Research finds that Category '6' tropical cyclones are increasingly common in hot spots such as the Western Pacific and North Atlantic, fueled by warmer subsurface water. Human-caused climate change is responsible for up to 70% of the growth of these storm-brewing hotspots.
Research shows that flooding in delta cities like Shanghai can expand by up to 80% and be much deeper by 2100 due to extreme climate events, sea-level rise and land subsidence. A major adaptation effort is required to raise defences and construct mobile flood barriers.
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Researchers investigate how adjacent cities exacerbate each other's heat island effects. A study also highlights the need for improved hindcasting infrastructure in climate science. Additionally, a campaign monitors pinned clouds over industrial sources of heat and finds that trees are more reliable against heat stress than buildings.
A recent study demonstrates significant gains in forecast accuracy using a hybrid Shanghai Typhoon Model, which combines the strengths of both physics-based and machine-learning weather prediction models. The model achieved substantially lower track errors than state-of-the-art models during Typhoon Danas in 2025.
Researchers developed a 3-km resolution model that achieved unprecedented accuracy, reducing track errors to below 100 km over a 120-hour forecast period. The innovative variable mesh refinement strategy balances computational demands with accuracy while targeting key weather systems influencing typhoon motion.
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This study proposes a comprehensive framework for typhoon disaster knowledge services, utilizing large language models to construct structured knowledge graphs and develop intelligent question-answering systems. The proposed system achieves high accuracy in concept, entity, attribute, and relation extraction, providing seamless convers...
A new study improves typhoon track and intensity forecasts using advanced parameterization schemes for friction velocity and cloud microphysics. The results show enhanced predictions with improved timing and magnitude of extreme tropical cyclone intensity values.
A new study introduces an innovative framework that quantifies the direct impacts of typhoons on vegetation canopy structure and photosynthesis. The research assesses both immediate damage and long-term recovery, providing crucial insights for coastal ecosystem management and disaster risk assessment amid climate change.
Researchers analyzed tropical storm-related precipitation to understand its impact on local water resources and provide insights into climate predictions. The study aims to help communities prepare for extreme storms and manage water resources before and after the storms.
The 105th Annual Meeting of the American Meteorological Society will address key issues in weather, water, and climate. The meeting features a Presidential Forum on physical, social, cultural, and economic impacts of climate change, with experts from the region of the Mississippi River Delta.
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Researchers at Nagoya University have developed a new dropsonde that can be dropped into a typhoon without a parachute, showing high accuracy in measuring atmospheric data. The device measured temperature, humidity, and wind speed with differences less than 1K and 2m/sec from reference radiosonde data.
When two tropical cyclones collide in the Indian Ocean, they can intensify considerably, leading to extreme interactions between the ocean and atmosphere. The study found that effects occurred that have only been observed with much stronger cyclones, including a cooling effect of three degrees Celsius and upwelling of deep water masses.
A new model has combined data from unmanned aerial vehicles and Beidou sounding systems to improve typhoon forecasting capabilities. The results show that the forecast landing point of Typhoon Haikui was significantly closer to reality.
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Researchers found that trees exhibit two distinct swaying patterns depending on wind speed, with branches absorbing energy in light winds and whole-tree sway in higher winds. The transition between patterns occurred at different wind speeds depending on forest density, shedding light on how forests respond to wind stress.
Researchers developed a statistical seasonal forecasting model to predict typhoons landing on Taiwan Island by mid-May, achieving an accuracy rate of 98% for the period 1979-2022. The model utilizes four pre-typhoon-season environmental predictors and will benefit disaster prevention and mitigation efforts.
A recent study identifies key weather patterns contributing to typhoon clustering, including the Monsoon Trough pattern and other atmospheric factors. This clustering of tropical cyclones can significantly increase disaster risks and cause extensive damage.
Researchers at Osaka Metropolitan University have developed polyethylene rafts that are about five times more durable than traditional bamboo rafts used in oyster farming. The new rafts are designed to be affordable and can withstand harsh weather conditions, reducing damage from typhoons.
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Arctic sea ice is expected to lose mass in the coming decade due to dominant natural climate patterns. Exposure to extreme temperatures, particularly heat, may lead to adverse birth outcomes in China. Researchers also found that ocean warming intensifies typhoons, but moderation comes from atmospheric temperature and humidity changes.
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.
Research using a high-resolution climate model found that global warming amplifies the strength of typhoons in East Asia, leading to increased intense rainfall and powerful storms. The study suggests that continued escalation of global warming will result in stronger typhoons and more extensive occurrences of extreme precipitation events.
