In 2024, there were 42 hurricanes registered worldwide, up from 45 hurricanes a year earlier. This was nevertheless below the average of 47 hurricanes per year registered from 1990 to 2022. The years of 1992 and 2018 tied as the most active in the indicated period, each with 59 hurricanes recorded. The Pacific Northwest basin recorded the largest number of hurricanes in 2024. Most exposed countries to hurricanes With the Pacific Northwest basin being one of the most active for hurricanes in the world, there is perhaps no surprise that Japan and the Philippines were two of the countries most exposed to tropical cyclones in 2024, both West Pacific nations. Meanwhile, the Dominican Republic was the most exposed country in the Atlantic Ocean and ranked first as the most exposed country worldwide during the same year. Effects of tropical cyclones From 1970 to 2019, almost 800,000 deaths due to tropical cyclones have been reported worldwide. In the past decade, the number of such casualties stood at some 19,600, the lowest decadal figure in the last half-century. In contrast to the lower number of deaths, economic losses caused by tropical cyclones have continuously grown since 1970, reaching a record high of more than 700 billion U.S. dollars from 2010 to 2019.

In 2024, the United States experienced 29 natural disasters, which made it the most natural catastrophe-prone country in the world that year. Indonesia and China came second on that list, with 20 and 18 natural disasters occurring in the same year, respectively. Storms were the most common type of natural disaster in 2024. Types of natural disasters There are many different types of natural disasters that occur worldwide, including earthquakes, droughts, storms, floods, volcanic activity, extreme temperatures, landslides, and wildfires. Overall, there were 398 natural disasters registered all over the world in 2023. Costs of natural disasters Due to their destructive nature, natural disasters take a severe toll on populations and countries. Tropical cyclones have the biggest economic impact in the countries that they occur. In 2024, tropical cyclones caused damage estimated at more than 145 billion U.S. dollars. Meanwhile, the number of deaths due to natural disasters neared 18,100 that year. The Heat Wave in Saudi Arabia had the highest death toll, with 1,301 fatalities. Scientists predict that some natural disasters such as storms, floods, landslides, and wildfires will be more frequent and more intense in the future, creating both human and financial losses.

In 2024, there were four hurricanes tracked in the Atlantic basin, up from seven recorded a year earlier. 2020 had recorded the second most active hurricane season in the displayed period. It only ranked behind 2005, when 15 hurricanes were recorded in the region. Between 1990 and 2021, there were on average seven hurricanes tracked per year in the Atlantic. In the same period, 54 hurricanes made landfall in the U.S.

