Articles tagged with Climate Data
A recent study from the University of California, Berkeley, reveals a dramatic 25% drop in regional carbon dioxide emissions after the San Francisco Bay Area implemented its first shelter-in-place mandate. The network of carbon dioxide sensors monitored by UC Berkeley scientists effectively tracked progress toward reduced emissions.
The University of Montana researchers contributed to a global data archive for studies of animal migration in the Arctic and sub-Arctic. The archive contains over 200 projects and movement data of more than 8,000 marine and terrestrial animals from 1991 to the present.
Researchers from Oak Ridge National Laboratory have made groundbreaking discoveries in climate science, providing unprecedented data to improve global environmental models. Additionally, scientists have uncovered a mechanism that disease-causing bacteria use to anchor their protective outer membranes, which could inform strategies to c...
A massive database tracking Arctic animal movements since 1991 reveals significant changes in behavior due to climate change. Golden eagles migrate sooner, caribou give birth earlier, and herbivores struggle to find food as temperatures rise.
A new ecological dataset, AAMA, combines decades-long animal tracking studies across the Arctic to understand rapid climate changes. The open-source archive identifies early signs of local or Arctic-wide changes in animal behavior and biology due to ongoing climate change.
Researchers used a large-scale data archive of animal movement studies to find surprising patterns and associations between climate change and the behavior of golden eagles, bears, caribou, moose, and wolves. The study demonstrates the feasibility and importance of studying animal ecology on extremely large scales.
The Arctic Animal Movement Archive provides a global dataset of animal migration patterns, revealing changes in behavior and ecosystem responses to climate change. Studies have found that golden eagles arrive earlier in spring following mild winters, while caribou herds are giving birth earlier in the north.
Researchers at Imperial College London have developed drones that can deploy sensor-containing darts onto trees and collect data on forest ecosystems. The drones can also perch on tree branches like birds to collect data themselves, acting as mobile sensors.
A new grant will enable scientists to deploy 500 robotic ocean-monitoring floats around the globe, collecting data on ocean chemistry and biology between the surface and 2,000 meters. The project aims to improve computer models of ocean fisheries and climate, and monitor the effects of ocean warming and acidification.
Researchers at Arizona State University have generated a global coral reef extent map using advanced AI, predicting the location of shallow reefs with nearly 90% accuracy. The map was created by analyzing thousands of satellite images and is now available through the Allen Coral Atlas.
A new study found that climate change is driving plant extinctions in the German Black Forest, with two species already extinct and many more declining. The researchers predict that 10 more specialist species will disappear by 2045 if conditions progress as expected.
A new study reveals ocean acidification is a present-day reality on the Great Barrier Reef, with CO2 levels rising 6% over 10 years. This accelerated trend confirms atmospheric CO2's influence on seawater CO2 levels, posing significant threats to coral growth and health.
Researchers are using a new technology to monitor the movement of thawing Arctic permafrost. A 1.5-kilometer fiber-optic cable will be turned into a long line of vibration sensors to collect seismic data and predict future behavior of the thawing permafrost.
The University of Miami is collaborating with Brazilian researchers to share large-scale datasets in real time, improving weather and climate models. This collaboration will test the high-speed FABRIC infrastructure's ability to support fast data exchange.
A novel method for measuring spatial dependencies uses mathematical techniques normally used for time-series analysis to identify influences between geographic phenomena in small data sets. The approach allows for robust inferences of influences and interpolations to intermediate areas or distant regions, even with limited data.
Scientists mapped the location and size of over 1.8 billion trees using powerful supercomputers and machine learning algorithms, discovering billions of trees in arid regions. The study provides vital information for researchers, policymakers, and conservationists, including accurate counts of trees and their carbon storage potential.
Researchers at Penn State used deep learning to clear up noise in radar satellite data, enabling near real-time observation of volcanic movements. The system can build an accurate picture of the land and its movements, spotting potential warning signs like sudden land shifts.
A recent study found that the COVID-19 pandemic led to a significant decrease in global carbon dioxide emissions, with a total drop of 1551 million tonnes. The pandemic resulted in a 16.9% decline in emissions in April, largely due to lockdown measures and reduced transportation sector activity.
A new data set provides high-resolution daily temperatures from around the globe to study human health impacts from heat waves, risks to agriculture, droughts, and food insecurity. The CHIRTS-daily dataset offers accurate estimates of air temperatures for 1983-2016, supporting efforts to monitor, understand, and mitigate climate hazards.
