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Thundersnow

Thundersnow is a rare winter weather event in which a thunderstorm produces snow as its primary precipitation, featuring lightning, thunder, and heavy snowfall instead of rain.^[1] This phenomenon occurs when strong atmospheric instability and abundant moisture exist aloft, often above a warm front or in lake-effect snowbands near large bodies of water like the Great Lakes or Great Salt Lake, allowing convective updrafts to lift moist air into colder regions where snow forms.^[1]^[2] Thundersnow is less common than summer thunderstorms due to the typically stable cold air near the surface in winter, but it can generate intense snowfall rates of 2 to 4 inches per hour, leading to rapid accumulation, reduced visibility, and hazardous travel conditions.^[3]^[4] During these events, lightning may appear brighter at night due to reflection off snowflakes, while thunder sounds muffled and is audible only within about 2 to 3 miles of the strike because snow dampens the sound waves.^[5] In addition to the risks associated with heavy snow, such as road hazards from blowing and drifting snow, thundersnow poses lightning dangers, emphasizing the need for indoor shelter during these storms.^[4]

Physical Characteristics

Definition and Rarity

Thundersnow is a meteorological phenomenon characterized by a thunderstorm that produces snowfall as the primary precipitation, rather than rain, typically occurring within cumulonimbus clouds that generate thunder, lightning, and heavy snowflakes.^[6] This event combines the convective processes of a summer thunderstorm with winter conditions, where surface temperatures remain below freezing, ensuring that precipitation falls as snow instead of liquid water. The rarity of thundersnow stems from the specific atmospheric conditions required, making it an infrequent occurrence compared to typical thunderstorms or snowstorms. It is estimated to happen in only about 0.07% of reported snowfalls globally, as these events demand a rare alignment of cold surface air and sufficient upper-level warmth and moisture to fuel instability. This low frequency highlights why thundersnow is considered exceptional, often limited to brief episodes within larger winter storms. For thundersnow to form, key prerequisites include a vertical temperature profile featuring cold air near the surface (below 0°C) and warmer, moist air aloft, creating conditional instability that promotes strong updrafts.^[7] Lightning arises from charge separation, primarily involving collisions between ice crystals and rimed graupel particles in the mixed-phase region of the cloud, where lighter ice crystals acquire positive charge and rise, while heavier graupel gains negative charge and falls.^[8] Observations of thundersnow have been documented in scientific literature since the 19th century, with early records particularly noting occurrences in the Great Lakes region of North America during intense winter storms.^[9] These initial reports laid the groundwork for later meteorological studies, confirming the phenomenon's association with specific instability patterns.

Key Meteorological Features

Thundersnow events require substantial atmospheric instability to generate convective activity in cold environments, typically marked by lifted index (LI) values below -6°C, indicating strong potential for upward motion.^[10] Convective available potential energy (CAPE) is generally low in thundersnow environments, typically less than 100 J/kg, yet sufficient to support convective development.^[11] This instability arises primarily from cold air advection over relatively warm surfaces, such as lakes or unfrozen ground, which establishes steep lapse rates—rapid decreases in temperature with height—that promote vertical development.^[12] Charge separation in thundersnow is primarily driven by the non-inductive mechanism, where collisions between graupel (soft hail) and ice crystals occur within a mix of supercooled water droplets.^[13] During these interactions, electrons are transferred, with ice crystals typically gaining positive charge and graupel acquiring negative charge, leading to the buildup of electric fields sufficient for lightning discharge.^[14] This process is most efficient at temperatures around -15°C, where supercooled droplets enhance the charge transfer efficiency.^[14] The cloud structure associated with thundersnow consists of tall cumulonimbus clouds featuring anvil tops, formed by strong updrafts that spread out at the tropopause level.^[13] Unlike typical summer thunderstorms, the entire atmospheric column remains subfreezing, ensuring that precipitation manifests as snow rather than rain or hail at the surface.^[11] Reflectivity within these clouds often reaches 25-30 dBZ in the -10°C to -20°C layers, reflecting the presence of larger hydrometeors like graupel.^[13] Thunder during thundersnow is characteristically muffled, as falling snowflakes absorb sound waves effectively due to their porous, fluffy structure, limiting audibility to within a few kilometers.^[15] Visibility is further compromised by intense snowfall rates, which can reach 5-10 cm per hour, creating whiteout conditions and rapid ground accumulation.^[12]