Note: This is a real-time dataset. If you do not see any data on the map, there may not be an event taking place. The Atlantic hurricane season begins on June 1 and ends on November 30, and the eastern Pacific hurricane season begins on May 15 and ends on November 30.Hurricanes, also known as typhoons and cyclones, fall under the scientific term tropical cyclone. Tropical cyclones that develop over the Atlantic and eastern Pacific Ocean are considered hurricanes.Meteorologists have classified the development of a tropical cyclone into four stages: tropical disturbance, tropical depression, tropical storm, and tropical cyclone. Tropical cyclones begin as small tropical disturbances where rain clouds build over warm ocean waters. Eventually, the clouds grow large enough to develop a pattern, where the wind begins to circulate around a center point. As winds are drawn higher, increasing air pressure causes the rising thunderstorms to disperse from the center of the storm. This creates an area of rotating thunderstorms called a tropical depression with winds 62 kmph (38 mph) or less. Systems with wind speeds between 63 kmph (39 mph) and 118 kmph (73 mph) are considered tropical storms. If the winds of the tropical storm hit 119 kmph (74 mph), the storm is classified as a hurricane. Tropical cyclones need two primary ingredients to form: warm water and constant wind directions. Warm ocean waters of at least 26 degrees Celsius (74 degrees Fahrenheit) provide the energy needed for the storm to become a hurricane. Hurricanes can maintain winds in a constant direction at increasing speeds as air rotates about and gathers into the hurricane’s center. This inward and upward spiral prevents the storm from ripping itself apart. Hurricanes have distinctive parts: the eye, eyewall, and rain bands. The eye is the calm center of the hurricane where the cooler drier air sinks back down to the surface of the water. Here, winds are tranquil, and skies are partly cloudy, sometimes even clear. The eyewall is composed of the strongest ring of thunderstorms and surrounds the eye. This is where rain and winds are the strongest and heaviest. Rain bands are stretches of rain clouds that go far beyond the hurricane’s eyewall, usually hundreds of kilometers. Scientists typically use the Saffir-Simpson Hurricane Wind Scale to measure the strength of a hurricane’s winds and intensity. This scale gives a 1 to 5 rating based on the hurricane’s maximum sustained winds. Hurricanes rated category 3 or higher are recognized as major hurricanes. Category 1: Wind speeds are between 119 and 153 kmph (74 and 95 mph). Although this is the lowest category of hurricane, category 1 hurricanes still produce dangerous winds and could result in damaged roofs, power lines, or fallen tree branches. Category 2: Wind speeds are between 154 and 177 kmph (96 and 110 mph). These dangerous winds are likely to cause moderate damage; enough to snap or uproot small trees, destroy roofs, and cause power outages. Category 3: Wind speeds are between 178 and 208 kmph (111 and 129 mph). At this strength, extensive damage may occur. Well-built homes could incur damage to their exterior and many trees will likely be snapped or uprooted. Water and electricity could be unavailable for at least several days after the hurricane passes. Category 4: Wind speeds are between 209 and 251 kmph (130 and 156 mph). Extreme damage will occur. Most of the area will be uninhabitable for weeks or months after the hurricane. Well-built homes could sustain major damage to their exterior, most trees may be snapped or uprooted, and power outages could last weeks to months. Category 5: Wind speeds are 252 kmph (157 mph) or higher. Catastrophic damage will occur. Most of the area will be uninhabitable for weeks or months after the hurricane. A significant amount of well-built, framed homes will likely be destroyed, uprooted trees may isolate residential areas, and power outages could last weeks to months. This map is built with data from the NOAA National Hurricane Center (NHC) and the Joint Typhoon Warning Center (JTWC). The map shows recent, observed, and forecasted hurricane tracks and positions, uncertainties, wind speeds, and associated storm watches and warnings. This is a real-time dataset that is programed to check for updates from the NHC and JTWC every 15 minutes. If you are in an area experiencing a tropical cyclone, tune into local sources for more up-to-date information and important safety instructions. This map includes the following information: Forecast position points: These points mark the locations where the NHC predict the tropical cyclone will be at 12, 24, 36, 48, 72, 96, and 120 hours in the future.Observed position points: These points mark the locations where the tropical cyclone has been.Forecast track: This is the line that connects the forecast points and marks the expected path of the hurricane.Observed track: This line marks the path the tropical cyclone has already taken.Cone of uncertainty: Due to the complexity of ocean atmospheric interactions, there are many different factors that can influence the path of a hurricane. This uncertainty is represented on the map by a cone. The further into the future the forecast is, the wider the cone due to the greater uncertainty in the precise path of the storm. Remember rain, wind, and storm surge from the hurricane will likely impact areas outside the cone of uncertainty. This broader impact of wind can be seen if you turn on or off Tropical Storm Force (34 Knots) 5-Day Wind Probability, Strong Tropical Storm Force (50 Knots) 5-Day Wind Probability, or Hurricane Force (64 Knots) 5-Day Wind Probability map layers.Watches and warnings: Storm watches or warnings depend on the strength and distance from the location of the forecasted event. Watches indicate an increased risk for severe weather, while a warning means you should immediately move to a safe space.Tropical storm watch: The NHC issues this for areas that might be impacted by tropical cyclones with wind speeds of 34 to 63 knots (63 to 119 kilometers per hour or 39 to 74 miles per hour) in the next 48 hours. In addition to high winds, the region may experience storm surge or flooding.Tropical storm warning: The NHC issues this for places that will be impacted by hurricanes with wind speeds of 34 to 63 knots (63 to 119 kilometers per hour or 39 to 74 miles per hour) in the next 36 hours. As with the watch, the area may also experience storm surge or flooding.Hurricane watch: The NHC issues this watch for areas where a tropical cyclone with sustained wind speeds of 64 knots (119 kilometers per hour or 74 miles per hour) or greater in the next 48 hours may be possible. In addition to high winds, the region may experience storm surge or flooding.Hurricane warning: The NHC issues this warning for areas where hurricanes with sustained wind speeds of 64 knots (119 kilometers per hour or 74 miles per hour) or greater in the next 36 hours are expected. As with the watch, the region may experience storm surge or flooding. This warning is also posted when dangerously high water and waves continue even after wind speeds have fallen below 64 knots.Recent hurricanes: These points and tracks mark tropical cyclones that have occurred this year but are no longer active.

Want to learn more about how hurricanes form? Check out Forces of Nature or explore The Ten Most Damaging Hurricanes in U.S. History story.

As of 2024, there were more than 7.7 million single-family homes at risk of storm surges from hurricanes in the Atlantic and Gulf coasts in the United States. Hurricanes of category 1 and 2 alone could put around 2.8 million homes at risk. Between 1851 and 2022, more than 200 Category 1 and 2 hurricanes made landfall in the U.S.

Hurricane Tracker App Market Outlook

The global hurricane tracker app market size was valued at USD 230 million in 2023 and is expected to reach USD 420 million by 2032, growing at a Compound Annual Growth Rate (CAGR) of 6.9% from 2024 to 2032. The market growth is primarily driven by increasing awareness about natural disasters and the need for real-time data dissemination to mitigate the impact of hurricanes. The growing prevalence of smartphones and the increasing internet penetration worldwide are also significant factors contributing to market growth.

