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.
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.
Researchers unveiled a theoretical model that shows specific structural details on surfaces can influence water's freezing point. The model identifies angles between microscopic bumps on a surface that make it easier for water molecules to crystallize at relatively warmer temperatures.
A new method for correcting glare in plant phenotyping has been developed, using polarized light to improve accuracy and reduce complexity. The technique has been validated in field trials, showing significant improvements in image data accuracy and reduction of error and variance.
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The study reveals that a specific MP scheme simulates storms with less rain evaporation and weaker air movements compared to others. It also found that this scheme produces more cloud ice but rains less on the ground due to its handling of icy particles.
Researchers develop a novel approach using SIF and PRI to estimate GPP in rice canopies, showing significant correlations between these indexes and GPP across various timescales. The study reveals the dynamic responses of PRI/SIF to environmental conditions and demonstrates improved correlation by distinguishing between shaded and sunl...
A new study by Penn State researchers reveals that Arctic sea ice loss will deplete the source of cold air for North America, leading to less cold weather events. The loss of sea ice also changes weather patterns, allowing warmer temperatures to reach the surface.
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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.
A study published in PLOS ONE predicts that climate change will inundate over 4,200 archaeological sites along the US state's coast, with nearly 5,000 at risk by 2100. The authors used a predictive model to account for storm surge events, highlighting the need for cultural heritage managers to take action.
A new study reveals that increased meltwater in the North Atlantic can trigger hotter and drier European summers. The study suggests a predictable chain of events leading to European summer weather, due to higher levels of freshwater in the North Atlantic.
A new study using a high-resolution global climate model found that cloud clustering causes more extreme rain in the tropics, leading to increased severity of precipitation events. The researchers also discovered that more extreme rain occurs at the cost of expansion of dry areas, further shifting towards extreme weather patterns.
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A recent study published in npj Climate and Atmospheric Science reveals that changes in subtropical and midlatitude eddy activity control the variation of the Hadley cell edge latitude. The researchers analyzed 41 years of data and found associations with El Niño, La Niña, and the Arctic oscillation.
Researchers found that compact, faster-moving storms are more susceptible to global warming's effects, while larger, slower-moving typhoons are more resilient. This discovery could lead to improved methods for projecting typhoon strength under warming conditions.
A new compound flooding model predicts that New York City will experience historic and devastating floods every 30 years by the end of this century, a fivefold increase from the present climate. The tool helps city planners prepare and protect against future disasters by providing detailed flood forecasts.
Researchers at Max Planck Institute for Dynamics and Self-Organization developed a precision apparatus to observe non-spherical particles settling in air. They found that particles tend to oscillate as they settle, which could impact collision rates, travel distance, and solar radiation interaction.
A new study reveals that microplastic fibers settle substantially slower than spherical particles in the atmosphere, allowing them to reach remote regions such as Arctic glaciers. The research suggests that these fibers could even reach the stratosphere, with potential implications for cloud processes and ozone depletion.
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Korea Maritime & Ocean University researchers have developed a new method for assessing the path-following performance of autonomous ships in adverse weather conditions. The computational fluid dynamics model can provide more accurate predictions of path-following performance and enhance safety in autonomous marine navigation.
A GEOMAR study found that low North Atlantic sea surface temperatures are responsible for heat events on land. The researchers discovered a link between cold ocean temperatures and European heat waves, which contributes to the formation of high pressure systems and clear skies.
Researchers from the University of Córdoba used machine learning models to predict reference evapotranspiration in Southern Spain until 2100. The projections indicate a significant increase in water needs, with air temperature being the key factor in calculating this parameter.
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Researchers found that space weather events can trigger 'wrong side' failures in rail signalling systems, which are more hazardous than 'right side' failures. This study highlights the need for the industry to consider the risks of space weather and explore mitigation strategies.
Researchers found that compound energy droughts can occur nationwide, with varying frequencies and durations across regions. Understanding these droughts will help grid planners prepare for energy storage needs and inform deployment of long-duration energy storage projects.