Geographical Distribution

North America

Thundersnow events in North America are most prevalent in the Great Lakes region, particularly within the snowbelt areas downwind of the lakes, such as northern Michigan and western New York, extending into the broader Midwest and Northeast United States. These locations benefit from the proximity to large bodies of water that supply moisture and heat for convective activity during cold outbreaks. Occurrences are rarer in Canada's Prairie provinces and the Rocky Mountains, where topographic and synoptic conditions less frequently support the necessary instability for such events. In lake-effect zones around the Great Lakes, thundersnow typically manifests in 5-8 events per cool season (September through March), with the highest frequency from November to February when cold air masses interact with relatively warm lake surfaces. Across the contiguous United States, climatological analyses indicate an average of approximately 6-7 thundersnow events annually, based on three-hourly weather observations over nearly two decades (1982-1999). These patterns highlight the concentration of activity in the central and eastern regions, where lake-enhanced convection dominates.^[16]^[17] The climatology of thundersnow in North America is heavily influenced by the persistence of elevated water temperatures in the Great Lakes well into the winter months, which sustains moisture flux and vertical instability even as air temperatures drop. This often ties into lake-effect setups, where prolonged cold northerly flows over unfrozen waters can trigger multi-day outbreaks of convective snowbands, amplifying the potential for thunder. Such episodes are particularly notable in the snowbelts, where repeated lake-effect cycles can extend thundersnow activity over several consecutive days.^[16] Recent analyses up to 2023 reveal a slight increase in the frequency of lake-effect snowfall events, including those conducive to thundersnow, in the Great Lakes region since 2000. This trend is linked to variable and generally warmer lake surface temperatures, coupled with declining ice cover, which enhance atmospheric instability and moisture availability during winter.^[18] Thundersnow continued in the 2024-2025 winter, including lake-effect events in December 2024 near Buffalo, New York, and widespread occurrences in January 2025 across the Midwest and Northeast.^[19]^[20]

Europe and Asia

Thundersnow events in Europe are most prominent in mountainous and northern regions, particularly the Alps, Scandinavia, and the British Isles, where they arise during cold air outbreaks interacting with terrain or maritime influences. In the Alps, orographic enhancement lifts moist air to produce convective snow showers accompanied by thunder, with occurrences noted in high-elevation areas during winter storms. Scandinavia experiences thundersnow during intense cold snaps, often linked to polar air masses, while the UK and Ireland see it in northwest sectors during wintry showers from Atlantic fronts, such as events reported in Cornwall, South Wales, and Tayside in early 2015.^[5]^[21]^[22] Seasonality in Europe peaks from December to March, aligning with the coldest months when synoptic-scale cold intrusions favor instability in snow-bearing clouds. Overall frequency remains lower than in North America, attributed to fewer large, persistent warm water bodies like the Great Lakes that sustain prolonged lake-effect convection; European events are more sporadic and terrain-driven. The Alps experience 20-40 thunderstorm days annually overall, with winter activity, including thundersnow, being less frequent and more sporadic due to stable cold air masses. During the stormy 2020-2021 winter in northern Europe, lightning activity was notably higher, with 5-13 thunderstorm days per month in stormiest regions like the Baltic area and Sweden, including instances of thundersnow more frequent during evening and pre-dawn hours over land.^[23]^[24] In Asia, thundersnow is observed in northern and high-elevation zones, including Siberia, the Sea of Japan coast in Japan, and the Himalayas, influenced by the Siberian High's cold outflows and retreating monsoons. Siberian regions, particularly eastern Russia, report thundersnow features during winter, driven by continental cold air masses. Along Japan's Sea of Japan snowbands, lake-effect-like processes from the relatively warm sea generate heavy snowfall with embedded thunderstorms, contributing to significant winter events. The Himalayas host the majority of high-elevation thundersnow globally, with orographic lifting in peaks over 2 km promoting convective activity in snowstorms. Occurrences are rarer in southern Asia due to warmer temperatures limiting sustained cold convection.^[25] Asian seasonality centers on January to February, with some extension into late spring for Himalayan events, reflecting the peak of winter cold and moisture availability. Frequency is generally low but elevated in specific locales; over China, a 10-year study (2008-2017) identified thundersnow across much of the country, occurring mainly February-May and October-November, with higher rates at elevations above 2 km and events once every 10 years at low-altitude sites. These patterns underscore continental and orographic influences over maritime ones, contrasting with North America's lake-dominated regime.^[26]^[25]