One of the primary growth factors for the hurricane tracker app market is the rising occurrence of severe weather events. With climate change contributing to more frequent and intense hurricanes, there is an increasing need for accurate and timely information to help individuals and organizations prepare and respond effectively. Advanced technology enables more sophisticated tracking and prediction models, enhancing the reliability and functionality of hurricane tracker apps. Additionally, the increasing number of smartphone users worldwide creates a larger potential audience for these applications.

Another significant growth factor is the expanding use of artificial intelligence (AI) and machine learning (ML) in weather forecasting. These advanced technologies can analyze vast amounts of data quickly and accurately, providing users with more precise forecasts. AI and ML algorithms can also learn from past storm patterns to predict future events better. This technological advancement not only improves the accuracy of hurricane tracking but also boosts user confidence in these applications, further driving market growth.

Furthermore, government initiatives and policies aimed at disaster preparedness and management are fostering the development and adoption of hurricane tracker apps. Many governments worldwide are investing in technologies and systems to enhance their disaster response capabilities. This includes funding for the development of advanced tracking and alert systems that can be integrated into mobile applications. Public awareness campaigns and educational programs also play a crucial role in encouraging the use of these apps, thereby supporting market growth.

In the context of hurricane preparedness, the use of a Storm Panel is a crucial aspect that homeowners and businesses consider to safeguard their properties. These panels are designed to protect windows and doors from the high winds and flying debris associated with hurricanes. The demand for storm panels has been increasing, especially in regions prone to frequent hurricanes. Their effectiveness in minimizing property damage makes them a popular choice among individuals and organizations looking to enhance their disaster preparedness strategies. As the frequency and intensity of hurricanes continue to rise, the market for storm panels is expected to grow, complementing the adoption of hurricane tracker apps.

From a regional perspective, North America holds a significant share of the hurricane tracker app market, driven by the high frequency of hurricanes in the region and the presence of advanced technological infrastructure. The Asia Pacific region is also expected to witness substantial growth due to increasing smartphone penetration and the rising occurrence of severe weather events in countries like Japan, China, and the Philippines. Europe, Latin America, and the Middle East & Africa also present growth opportunities, although at a relatively moderate pace compared to North America and Asia Pacific.

Platform Analysis

The platform segment of the hurricane tracker app market includes iOS, Android, and web-based platforms. iOS platforms cater to users of Apple devices, including iPhones and iPads. The stringent quality standards and the robust performance of iOS apps make them a popular choice among users who prioritize reliability and user experience. The high penetration of Apple devices in key markets such as North America and Europe further supports the growth of iOS-based hurricane tracker apps. Developers also benefit from the consistent updates and support provided by Apple, ensuring that their apps remain compatible with the latest operating system versions.

Android platforms, on the other hand, represent a larger user base globally due to the widespread adoption of Android devices. Android hurricane tracker apps cater to a diverse audience, including users from emerging ma

Atlantic Named Storms: Maximum Wind Speeds (1950-Present)

Analyzing the Impact of Storms on Wind Speeds

By Aaron Simmons [source]

About this dataset

This dataset contains a comprehensive collection of Atlantic named storms from 1950 to present, including the start and end dates, maximum and minimum wind speeds, and minimal air pressure for each storm. All data is gathered from reliable sources, providing accurate information about these powerful storms that have plagued the coasts since records began. This overview of past named storms gives us a better understanding of hurricane patterns over time and provides insights into what might be possible in the future. Dive into this dataset to learn more about how our environment is changing and affecting conditions for hurricane formation!

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How to use the dataset

This dataset provides data on wind speed and pressure information for Atlantic named storms since 1950. It contains start and end dates, maximum wind speed in mph, minimum pressure in millibars, and the type of storm. This data can be useful for analysis of large scale weather events throughout the Atlantic basin.

Using this dataset, one could do a variety of analyses to compare or better understand historical or recurring major storms or hurricanes. For example, researchers could examine the production intensity of hurricanes over time with boxes plots by season. Data analysts can also investigate if there is a trend in hurricane intensity between 1950-present by calculating yearly average maximum sustained wind speeds as well as looking at differences between El Nino years versus La Nina years through graphical representation such as scatterplots.

In addition to hurricane research, this dataset can also be used to evaluate coastal insurance policies and risk assessment models that are reliant on storm surge heights related with pressure drops during an event. By monitoring the relative values observed from these individual storms over time it can help shoreline communities more accurately plan their future investments against potential coastal hazards like floods and stormwave heights generated from incoming cyclones making landfall along their coasts - providing them enough advance warning should they ever face a similar situation again potentially saving lives from mass evacuations being orchestrated due to inaccurate declarations which would later prove fruitless after extensive damage assessments had been conducted afterwards bypassing most ideal solutions involving forecast priority solutions that were put forth prior to any initial forecasts being made concerning a given events severity so that no miscommunication has led to insufficient resources & services being dispatched out just before those devastating waves come crashing down yet again renewing long membered disasters & tragedies we’re all trying hard work towards mitigating each passing day..

In conclusion this Atlantic Namedstorm Maximum Wind Speed Dataset has many possibilities when it comes towards discovery through means like these exemplified previously! But hopefully now you have an understanding how powerful this data set may become with just your vision alone !