Researchers aim to improve weather and climate prediction by modeling atmospheric gravity waves using Loon LLC's internet-connected balloon data. The project will help scientists better understand the impact of these wave phenomena on jet streams, polar vortex, and extreme weather.
Researchers from TROPOS and Leipzig University contribute to the success of the largest Arctic expedition, collecting valuable climate data and conducting key atmospheric measurements. The team's findings suggest significant changes in the Arctic atmosphere, including increased smoke levels and signs of 'Pyrocene' effects.
Researchers found that repeated droughts generally increase a forest's detrimental effects, making trees more vulnerable to stress. Conifers are particularly affected due to their vascular systems, which sustain more damage in initial droughts and hinder recovery.
Pollinator monitoring schemes offer high-quality scientific data at a much lower cost than traditional research projects. The UK Pollinator Monitoring Scheme provides world-leading evidence to better understand the status of pollinators and inform conservation efforts.
A Siberian Federal University team analyzed international trade data to determine Russia's most competitive forest products. The regions in north-west Russia excel in paper and cellulose production, while Siberia and the Far East have significant advantages in raw wood and timber exports.
A new study found that heat exposure has a stronger effect on health in less developed cities of Brazil, resulting in higher hospitalization rates. The research highlights significant socioeconomic disparities in vulnerability to heat, particularly among children and adolescents.
Researchers at Woods Hole Oceanographic Institution have developed a machine learning-based framework to improve estimates of air-sea heat exchange in the Arctic Ocean. The project leverages remote sensing technologies and data from sensors, saildrone USVs, and satellites to validate satellite-based modeling of the Arctic region.
Researchers developed a new climate model to predict water needs, combining land use projections with future climate data. The model accurately projects hydrological response and identifies dominant pathways for water loss in the Southeast.
Oregon State University (OSU) will take over systems management of Ocean Observatories Initiative's cyberinfrastructure in September 2023. The team will handle data storage and delivery for the OOI, which consists of five instrumented observatories collecting over 800 instruments' data.
A new study published in the Journal of Crime and Justice found that undocumented immigration has no significant effect on violent crime, but a negative impact on property crime. This contradicts popular misconceptions about immigrants being a driver of crime rates.
The University of Wisconsin-Madison has officially confirmed the lowest recorded temperature in the Northern Hemisphere, a chilly -93.2 degrees Fahrenheit. This extreme reading was first detected in Greenland in 1991 and has been verified through rigorous review processes by the World Meteorological Organization.
Climate data from 122 years reveal a shift from precipitation scarcity to excess heat driving concurrent droughts and heatwaves. The findings suggest bolstering risk assessment frameworks for climate adaptation and mitigation efforts.
A new research initiative aims to predict and help rural communities adapt to climate change's impact on biodiversity. The project develops novel approaches for modeling, visualizing, and forecasting spatial and temporal data.
Researchers from Brazil and the US are collecting primary data on COVID-19 responses to create a repository for future studies. The project aims to analyze policy and politics in various countries, including social policies, political regimes, formal institutions, and state capacity.
Researchers are establishing a global volunteer network to track the abundance of dragonflies and damselflies, crucial indicators of environmental changes in freshwater biodiversity. The network aims to fill gaps in knowledge by collecting standardized data over 10-15 years from citizen scientists worldwide.
A new study by UCL researchers reveals that animals in tropical and Mediterranean areas are the most sensitive to climate change and land use pressures. The findings suggest that large declines in tropical biodiversity are likely to occur imminently due to agriculture expansions and temperature extremes.
Wildfires have ravaged western states, with over 3.1 million acres burned in California alone. Climate experts blame drought, heat, and strong winds for the disaster.
An international team publishes a global reference curve in Science, reconstructing the Earth's climate since the last great extinction 66 million years ago. The study provides a detailed understanding of past climate dynamics and recurring patterns, allowing for more accurate dating and correlation of climate events.
Researchers found that tree ring data significantly overestimated climate persistence in Central Europe. The corrected temperature series suggests that medieval climate fluctuations were less pronounced than thought, making the present human-made warming even more extraordinary.
A new paleoclimate record covering the last 66 million years has significantly improved our understanding of climate variability and predictability. The study confirms four distinct climate modes: hothouse, warmhouse, coolhouse, and icehouse.
The NOAA-NASA Suomi NPP satellite captured images of smoke obscuring the US landscape, indicating a significant area of deep red range suggesting hazardous aerosol concentrations. Aerosols from fires can affect climate, visibility, and human health, particularly respiratory and cardiovascular systems.