Formation Mechanisms

Lake-Effect Processes

Lake-effect thundersnow arises when cold Arctic air, typically with temperatures below freezing, advects over relatively warm, unfrozen lakes such as the Great Lakes, where surface water temperatures exceed 4°C. This interaction transfers sensible and latent heat from the lake to the overlying air, causing rapid evaporation and the development of a moist, unstable boundary layer that drives intense convection. The process results in organized bands of heavy snowfall, where the added buoyancy allows cloud tops to reach heights sufficient for charge separation and electrical discharges, manifesting as thunder and lightning within the snowstorm.^[27]^[1]^[28] The buildup of instability is enhanced by the fetch length—the distance cold air travels across the open water—which must exceed 100 km to allow adequate time for heat and moisture accumulation, promoting convergence at the boundary layer top and the formation of mesoscale convective structures. In these events, snow-to-liquid ratios can reach up to 20:1, attributed to efficient riming of snowflakes in the presence of supercooled liquid water droplets lifted by the convection. Favorable wind speeds of 10-20 m/s, oriented perpendicular to the shoreline, optimize the fetch and maximize moisture flux into the atmosphere, intensifying the convective bands.^[16]^[29]^[30] Atmospheric profiles conducive to thundersnow show elevated temperatures and dewpoints in the lower troposphere compared to non-lightning lake-effect snowstorms, with significantly lower lifted indices indicating greater potential for deep convection. This instability often involves warming and moistening between the 850 mb and 500 mb levels, where temperatures around -8°C to -12°C at 850 mb provide just enough conditional instability when combined with lake-induced heating. Radar observations frequently reveal these events as linear, squall-like features, with narrow bands extending tens of kilometers inland, producing localized thundersnow lines downstream of the lakes.^[9]^[30]^[31]

Synoptic-Scale Forcing

Synoptic-scale forcing for thundersnow arises from large-scale atmospheric dynamics, particularly within intense extratropical cyclones that generate widespread ascent and instability conducive to convective activity during snowfall. These events typically occur in the comma head region of mature cyclones, where strong vertical motion is driven by upper-level divergence associated with a deep 500 mb trough and embedded jet streaks exceeding 50 m/s, promoting the release of latent heat and embedded convection that produces thunder. This setup often involves cold fronts advancing over warmer surfaces or air masses, enhancing conditional instability through contrasts in temperature and moisture, which builds upon sharp cold-warm boundaries to sustain upright development in otherwise stable winter atmospheres.^[11] A key feature amplifying this forcing is rapid cyclogenesis, commonly termed "bomb" cyclones, where the surface low-pressure center deepens by at least 24 mb over 24 hours (or 1 mb per hour), adjusted for latitude, leading to intensified lift and heavier precipitation bands.^[32] Such explosive development provides the dynamic forcing for uniform, synoptic-scale snow distributions rather than localized bands, with thunder resulting from charge separation in the convective elements embedded within the broader storm structure. In the central United States, these conditions frequently manifest north of a surface warm front and above the warm frontal inversion, contributing to mesoscale enhancements in snowfall rates. Regionally, thundersnow under synoptic forcing is prevalent in the Midwest U.S., where continental cyclones interact with ample moisture from upstream sources, and along the U.S. East Coast during nor'easters, which often exhibit bomb-like intensification and deliver widespread heavy snow across the Northeast. These events differ from more localized convective modes by producing broader, more consistent snow accumulations, with thunder activity concentrated in areas of heightened instability within the cyclone's core, often yielding rates exceeding 2.5 cm per hour in affected zones.