Research Ideas

• Analysing the correlation between wind speeds and the pressure of storms in different years or months to identify seasonal trends and predict future storm severity.
• Comparing how different types of storms from 1950-present have changed in strength over time by measuring their average wind speed over time to see what factors have had a significant impact on the speed at which they travel.
• Creating an interactive visualization tool that can compare area-specific data for average wind speeds of storms across multiple years, allowing homeowners and other stakeholders to easily observe changes with regards to damage due to high winds at a local level for various points in history

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: Named Storm Data - since 1950.csv | Column name | Description | |:-------------------------|:-------------------------------------------------------------------| | Year | The year the storm occurred. (Integer) | | Storm Name | The name of the storm. (String)...

This study used computer modeling to study the impacts of hurricanes across the Yucatan Peninsula since 1851. For details on methods and results please see the published paper (Boose, E. R., D. R. Foster, A. Barker Plotkin and B. Hall. 2003. Geographical and historical variation in hurricanes across the Yucatan Peninsula. In Lowland Maya Area: Three Millennia at the Human-Wildland Interface. A. Gomez-Pompa, M. F. Allen, S. Fedick and J. J. Jimenez-Osornio, eds. Haworth Press, New York, NY. In press). The Abstract from the paper is reproduced below. "The ecological impacts of hurricanes across the Yucatan Peninsula over the last 150 years were investigated using a simple meteorological model (HURRECON) developed at Harvard Forest as well as a database of historical hurricane data (HURDAT) maintained by the U. S. National Hurricane Center. All hurricanes over the period 1851-2000 with sustained winds of hurricane force (33 meters/sec) within 300 kilometers of the study region were analyzed (n = 105). Each storm was reconstructed to produce estimates of wind damage on the Fujita scale across the region. Individual reconstructions were then compiled to study cumulative impacts of all 105 storms. "Results showed considerable variation in hurricane activity from year to year, and from decade to decade, while at the half-century scale there was an increase in hurricane intensity since the mid-nineteenth century. Ninety percent of the hurricanes causing F1 damage or higher (on the Fujita scale) occurred in the months of August, September, and October. A strong spatial gradient in hurricane frequency and intensity extended across the region from northeast to southwest, resulting from (1) the greater number of hurricanes to the north, (2) the east to west movement of most hurricanes across the area, and (3) the tendency for most hurricanes to weaken significantly after landfall. For example, during the study period, northeastern parts of the peninsula experienced a minimum of one F3 hurricane, six F2 hurricanes, and thirty F1 hurricanes, while southwestern parts experienced no F2 or F3 damage and fewer than five F1 storms. Though a significant disturbance across much of the Yucatan Peninsula, hurricanes may have shorter-lived and less severe ecological impacts than fire or human land use. The interaction of these factors (e.g., fires following hurricanes), however, may be very significant and deserves further study."

This project used a combination of historical research and computer modeling to study the impacts of hurricanes in New England since 1620. For details on methods and results, please see the published paper (Boose, E. R., K. E. Chamberlin and D. R. Foster. 2001. Landscape and regional impacts of hurricanes in New England. Ecological Monographs 71: 27-48). The Abstract from the paper is reproduced below. "Hurricanes are a major factor controlling ecosystem structure, function and dynamics in many coastal forests and yet their ecological role can be understood only by assessing impacts in space and time over a period of centuries. We present a new method for reconstructing hurricane disturbance regimes using a combination of historical research and computer modeling. Historical data on wind damage for each hurricane in the selected region are quantified using the Fujita scale to produce regional maps of actual damage. A simple meteorological model (HURRECON), parameterized and tested for selected recent hurricanes, provides regional estimates of wind speed, direction, and damage for each storm. Individual reconstructions are compiled to analyze spatial and temporal patterns of hurricane impacts. Long-term effects of topography on a landscape scale are then examined with a simple topographic exposure model (EXPOS). "We applied this method to New England, USA, examining hurricanes since European settlement in 1620. Results showed strong regional gradients in hurricane frequency and intensity from southeast to northwest: average return intervals for F0 damage on the Fujita scale (loss of leaves and branches) ranged from 5 to 85 years, average return intervals for F1 damage (scattered blowdowns, small gaps) ranged from 10 to more than 200 years, and average return intervals for F2 damage (extensive blowdowns, large gaps) ranged from 85 to more than 380 years. On a landscape scale, average return intervals for F2 damage in the town of Petersham MA ranged from 125 years across most sites to more than 380 years on scattered lee slopes. Actual forest damage was strongly dependent on land-use and natural disturbance history. Annual and decadal timing of hurricanes varied widely. There was no clear century-scale trend in the number of major hurricanes. "The historical-modeling approach is applicable to any region with good historical records and will enable ecologists and land managers to incorporate insights on hurricane disturbance regimes into the interpretation and conservation of forests at landscape to regional scales."

In 2023, there were 78 named storms registered worldwide, down from 87 storms in the previous year. Overall, there was an average of 87 named tropical cyclones registered per year from 1980 to 2023. Japan was the country most exposed to this type of event worldwide.