Researchers analyzed 13,000 hours of audio data from Okinawan forests before, during, and after typhoons, finding that ecosystems responded differently than expected. The study suggests that developed sites were more resilient to extreme weather than anticipated, but climate change may push these ecosystems to their limits.
A recent study highlights the urgent need to address uncertainties in tropical cyclone projections due to climate change. The research emphasizes the importance of improving predictive capabilities to refine climate adaptation strategies and safeguard vulnerable coastal regions.
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A mathematical breakthrough provides new insights into typhoon dynamics, enabling more accurate predictions and advancements in weather forecasting. The study confirms the stability of specific vortex structures, which can be encountered in real-world fluid flows.
Researchers from NTT and OIST successfully conducted the world's first simultaneous marine and atmospheric measurements directly beneath a violent, Category 5 typhoon in the North-West Pacific. The study aimed to improve typhoon prediction accuracy by understanding the mechanisms of interaction between the atmosphere and ocean using ob...
A recent study found that faster El Niño decays are associated with lower typhoon frequencies in the following summer. Researchers discovered a stronger anticyclonic anomaly over the western North Pacific, driven by tropical Indo-Pacific sea surface temperature anomalies, as a key mechanism behind this phenomenon.
Scientists developed a new method to verify typhoon track forecasts, reducing timing errors and improving accuracy. The approach analyzes a time window around each grid point, mitigating the impact of timing errors.
Researchers study links between cyclones and forest fires, finding that cyclones can create conditions ripe for fires by damaging trees and altering microclimates. As climate change increases cyclone intensity, the risk of wildfires in previously fire-resistant ecosystems like rainforests grows.
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A new study by Prof. Zhe-Min Tan and colleagues improves typhoon intensity forecasts using a regional ensemble Kalman filter, producing more accurate results than global models for short forecast lead times. The regional forecasts show better performance in predicting typhoon intensity, especially with higher spatial resolution.
Researchers found pelagic seabirds fly into the eye of a storm to reduce risk of injury or death. The birds' unique flight style allows them to navigate strong winds.
Researchers discovered a new perspective on the tropical cyclone size-intensity relationship, finding that latitude and environmental vertical wind shear are primary influences. This reexamination sheds light on the physical mechanisms underlying coordinated changes within TCs, enabling better warning systems.
A recent analysis reveals a unprecedented increase in Atlantic tropical cyclones and a decrease in Western North Pacific storms, with greenhouse gas-induced global warming potentially playing a role. The study suggests that climate models need to be evaluated to predict future changes in tropical cyclone numbers between the two basins.
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A new undersea detector has successfully detected a mild tsunami in Tokyo Bay using the power of muons and cosmic rays. This innovative system uses sensitive detectors to measure changes in ocean swells, providing accurate data for early warning systems and potentially revolutionizing tsunami monitoring.
Researchers identify significant gaps in knowledge about climate impacts on tropical cyclones, including the dynamics of storm formation and track changes. To address these limitations, they recommend extending historical datasets and improving understanding of natural variability to inform adaptive strategies.
A recent survey reveals a new method using cloud-cleared radiances improves forecasting of high-impact weather events like hurricanes and typhoons. The technique is now being applied to numerical models for enhanced daily forecasts.
Research by Prof. Lifang Sheng and team reveals the northward movement of Intertropical Convergence Zone (ITCZ) causes heavy autumn rainfall in the northern South China Sea. The ITCZ's shift north is triggered by abnormal equatorial easterlies, which strengthen during La Niña years.
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Scientists compiled a 71-year potential risk index dataset to estimate TC impact severity on the Chinese mainland, showing increased damage over time. Recent upward trends in precipitation and wind values contribute to larger TC impacts along coastal China.
Researchers from The University of Tokyo Institute of Industrial Science have developed a new flood forecasting system that can predict extreme flooding events with a 32-hour lead time. This system is based on models of land surface and river routes, combined with meteorological data and statistical analysis.
A University of Tsukuba study found that Japan's south foehn is driven by dynamic mechanisms, not thermodynamic effects. Dangerously hot windstorms occurred when a typhoon was present, highlighting the need for predictive models to mitigate harm.
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In 2020, China experienced a warm and wet climate, with floods and droughts being the most prevalent types of disasters. The mean air temperature was 0.7°C above normal, and annual rainfall was 10.3% above average.
The study found that sea surface temperature fluctuations in tropical Pacific, Indian, and Atlantic Oceans contribute to heavy rainfall events in China. Additionally, the Siberian High pressure system played a significant role in inducing cold surges during the winter of 2020/21.