Orographic Enhancement

Orographic enhancement refers to the process by which elevated terrain forces the ascent of moist air, promoting the development of thundersnow through adiabatic cooling and the release of latent instability. In winter storms, low-level moist air encountering mountain barriers, such as the Rocky Mountains or Sierra Nevada, rises along windward slopes, leading to supersaturation, cloud formation, and convective overturning within otherwise stable atmospheric layers. This mechanism differs from broader synoptic forcing by emphasizing terrain-induced vertical motion as the primary lift, often resulting in localized, intense snowfall bands accompanied by thunder.^[33] Favorable conditions for orographic thundersnow include persistent upslope flow with sufficient low-level moisture and moderate to strong winds directed toward the terrain, typically perpendicular to the mountain crest to maximize lift. These events are most common during winter when cold air masses interact with topography, allowing forced convection to penetrate stable layers and generate electrical activity despite subfreezing temperatures. Orographic lift can amplify precipitation rates on windward slopes, concentrating snow accumulation in narrow bands where instability is released.^[33] Cloud development in orographic thundersnow begins with the formation of stratiform clouds over the terrain, which are then destabilized by ongoing uplift, evolving into cumulonimbus or multicell structures capable of producing lightning. This forced convection sustains charge separation within ice particles and supercooled droplets, enabling thunder even in snowy conditions, and is particularly evident on windward slopes during storms with directional wind shear. The resulting thundersnow is often short-lived and isolated, contrasting with more widespread convective activity.^[33] In North America, orographic thundersnow is prevalent in the western United States, with a climatological maximum in Utah and Nevada, where approximately 30 events were documented over 1961–1990, averaging one per year.^[34] Notable examples include four thundersnow storms in northern Colorado during the 2012/13 winter, driven by upslope flow over the Rocky Mountains, which produced heavy snow and frequent lightning.^[35] Similarly, on February 14, 2019, strong orographic convection over the Sierra Nevada generated nearly 1,000 lightning strikes amid intense snowfall, highlighting the role of terrain in amplifying winter thunderstorms.^[36] More recently, in September 2025, thundersnow affected areas from Winter Park to Leadville in Colorado's Rocky Mountains.^[37]

Associated Hazards

Intense Snowfall and Accumulations

Thundersnow events are characterized by exceptionally high snowfall intensities due to the convective nature of the storms, which efficiently transport and deposit moisture aloft. Snowfall rates during these occurrences can reach 5 to 10 centimeters (2 to 4 inches) per hour, driven by strong updrafts that enhance precipitation efficiency compared to typical snowstorms.^[38]^[39] This intensity arises from the instability that fuels thunderstorm activity within the winter environment, allowing for rapid accumulation that standard snow events rarely match. Such elevated rates often result in substantial snow accumulations over short periods, with 30 centimeters (12 inches) or more possible in just a few hours in affected areas. For instance, during a 2006 thundersnow event in Buffalo, New York, 30 centimeters accumulated within six hours, overwhelming local infrastructure.^[12] These rapid buildups stem from the convective mechanisms that concentrate precipitation in narrow bands, leading to localized heavy deposits. The primary impacts of intense thundersnow snowfall include severe reductions in visibility, often creating whiteout conditions where sightlines drop below 100 meters due to the dense, blowing snow.^[40] This drastically impairs travel, prompting widespread road closures and contributing to multi-vehicle accidents on major highways; a 2013 thundersnow storm in the U.S. Midwest, for example, led to fatal crashes on interstates amid slick, snow-covered surfaces.^[41] Secondary effects exacerbate the hazards, as the quick onset of heavy, wet snow loads structures and utilities. Rapid accumulations have caused roof collapses in regions unaccustomed to such sudden weights, with incidents reported during intense winter storms featuring thundersnow.^[42] Additionally, the dense, moist snow clings to power lines and trees, resulting in widespread outages; a 2024 thundersnow event near Chicago downed branches and disrupted electricity for thousands.^[43]