What is a tropical cyclone?Tropical cyclones are intense rotating storms that form over warm tropical waters, characterized by heavy rain and strong winds. Once a cyclone sustains wind speeds exceeding 63 kilometers per hour, they are considered a tropical storm and receive a name. Named tropical storms can also receive further classification depending on their intensity and location (also known as basin). High-speed cyclones in the Northern Atlantic and Eastern Pacific basins are called hurricanes, while in the Western Pacific they are called typhoons. When the event takes place within the South Pacific and Indian Ocean, it is known as a cyclone.

Frequency of tropical cyclones worldwide

The Northwest Pacific basin is one of the most active for tropical cyclones worldwide. In 2023, there were 16 named storms reported in the region, of which more than half were classified as hurricanes. Meanwhile, the North Indian Ocean represented one of the least active basins for tropical cyclones, with an annual average of five named storms recorded from 1990 to 2023.

The 2024 Atlantic Hurricane Season was one of the most active and destructive seasons in history. These hurricanes not only caused severe physical damage but also sparked widespread discussion on social and news media platforms. Existing datasets for studying social impacts of hurricanes often focus on outdated hurricanes and are limited to a single social media platform, failing to capture the broader social impact in today's diverse social media environment. To address these gaps, we present a Multiplatform Annotated Dataset for Societal Impact of Hurricane MASH that includes 126,686 relevant social media data samples from Reddit, TikTok, X, and YouTube, as well as 171 news media articles from mainstream news media. A subset of 12,669 social media data samples are annotated on three dimensions: humanitarian classes, bias classes, and misinformation classes. The dataset is complemented by an online analytics platform that can not only view hurricane-related posts and articles but also explores high-frequent keywords and user sentiment. To our best knowledge, MASH is the first large-scale, multimodal, multi-platform, and multi-dimensionally annotated hurricane dataset. We envision that MASH can contribute to the study of hurricanes' impact on society, such as disaster severity classification, fake news detection, public sentiment analysis, and bias identification.

Historical HurricanesThis feature layer, utilizing data from the National Oceanic and Atmospheric Administration, displays global hurricanes from 1842-2024. According to NOAA, "a tropical cyclone is a rotating low-pressure weather system that has organized thunderstorms but no fronts (a boundary separating two air masses of different densities). Tropical cyclones with maximum sustained surface winds of less than 39 miles per hour (mph) are called tropical depressions. Those with maximum sustained winds of 39 mph or higher are called tropical storms. When a storm's maximum sustained winds reach 74 mph, it is called a hurricane."Hurricane Andrew (1992)Data currency: December 31, 2024Data source: International Best Track Archive for Climate Stewardship (IBTrACS)Data modification: Field added - Hurricane DateFor more information: International Best Track Archive for Climate Stewardship (IBTrACS)Support documentation: IBTrACS v04 column documentationFor feedback, please contact: ArcGIScomNationalMaps@esri.comNational Oceanic and Atmospheric Administration (NOAA)Per NOAA, its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."

Hurricane Screen Market Outlook

The global hurricane screen market size is projected to witness substantial growth, reaching an estimated value of USD 1.8 billion by 2032, up from USD 1.0 billion in 2023, representing a compound annual growth rate (CAGR) of 6.1%. This significant expansion is primarily driven by the increasing frequency of hurricanes and severe weather conditions, which necessitate the adoption of protective measures for residential, commercial, and industrial properties. The growing awareness and need for preventive solutions against property damage have been pivotal in propelling the market forward.

One of the primary growth factors in the hurricane screen market is the increasing occurrence and intensity of hurricanes worldwide due to climate change. This has heightened awareness about the importance of hurricane screens and other protective measures, encouraging property owners to invest in such defenses. With scientists predicting more severe and frequent storms in the coming years, both individuals and businesses are becoming more proactive in safeguarding their assets. This trend is bolstered by governmental campaigns and incentives aimed at disaster preparedness, which further drives the market demand for hurricane screens.

Technological advancements in materials and design are also fueling the market's growth. Manufacturers are consistently innovating to enhance the durability, efficiency, and aesthetic appeal of hurricane screens. The development of advanced materials such as high-strength aluminum alloys, impact-resistant fabrics, and corrosion-resistant coatings has significantly improved the performance and longevity of these products. Moreover, the integration of smart technologies that allow for automated deployment and monitoring is attracting tech-savvy consumers and expanding the market's scope. These innovations not only enhance protective capabilities but also increase user convenience, making hurricane screens more appealing to a broader audience.

The growing construction industry in hurricane-prone areas is another significant contributor to the hurricane screen market's expansion. As areas vulnerable to hurricanes continue to develop, there is a rising demand for effective protective solutions to safeguard new constructions. Builders and developers are increasingly incorporating hurricane screens into their architectural designs to meet safety standards and enhance building resilience. This trend is particularly prominent in coastal regions where construction activity is rapidly escalating, further driving the market growth for hurricane screens.