Regional differences in Russia's alcohol consumption patterns reveal a complex relationship between government measures and unlicensed alcohol sales. Studies have shown that regions with stricter policies exhibit reduced registered alcohol consumption, but unregistered alcohol remains a significant issue.
Global methane concentrations have risen due to increased anthropogenic emissions from the fossil fuel sector and agriculture. Key findings indicate a significant role of methane in climate change, with rapid emission reductions offering substantial benefits.
A study of 109 bird species across eastern North America over a 15-year period found that some birds are more resilient to climate change than others. The research, published in Global Change Biology, suggests that conservation efforts should target vulnerable species and locations predicted to experience extreme weather events.
The Greenland Ice Sheet experienced a new record loss of mass in 2019, with a total loss of 532 billion metric tons, more than the previous record year 2012. The study, published in Communications Earth & Environment, found that the ice sheet is now heading towards increasing mass losses.
Using local producer knowledge helps estimate groundwater use in modelling for mapping sustainable use of scarce resources. Farmers' land use, agricultural practices and water use are key factors in this approach.
A study analyzing 30 years of data predicts significant ice loss and sea-level rise due to climate change. Greenland's ice sheet is expected to warm 4-6 degrees Celsius by 2100, leading to 10-12.5 centimeter increases in global sea level.
Researchers have developed a framework to reconcile discrepancies in ancient sea surface temperature estimates and climate model results. By accounting for location-biased paleoclimate data, scientists can better reconstruct global climate conditions in the past and improve predictions of future climate scenarios.
A new model by Vicky Chuqiao Yang accurately describes why politicians become more polarized despite voters staying moderate. The model, guided by the concept of 'satisficing', assumes people settle for a candidate who is 'good enough' rather than always voting for the best one.
Researchers used a Skoltech supercomputer to perform sensitivity analysis on soil parameters for crop yield prediction. They found that certain input factors, such as fertilizer usage, significantly impacted crop yields.
A study by researchers at the University of California, Berkeley, found that warmer temperatures increase the likelihood of capturing infected mosquitoes in Los Angeles neighborhoods. Sustained warm temperatures over weeks allow mosquitoes to acquire and spread the infection.
A new study found large gaps in soil macroecological studies and a lack of data for most diverse tropical regions. Researchers highlight the need for a globally standardized sampling system to overcome limitations and support policy and decision-making.
Scientists analyzed atmospheric and oceanic factors behind the 2017/18 La Niña event's cooling. Wind stress and subsurface cold water played significant roles in the event's second-year cooling, with differences observed from previous events.
Scientists have developed a new method to measure rainfall in Germany using commercial microwave links, achieving high accuracy and temporal resolution. The technique involves analyzing signal attenuation caused by precipitation, with the help of artificial intelligence, and has been successfully tested for application in West Africa.
The IBCAO 4.0 bathymetric chart provides a detailed map of the Arctic Ocean with higher and better resolution data than previous versions. The new chart reveals a great variety of glacial origins and helps to reconstruct geological processes in arctic latitudes.
A new study analyzing five hundred years of floods in Europe reveals that the continent is experiencing one of its most flood-rich periods in recent history. The research found that the last three decades have been among the most significant regarding frequency and magnitude of floods, with a shift towards more frequent summer floods.
A major international research project shows that flooding characteristics in recent decades are unlike those of previous centuries. Historical data analysis identified nine flood-rich periods and associated regions, with a shift in the timing and relationship between floods and air temperatures.
Researchers used high-quality coral genomes to study variable responses to climate change and identify genetic variants associated with bleaching. They found a polygenic risk score could predict bleaching potential in the wild, while also revealing genetic diversity in heat stress response genes.
A recent study reveals that the Carnian Pluvial Episode, a period of intense warming and humidity, occurred globally, particularly in South America. The research suggests that this global climate event may have spurred the emergence of early dinosaurs.
A major loss of grassland has occurred in Great Britain since 1990, with a net reduction of 7,668 km2 or 1.9 million acres, as woodland area increased by 5,236 km2 and urban areas expanded by 3,376 km2 between 1990 and 2015. The majority of this loss and increase occurred in Scotland and England respectively.
Researchers developed a breakthrough machine learning approach that quickly produces higher-resolution climate data, enhancing wind velocity and solar irradiance by 50 and 25 times respectively. This advancement will enable scientists to complete renewable energy studies with more accuracy and speed.