Lightning, Winds, and Other Risks

Thundersnow events present unique hazards beyond heavy precipitation, primarily through electrical discharges and dynamic wind phenomena that can catch people off guard due to the rarity of winter thunderstorms. Lightning during thundersnow can strike the ground even amidst falling snow, posing risks to individuals outdoors and indoors if structures are hit, as the electrical discharge follows the path of least resistance through conductive pathways like plumbing or wiring.^[2] In these storms, cloud-to-ground (CG) flashes constitute approximately 24% of total lightning activity during the cold season, with intracloud flashes dominating the rest, though positive CG strikes—known for greater destructive potential—account for about 20.7% of CG events.^[25]^[26] Snow's potential conductivity, especially when wet, can exacerbate indoor risks, as strikes may travel through building materials. The infrequency of thundersnow contributes to fewer specific lightning warnings being issued compared to summer thunderstorms, increasing the surprise factor and potential for injuries; for instance, very few U.S. lightning deaths occur in December through February, representing less than 1% based on historical data.^[9] Documented injuries from winter lightning are rare but severe, with reports of cardiac arrest, burns, and neurological damage similar to summer strikes, though the cold environment compounds complications like shock. The Centers for Disease Control and Prevention notes that lightning causes approximately 20 to 30 deaths and hundreds of injuries annually in the U.S. as of 2024, with roughly one-third occurring indoors, a statistic applicable to thundersnow where people may seek shelter without recognizing the electrical threat. Lightning fatalities in the U.S. have declined from historical averages of around 40 per year to about 20-30 annually as of 2024, thanks to improved safety measures.^[44]^[45] Wind hazards in thundersnow arise from downdrafts and microbursts, which can generate gusts up to 50 mph (80 km/h), leading to structural damage, fallen trees, and power outages.^[46] These intense, localized winds, akin to those in summer thunderstorms, pose significant risks to aviation, where sudden shear can endanger low-flying aircraft, and to ground travel by reducing visibility and causing debris hazards.^[12] Additional risks include the occasional mixing of graupel—soft, rimed snow pellets resembling small hail—with snowfall, formed when supercooled droplets freeze onto snow crystals in the convective updrafts of thundersnow.^[47] While graupel is less damaging than true hail due to its fragility, it can create slippery surfaces and, in mountainous areas, contribute to avalanche triggers by forming weak layers in the snowpack.^[48] Thundersnow's association with moist air often results in wetter snow than typical winter storms, accelerating hypothermia risk for exposed individuals, as wet clothing loses insulation and promotes rapid heat loss even at temperatures above freezing.^[49] Furthermore, CG strikes in the dry, cold air of winter can ignite fires in vegetation or structures, with potential for rapid spread due to low humidity, though such incidents remain uncommon.^[50]