Regionally, North America dominates the hurricane screen market, attributed to the high incidence of hurricanes, particularly along the Gulf Coast and Atlantic seaboard. The region's well-established infrastructure and stringent building codes necessitate the adoption of hurricane-resistant solutions, further boosting market demand. However, emerging markets in the Asia-Pacific and Latin America are anticipated to exhibit the fastest growth rates. This is due to the increasing awareness of disaster preparedness and the rising investments in infrastructure development in these regions. Governments in these regions are also playing a critical role by implementing policies and regulations to ensure safer construction practices.

Product Type Analysis

The hurricane screen market can be segmented by product type into roll-down screens, accordion screens, Bahama screens, colonial screens, and others. Roll-down screens have emerged as a leading segment due to their convenience and ease of use. These screens can be quickly deployed in the event of an approaching storm and retracted when not in use, making them highly favored among homeowners and businesses alike. Additionally, the ability to provide a seamless integration with a building's design without compromising aesthetics makes roll-down screens a popular choice for many consumers. This segment is expected to continue its dominance, driven by ongoing innovations that enhance operational ease and durability.

Accordion screens constitute another significant product segment within the hurricane screen market. Known for their sturdy design and ease of deployment, accordion screens offer reliable protection against high winds and flying debris. They are particularly favored in commercial and industrial applications where robust protection is paramount. The ability to cover large openings and the convenience of not requiring additional storage space like roll-down screens contribute to their growing popularity. These

Hurricanes cause dramatic changes to forests by opening the canopy and depositing debris onto the forest floor. How invasive rodent populations respond to hurricanes is not well understood, but shifts in rodent abundance and foraging may result from scarce fruit and seed resources that follow hurricanes. We conducted studies in a wet tropical forest in Puerto Rico to better understand how experimental (Canopy Trimming Experiment) and natural (Hurricane Maria) hurricane effects alter populations of invasive rodents (Rattus rattus [rats] and Mus musculus [mice]) and their foraging behaviors. To monitor rodent populations, we used tracking tunnels (inked and baited cards inside tunnels enabling identification of animal visitors’ footprints) within experimental hurricane plots (arborist trimmed in 2014) and reference plots (closed canopy forest). To assess shifts in rodent foraging, we compared seed removal of two tree species (Guarea guidonia and Prestoea acuminata) between vertebrate-excluded and free-access treatments in the same experimental and reference plots, and did so 3 months before and 9 months after Hurricane Maria (2017). Trail cameras were used to identify animals responsible for seed removal. Rat incidences generated from tracking tunnel surveys indicated that rat populations were not significantly affected by experimental or natural hurricanes. Before Hurricane Maria there were no mice in the forest interior, yet mice were present in forest plots closest to the road after the hurricane, and their forest invasion coincided with increased grass cover resulting from open forest canopy. Seed removal of Guarea and Prestoea across all plots was rat dominated (75%-100% rat-removed) and was significantly less after than before Hurricane Maria. However, following Hurricane Maria, the experimental hurricane treatment plots of 2014 had 3.6 times greater seed removal by invasive rats than did the reference plots, which may have resulted from rats selecting post-hurricane forest patches with greater understory cover for foraging. Invasive rodents are resistant to hurricane disturbance in this forest. Predictions of increased hurricane frequency from expected climate change should result in forest with more frequent periods of grassy understories and mouse presence, as well as with heightened rat foraging for fruit and seed in pre-existing areas of disturbance.

Coastal flooding poses the greatest threat to human life and is often the most common source of damage from coastal storms. From 1980 to 2020, the top 6, and 17 of the top 25, costliest natural disasters in the U.S. were caused by coastal storms, most of these tropical systems. The Delaware and Chesapeake Bays, two of the largest and most densely populated estuaries in the U.S. located in the Mid-Atlantic coastal region, have been significantly impacted by strong tropical cyclones in recent decades, notably Hurricanes Isabel (2003), Irene (2011), and Sandy (2012). Current scenarios of future climate project an increase in major hurricanes and the continued rise of sea levels, amplifying coastal flooding threat. We look at all North Atlantic tropical cyclones (TC) in the International Best Track Archive for Climate Stewardship (IBTrACS) database that came within 750 km of the Delmarva Peninsula from 1980 to 2019. For each TC, skew surge and storm tide are computed at 12 NOAA tide gauges throughout the two bays. Spatial variability of the detrended and normalized skew surge is investigated through cross-correlations, regional storm rankings, and comparison to storm tracks. We find Hurricanes Sandy (2012) and Isabel (2003) had the largest surge impact on the Delaware and Chesapeake Bay, respectively. Surge response to TCs in upper and lower bay regions are more similar across bays than to the opposing region in their own bay. TCs that impacted lower bay more than upper bay regions tended to stay offshore east of Delmarva, whereas TCs that impacted upper bay regions tended to stay to the west of Delmarva. Although tropical cyclones are multi-hazard weather events, there continues to be a need to improve storm surge forecasting and implement strategies to minimize the damage of coastal flooding. Results from this analysis can provide insight on the potential regional impacts of coastal flooding from tropical cyclones in the Mid-Atlantic.

