado's West Slope basins, supporting a $5 billion agriculture economy, face a potential tipping point due to drought vulnerability. The research suggests that even moderate climate change and streamflow declines can threaten water storage, agriculture, and municipal supplies.
A modelling study predicts up to 94% of Amazonian land may become inhospitable to the Brazil nut tree by 2100 due to climate change. The study, including four climate scenarios, examines the tree's potential future in the Amazon region.
A new study will use advanced integrated hydrologic models to predict New England's water budget changes, tracking shifts in the water table, rainstorm intensity, and drought timing. The research aims to help prepare for an uncertain future by understanding where climate change is altering weather patterns.