Observation and Impacts

Detection and Forecasting

Detection of thundersnow events primarily relies on integrated observations from radar, satellite, and lightning detection networks to identify convective activity during snowfall. Radar systems detect characteristic signatures such as elevated vertically integrated liquid (VIL) density values, indicating strong updrafts within snow-bearing clouds, which help distinguish thundersnow from non-convective snow.^[51] Satellite infrared imagery reveals overshooting tops as cold anomalies in cloud-top temperatures, signaling intense convection even in winter conditions.^[52] Ground-based lightning networks like the National Lightning Detection Network (NLDN) capture cloud-to-ground flashes during snow, confirming electrification, while the Geostationary Lightning Mapper (GLM) on GOES satellites provides total lightning data, including jumps in flash rates that precede intensification.^[25]^[53] A dedicated thundersnow detection algorithm combining GLM flash rates with multi-sensor snowfall rates achieves a probability of detection around 67%.^[53] Forecasting thundersnow involves high-resolution numerical models like the Weather Research and Forecasting (WRF) model, configured with advanced microphysics schemes such as Thompson or WRF single-moment 6-class (WSM6) to simulate snow production and charge separation in cold environments.^[54] These schemes capture hydrometeor interactions essential for winter convection, though challenges persist in resolving low-level instability within cold sectors, where shallow boundary layers and weak updrafts are often underrepresented due to model grid limitations and parameterization biases.^[55] Elevated convection in these sectors requires fine-scale resolution (e.g., 1-3 km grids) to accurately predict lightning potential amid falling snow.^[55] Warning systems for thundersnow are integrated into broader winter storm alerts by the National Weather Service (NWS), with criteria focusing on convective indices like CAPE exceeding 250 J/kg combined with ongoing precipitation to signal potential electrification in snow events.^[56] Under-forecasting remains common due to model biases in simulating wintertime convection, where low CAPE values (typically 100-500 J/kg) and stable surface layers mask the risk of sudden lightning bursts.^[57] Alerts emphasize rapid onset hazards, drawing on real-time lightning data to refine winter storm warnings. Post-2020 advances in artificial intelligence have enhanced nowcasting of thunderstorms by integrating multi-source data for short-term predictions, with tools like ThunderCast providing lead times of up to 60 minutes for convective initiation through deep learning on radar and lightning patterns.^[58] These AI models improve detection of subtle instability signals in cold-season forecasts.

Historical Events and Climate Trends

One of the most notable thundersnow events in North American history occurred during the November 2014 lake-effect snowstorm in Buffalo, New York, where intense snowfall rates reached up to 3 feet (about 1 meter) in 24 hours in some areas, accompanied by thunder and lightning, leading to total accumulations exceeding 7 feet (2.1 meters) in parts of Erie County over several days.^[59] This event paralyzed transportation, caused 13 deaths, and required emergency snowmobile rescues, highlighting the hazards of rapid thundersnow accumulation.^[60] In Europe, a significant thundersnow outbreak struck Central Europe on January 17, 2022, as a strong squall line moved across Poland and surrounding regions, producing widespread lightning and heavy snow that disrupted power and travel.^[61] Climate change is influencing thundersnow through warmer regional air temperatures, which have risen by about 2.9°F (1.6°C) since 1951, enhancing evaporation and energy input for lake-effect storms by up to 20% as noted in assessments aligned with IPCC AR6 findings on regional warming.^[62] This warming, coupled with reduced ice cover—projected to drop to 3-15% by century's end—has likely increased the intensity of lake-effect snow events, including those with convective elements like thundersnow.^[63] Arctic amplification further drives more frequent synoptic-scale extremes in mid-latitudes, potentially elevating thundersnow occurrences by fostering unstable winter atmospheres.^[64] Observational studies indicate a rise in winter thunderstorm frequency across North American mid-latitudes since the late 20th century, with one analysis linking this to broader convective trends amid global warming, though global monitoring gaps persist due to thundersnow's rarity (less than 0.07% of snow events).^[65] A 2024 study on graupel formation, a key thundersnow precursor, reported a 7.1% global increase in lightning rates since pre-industrial times, attributed to warmer conditions.^[66] In January 2025, thundersnow accompanied a major blizzard across the Midwest and East Coast of the United States, contributing to heavy snowfall, power outages, and hazardous conditions.^[67] Projections for mid-latitudes by 2050 anticipate higher thundersnow risks from intensified lake-effect processes and extreme precipitation, with implications for urban areas like Buffalo requiring enhanced preparedness for heavier, more convective snowfalls.^[68] These trends underscore the need for improved monitoring to address gaps in global thundersnow documentation.^[65]