Hurricane Screen Market size was valued at USD 1.8 Billion in 2023 and is expected to reach USD 2.9 Billion by 2031 with a CAGR of 15.1% from 2024-2031.

Global Hurricane Screen Market Drivers

Increasing Frequency and Intensity of Hurricanes: Climate change is contributing to more frequent and severe weather events, including hurricanes. This drive for enhanced protection against extreme weather incidents creates a growing demand for hurricane screens.

Property Protection Needs: Homeowners and businesses in hurricane-prone areas are investing in protective products to safeguard their properties from storm damage. This heightened awareness leads to increased demand for hurricane screens.

Global Hurricane Screen Market Restraints

High Initial Costs: The installation of hurricane screens can be expensive, leading some consumers and businesses to forgo these protective measures, particularly in regions that may not experience hurricanes frequently.

Limited Awareness: In areas that are not regularly affected by hurricanes, there may be a lack of awareness regarding the benefits and availability of hurricane screens, limiting market growth.

Hurricane tracks and positions provide information on where the storm has been, where it is currently located, and where it is predicted to go. Each storm location is depicted by the sustained wind speed, according to the Saffir-Simpson Scale. It should be noted that the Saffir-Simpson Scale only applies to hurricanes in the Atlantic and Eastern Pacific basins, however all storms are still symbolized using that classification for consistency.Data SourceThis data is provided by NOAA National Hurricane Center (NHC) for the Central+East Pacific and Atlantic, and the Joint Typhoon Warning Center for the West+Central Pacific and Indian basins. For more disaster-related live feeds visit the Disaster Web Maps & Feeds ArcGIS Online Group.Sample DataSee Sample Layer Item for sample data during inactive Hurricane Season!Update FrequencyThe Aggregated Live Feeds methodology checks the Source for updates every 15 minutes. Tropical cyclones are normally issued every six hours at 5:00 AM EDT, 11:00 AM EDT, 5:00 PM EDT, and 11:00 PM EDT (or 4:00 AM EST, 10:00 AM EST, 4:00 PM EST, and 10:00 PM EST).Public advisories for Eastern Pacific tropical cyclones are normally issued every six hours at 2:00 AM PDT, 8:00 AM PDT, 2:00 PM PDT, and 8:00 PM PDT (or 1:00 AM PST, 7:00 AM PST, 1:00 PM PST, and 7:00 PM PST).Intermediate public advisories may be issued every 3 hours when coastal watches or warnings are in effect, and every 2 hours when coastal watches or warnings are in effect and land-based radars have identified a reliable storm center. Additionally, special public advisories may be issued at any time due to significant changes in warnings or in a cyclone. For the NHC data source you can subscribe to RSS Feeds.North Pacific and North Indian Ocean tropical cyclone warnings are updated every 6 hours, and South Indian and South Pacific Ocean tropical cyclone warnings are routinely updated every 12 hours. Times are set to Zulu/UTC.Scale/ResolutionThe horizontal accuracy of these datasets is not stated but it is important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center.Area CoveredWorldGlossaryForecast location: Represents the official NHC forecast locations for the center of a tropical cyclone. Forecast center positions are given for projections valid 12, 24, 36, 48, 72, 96, and 120 hours after the forecast's nominal initial time. Click here for more information.

Forecast points from the JTWC are valid 12, 24, 36, 48 and 72 hours after the forecast’s initial time.Forecast track: This product aids in the visualization of an NHC official track forecast, the forecast points are connected by a red line. The track lines are not a forecast product, as such, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. Click here for more information.The Cone of Uncertainty: Cyclone paths are hard to predict with absolute certainty, especially days in advance.

The cone represents the probable track of the center of a tropical cyclone and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is scaled so that two-thirds of the historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center. Click here for more information. Now includes 'Danger Area' Polygons from JTWC, detailing US Navy Ship Avoidance Area when Wind speeds exceed 34 Knots!Coastal Watch/Warning: Coastal areas are placed under watches and warnings depending on the proximity and intensity of the approaching storm.Tropical Storm Watch is issued when a tropical cyclone containing winds of 34 to 63 knots (39 to 73 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that tropical storm conditions will occur. It only means that these conditions are possible.Tropical Storm Warning is issued when sustained winds of 34 to 63 knots (39 to 73 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding.Hurricane Watch is issued when a tropical cyclone containing winds of 64 knots (74 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that hurricane conditions will occur. It only means that these conditions are possible.Hurricane Warning is issued when sustained winds of 64 knots (74 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. A hurricane warning can remain in effect when dangerously high water or a combination of dangerously high water and exceptionally high waves continue, even though winds may be less than hurricane force.RevisionsMar 13, 2025: Altered 'Forecast Error Cone' layer to include 'Danger Area' with updated symbology.Nov 20, 2023: Added Event Label to 'Forecast Position' layer, showing arrival time and wind speed localized to user's location.Mar 27, 2022: Added UID, Max_SS, Max_Wind, Max_Gust, and Max_Label fields to ForecastErrorCone layer.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

Hurricane Impact Window Market Outlook

As of 2023, the global hurricane impact window market size was valued at approximately USD 14.2 billion and is projected to reach around USD 23.5 billion by 2032, growing at a steady CAGR of 5.5% during the forecast period. The primary growth factor driving this market is the increasing frequency and severity of hurricanes and other natural calamities, compelling property owners to invest in more durable and resilient window solutions.