A new study improves thunderstorm forecasting by utilizing Geostationary Operational Environmental Satellite (GOES-R) lightning flash observations. The implementation of the EnVAR assimilation capabilities successfully enhances the forecasting performance, especially over regions lacking operational weather radar observations.
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Researchers develop a mathematical model that analyzes the future survival of plants in a changing climate by studying how far wind can carry seeds. The model provides fast and reliable predictions of seed movement, considering factors like seed type, plant height, and wind speed.
A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.
Native Americans in Oklahoma have approximately five times increased risk of heavy rainfall, with two-year floods projected to be 632.6% higher than the general population. The study aims to help Native American leaders develop disaster risk reduction plans and protect vulnerable communities.
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A new study of 600 years of tree rings from the San Joaquin Valley reveals that climate extremes have been more severe and lasted longer than modern records, highlighting flood and drought risks in California. The research combines paleo information with synthetic weather generation to help understand and anticipate these risks.
Researchers found that the coastline produces up to five times more giant sea salt aerosols than the open ocean, affecting cloud formation and rainfall around the Hawaiian Islands. The study's findings can improve numerical weather prediction of nearshore cloud formation and rainfall patterns.
Researchers analyzed microplastics in mountain clouds and found they can modify particles in ways that enable them to affect cloud formation. The study also found that clouds can increase the presence of toxic metals on these particles.
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Researchers found that well-designed urban land patterns can moderate or even reduce population exposures to weather extremes, regardless of city size. Properly designed cities can generate a meaningful reduction in the increase in risks from climate change.
A Drexel University study projects 82 more days of water shortfalls in the Schuylkill Watershed, which could only meet demand about 67% of the time due to climate change. This would lead to drought-like conditions and require difficult tradeoffs in resource management.
A new hybrid method developed by Concordia researchers combines data from Weibull probability distribution and numerical weather prediction models to improve wind speed forecasting accuracy. This innovation has the potential to significantly enhance urban power generation, particularly in areas with high variability in wind speeds.
A new jet stream has been discovered in Jupiter's upper atmosphere by the James Webb Space Telescope, showing winds reaching speeds of up to 500 km/h. The discovery provides new insights into the atmospheric dynamics of gas giants and could shed light on global temperature variations.
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The National Science Foundation has awarded $1.6 million to Emory University researchers to develop predictive models for farmers to adapt to climate change in Georgia, Iowa and Ohio. The project aims to create a public online tool to explore possible futures of agriculture at regional and state levels.
Researchers from Texas A&M University's Department of Geography and collaborating departments aim to improve understanding of how environmental hazards influence human health outcomes. The project, 'Climate-LEAD,' will create robust models using localized data to inform decision-making in vulnerable communities.
A recent study using SENTINEL-2 satellite images estimated burned areas with 96% accuracy, revealing a much larger area affected by wildfires than previously thought. This higher precision will help improve estimates of greenhouse gas emissions and inform fire management decisions.
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Research investigates impact of storm fronts, tropical storms, and cyclones on ocean circulation, finding changes in atmospheric synoptic variability (ASV) slow down ocean circulation and decrease primary productivity. ASV variations also affect mixing of ocean's layers and strength of oceanic circulation systems.
Researchers analyzed 50 years of Bordeaux wine critic scores with weather data to show that warmer temperatures, higher rainfall, and earlier seasons yield better vintages. Climate change is predicted to increase these conditions, potentially improving wine quality, but water scarcity poses a risk.
Research reveals that Category 4 and 5 hurricanes are arriving three to four days earlier with each passing decade due to climate change. This shift in seasonal cycle can lead to compounding extreme events and challenges community preparedness.
Researchers used paleoaltimetry technique to reveal early mountain range uplift in Southern Tibetan Plateau. The study found that the region had achieved an elevation of approximately 3.5 kilometers by 63 to 61 million years ago, challenging established notions of Tibetan Plateau formation.
A research team led by Yongjie Huang is exploring the complex interactions between convective clouds and their surrounding environments. They aim to understand how convection initiates and how convective cells interact with their environment, ultimately improving computer models for forecasting.