A new method developed by University of Tsukuba researchers detects multiple landslides associated with Typhoon Talas, revealing smaller landslides detected hundreds of kilometers from the epicenter.
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The launch of a comprehensive tropical cyclone database and recent marine observing experiments may improve prediction accuracy and help mitigate disasters. Researchers aim to better understand tropical cyclones to inform disaster reduction planning, using technologies like artificial intelligence and unmanned vehicles.
A team of scientists has identified landfalls of tropical cyclones in Japan for the period from 1877 to 2019, providing valuable knowledge for disaster preparedness. The analysis shows that TC landfall locations tend to shift and annual numbers have been increasing in recent years.
Research by GIST and Utah State University found that three typhoons in Korea created an atmospheric wave train that amplified weather conditions in California and Oregon, increasing the likelihood of wildfires. The study highlights the global impact of extreme weather events.
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Researchers establish objective standards for defining and identifying binary tropical cyclones (BTCs), which can bring extreme precipitation and cause serious disasters. The study analyzed two best-track datasets and provides a main standard for defining BTCs, based on separation distance and coexistence time.
Typhoon Chan-hom's heaviest rainfall was pushed northeast of its center due to wind shear. Rainfall rates reached 30 mm/hour just north of the center.
Typhoon Chan-hom is generating heavy rainfall with rates of up to 30 mm/h in its ragged eyewall. The storm is expected to bring significant rain to Japan, with warnings issued for the southernmost big island.
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NASA's Aqua satellite captured visible images of Typhoon Kujira transitioning into an extra-tropical storm, highlighting the effects of strong wind shear. The storm's center of circulation was surrounded by wispy clouds, while powerful southwesterly vertical wind shear pushed clouds and showers northeast of the center.
Infrared data from NASA's Terra satellite revealed Typhoon Kujira's strongest storms and coldest cloud top temperatures, indicating potential heavy rainfall. The storm's maximum sustained winds were near 65 knots on Sept. 29.
Tropical Storm Noul is intensifying in the South China Sea, forecast to strengthen into a typhoon before landfall in central Vietnam. NASA's Suomi NPP satellite captured visible images of the storm on September 16, showing building convection and clouds obscuring its low-level circulation center.
Typhoon Haishen made landfall in South Korea, bringing heavy rain, storm surge, and landslides. NASA's Aqua satellite captured infrared data showing the storm's temperature and rainfall potential, helping forecasters predict its path.
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Haishen has strengthened into a Category 4 hurricane/typhoon with sustained winds near 140 knots (161 mph/259 kph), forecast to peak later on Sept. 4 and make landfall in South Korea after 3 days.
Maysak made landfall on Sept 2 at 12 miles west of Busan, South Korea, with maximum sustained surface winds of 64 knots. The storm underwent extra-tropical transition, gaining frontal characteristics, and is forecast to deepen as a low-pressure area over North Korea and China.
Typhoon Haishen has a 10 nautical-mile wide eye surrounded by hundreds of miles of thunderstorms, intensifying to 130 knots with forecast landfall in South Korea. NASA's Terra satellite captures visible images revealing deep convection and spiral banding.
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Typhoon Maysak is forecast to make landfall in southern South Korea, with maximum sustained winds near 90 knots. The storm will weaken rapidly as it passes over the Korean peninsula before dissipating over northeastern China.
Typhoon Haishen strengthened rapidly after forming as Tropical Depression 11W on August 31. NASA's Terra satellite gathered data on the storm's water vapor content and temperature, revealing high concentrations of water vapor and cold cloud top temperatures.
Typhoon Maysak's eye is expected to pass just west of Okinawa Island within 24 hours. The storm has maximum sustained winds near 100 knots (115 mph/185 kph) and is predicted to make landfall in southern South Korea.
Tropical Storm Bavi made landfall in northwestern North Korea, weakened to a tropical storm with maximum sustained winds near 40 knots. The storm has transitioned to an extra-tropical cyclone, retaining hurricane-force winds as it moves across northeastern China.
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Typhoon Bavi, a large storm in the Yellow Sea, was captured by NASA's EPIC camera aboard DSCOVR satellite on August 25, 2020. The storm had maximum sustained winds near 100 knots and was moving northwards.
A team of researchers found that black-naped terns adjust their migration timing and path based on typhoon activity, with those migrating during peak typhoon season targeting stopover areas. The study used geographic tracking data from 20 birds to understand how the birds respond to environmental cues and optimize their routes.