The growing awareness of climate change and the resulting intensification of natural disasters have significantly amplified the demand for hurricane impact windows. These windows are designed to withstand strong winds and flying debris, providing enhanced protection to properties in hurricane-prone regions. Additionally, the rising construction activities, particularly in coastal areas, have further fueled the market growth. Governments and regulatory bodies are also implementing stringent building codes and safety standards, mandating the use of hurricane impact windows in new constructions, which is another critical driver for market expansion.

Technological advancements in materials and manufacturing processes have led to the development of more robust and efficient hurricane impact windows. Innovations such as laminated glass and reinforced frames not only provide superior protection but also improve energy efficiency and noise reduction. This dual functionality is proving to be highly attractive to both residential and commercial end-users. Furthermore, the increasing disposable incomes and changing lifestyles are causing a shift towards premium and aesthetically pleasing window solutions, thereby positively influencing the market.

The sustained growth in urbanization and infrastructure development, particularly in emerging economies, is also a significant factor contributing to the market's expansion. Countries in the Asia Pacific and Latin America regions are experiencing rapid urban growth, leading to increased construction activities. The rising awareness about the importance of disaster preparedness and property protection is further propelling the demand for hurricane impact windows in these regions. Additionally, the integration of smart technologies and IoT in window solutions is opening new avenues for market players, making these products more appealing to tech-savvy consumers.

Geographically, North America holds the largest share of the hurricane impact window market due to the high frequency of hurricanes in the region, particularly in the United States. The stringent building codes and regulations, along with the high adoption rate of advanced building materials, are driving the market growth in this region. Europe and the Asia Pacific are also witnessing significant growth, largely driven by increasing construction activities and growing awareness about natural disaster preparedness. The Middle East & Africa and Latin America regions are expected to experience moderate growth, supported by improving economic conditions and infrastructural developments.

Product Type Analysis

The hurricane impact window market is segmented into various product types, including Single-Hung Windows, Double-Hung Windows, Sliding Windows, Casement Windows, Picture Windows, and Others. Single-hung windows are among the most commonly used types, primarily due to their affordability and simplicity. These windows feature a single operable sash, which makes them easy to install and maintain. They are particularly popular in residential constructions where budget constraints are a significant consideration.

Double-hung windows, on the other hand, offer more versatility and ventilation options. Both sashes in double-hung windows are operable, allowing for better airflow and easier cleaning. These windows are slightly more expensive than single-hung windows but provide better functionality and aesthetics, making them a preferred choice for high-end residential and commercial projects. The growing demand for energy-efficient and aesthetically pleasing windows is boosting the market for double-hung windows.

Sliding windows are gaining popularity due to their ease of operation and space-saving design. These windows slide horizontally, making them ideal for areas with limited space. They offer a modern look and are often used in contemporary architectural designs. The demand for sliding windows is increasing in both residential and commercial sectors, driven by the trend towards minimalist and modern design aesthetics.

The effects of climate change on tropical forests may have global consequences due to the forests’ high biodiversity and major role in the global carbon cycle. In this study, we document the effects of experimental warming on the abundance and composition of a tropical forest floor herbaceous plant community in the Luquillo Experimental Forest, Puerto Rico. This study was conducted within Tropical Responses to Altered Climate Experiment (TRACE) plots, which use infrared heaters under free-air, open-field conditions, to warm understory vegetation and soils +4 °C above nearby control plots. Hurricanes Irma and María damaged the heating infrastructure in the second year of warming, therefore, the study included one pre-treatment year, one year of warming, and one year of hurricane response with no warming. We measured percent leaf cover of individual herbaceous species, fern population dynamics, and species richness and diversity within three warmed and three control plots. Results showed that one year of experimental warming did not significantly affect the cover of individual herbaceous species, fern population dynamics, species richness, or species diversity. In contrast, herbaceous cover increased from 20% to 70%, bare ground decreased from 70% to 6%, and species composition shifted pre- to post-hurricane. The negligible effects of warming may have been due to the short duration of the warming treatment or an understory that is somewhat resistant to higher temperatures. Our results suggest that climate extremes that are predicted to increase with climate change, such as hurricanes and droughts, may cause more abrupt changes in tropical forest understories than longer-term sustained warming. The original dataset for this study is available at the Dryad Data Platform via the DOI link. It contains a file with percent cover of herbaceous cover, woody species, and bare ground (TRACE_dryad_data.xlsx), and a file with fern survey data (TRACE_dryad_fern_data.xlsx).