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A PSU study examines how atmospheric patterns influencing the weather won't necessarily become stronger or more frequent by the end of the century. Instead, warmer temperatures will lead to an increase in rainfall over the Pacific Northwest in most seasons except summer.
Researchers developed an advanced terrain-smoothing technique to simulate complex weather phenomena, capturing detailed flow features and turbulence. The targeted smoothing method improves the accuracy of downslope windstorm predictions in urban areas, holding promise for more accurate weather forecasts.
The PhenoSphere enables detailed analyses of performance-related trait expression and causal biological mechanisms in plant populations exposed to weather conditions. It simulates clouds, wind speed, and direction, and applies water and fertilization automatically, allowing for systems biology analyzes and hypothesis testing.
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A new model shows London's cooling demand grew by 5% per year between 1980 and 2022 as summers heat up, highlighting the need for preparedness and energy efficiency measures. The Demand.ninja model can also predict potential benefits of behavior change, such as reducing natural gas consumption and CO2 emissions.
Climate experts predict a decline in tropical storm frequency by 50% by 2050 across the Ganges and Mekong basins, but an increase in intensity, with high-resolution models showing significant increases for intense storms. This shift could impact disaster risk mitigation and climate adaptation strategies.
Researchers at the University of Melbourne have developed a new simulation model that can predict flooding during an ongoing disaster more quickly and accurately. The Low-Fidelity, Spatial Analysis and Gaussian Process Learning (LSG) model can produce predictions as accurate as advanced models but at speeds 1000 times faster.
Researchers at the University of Oklahoma are receiving US DOE funding to explore atmospheric processes that lead to extreme weather events. The project aims to better understand blocking patterns and their impact on climate change, ultimately informing local, state, and national leaders on how to prepare for these events.
A deep learning approach has unveiled a significant change in the characteristics of global daily precipitation for the first time. The research found that on more than 50% of all days, there was a clear deviation from natural variability in the daily precipitation pattern since 2015.
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Researchers at the University of Surrey are developing thermo-active road solutions that could reduce carbon emissions and improve road safety. The new technology uses geothermal energy to regulate road surface temperatures, reducing damage from extreme weather.
A new climate modeling method called ensemble boosting can simulate a large set of extreme but plausible heat waves, providing a worst-case scenario for planning and preparation. This method helps prepare for the potential loss of tens of thousands of lives in extreme heat waves.
A new study reveals that volcanic eruptions can temporarily weaken the Pacific Walker Circulation, a major driver of global precipitation. The recent strengthening of this circulation suggests that aerosols from human activity may have an opposite effect on its behavior.
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...
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A research group from Nagoya University simulated clear air turbulence using Japan's fastest supercomputer. They found that wind speed disturbances occur due to the collapse of Kelvin-Helmholtz instability waves, creating turbulence in the absence of visible clouds or other atmospheric disturbances.
A study of maize hybrid varieties over 81 years found that while maize's tolerance to moderate heat stress has improved, its tolerance to severe heat stress has decreased. This shift in tolerance could have significant implications for climate change's impact on agriculture.
Researchers have identified an operational strategy that can reduce shipping emissions by up to a quarter by combining modern sail technology with efficient routing systems. The study found that this approach can provide greater assurances of carbon savings by mitigating the impact of unpredictable weather patterns.
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Researchers analyzed satellite data from 1967 to 2021, finding nearly twice as many grids with declining snow cover as advancing ones. Snow presence is decreasing in Arctic and southern latitudes, while some areas like Eastern Canada see an increase.
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...
Research from Cornell University estimates that wildfire smoke can cause between 4,000 and 9,000 premature deaths and cost between $36 to $82 billion per year in the United States. Metropolitan regions near fire sources are likely to experience a large health burden and economic loss.
Researchers at RIKEN have demonstrated a method to prevent severe weather events by inducing small perturbations in the Lorenz 96 model. This approach utilizes the inherent chaos in weather systems to limit extreme events, which become more common due to climate change.
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The UK is investing £11 million to improve forecast accuracy for extreme weather events like storms, floods and droughts. Scientists are focusing on atmospheric turbulence to create more detailed models.