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This paper presents a new objective infrared-only satellite OT detection method called infrared window (IRW)-texture.Missing: thundersnow | Show results with:thundersnow
[44]
Geostationary Lightning Mapper Flash Characteristics of Electrified ...
A thundersnow detection algorithm (TDA) was derived from the GLM and mSFR which resulted in a probability of detection (POD) of 66.7% when compared to the ...Missing: radar signatures VIL jumps<|separator|>
[45]
[PDF] Sensitivities of the WRF Lightning Forecasting Algorithm to ...
Aug 21, 2020 · thundersnow event. Reassessment of the cool-season contingency table using this higher threshold showed that the number of false alarm cases ...
[46]
Characteristics of Elevated Thunderstorms on the Cold Side of ...
This paper presents the first comprehensive analysis of elevated thunderstorms on the cold side of fronts (ETCFs) in China.
[47]
Severe Weather Topics
In general, CAPE values of less than 1000J/kg represent weak instability, 1000 to 2500J/kg moderate instability, 2500-4000J/kg strong instability, and greater ...
[48]
Winter Weather Warnings, Watches and Advisories
Lake Effect Snow Advisory are issued for widespread or localized lake effect snowfall accumulation (and blowing snow) remaining below warning criteria.Missing: CAPE | Show results with:CAPE
[49]
The Development and Initial Capabilities of ThunderCast, a Deep ...
The Thunderstorm Nowcasting Tool, or ThunderCast, was developed for predicting thunderstorm occurrence for both developing and existing storms in the next 0 ...Missing: enhancements thundersnow post-
[50]
AI-Powered Nowcasting is a game changer for weather prediction ...
Oct 3, 2025 · Artificial intelligence has the potential to improve the accuracy of nowcasting – forecasts from minutes to hours ahead – thus helping to ...Missing: post- 2020
[51]
A look back on Buffalo's historic 2014 'Snowvember' storms that left ...
Nov 17, 2022 · Heavy snow continued inside the band for all of Tuesday, with 35-mph wind near Buffalo and snow totals reaching 4-5 feet by the end of the day.Missing: details | Show results with:details
[52]
Four Killed As 'Thunder Snow' Slams New York | 5newsonline.com
Nov 18, 2014 · The snow left people stranded in cars, turned roadways into parking lots and forced some emergency responders to rely on snowmobiles provided by ...Missing: details | Show results with:details
[53]
Thundersnow Facts for Kids
Oct 17, 2025 · Thundersnow can bring very heavy snowfall, often 5 to 10 cm (2 to 4 in) per hour. This much snow can quickly make it hard to see, even without ...<|separator|>
[54]
Thunder, Lightning and... Snow - Scientific American
Dec 27, 2010 · Thunder and lightning during a snowstorm is different from a run-of-the-mill snowstorm; it is extremely rare—fewer than 1 percent of observed ...Missing: events | Show results with:events
[55]
Update to Scientific Report Finds Climate Change Threatens Great ...
Jul 16, 2025 · “The scientists' report explains how more extreme weather impacts Great Lakes water levels and shoreline infrastructure, harms ecological health ...
[56]
How warm winters and low ice may impact the Great Lakes - Climate
Mar 18, 2024 · There has been an increased frequency of low ice years across the Great Lakes tied to generally warmer winter conditions across the region, ...
[57]
Lake-effect Snow in the Great Lakes Region - GLISA
Warmer Great Lakes surface water temperatures and declining Great Lakes ice cover have likely driven the observed increases in lake-effect snow. As global ...Missing: IPCC AR6
[58]
(PDF) An overview of thundersnow - ResearchGate
Aug 7, 2025 · ... Thundersnow (TSSN) is an atmospheric event characterized by lightning and thunder that can lead to intense snowfall (Xu et al. 2022;Yavuz et ...<|control11|><|separator|>
[59]
Significant increase in graupel and lightning occurrence in a warmer ...
Feb 16, 2024 · The global mean lightning rate increased by 7.1% from the pre-industrial period to the present day, which was attributed to increased graupel occurrence.Results · Change In Seasonal Variation... · Miroc6 With Chimerra...
[60]
Warming Great Lakes could lead to stronger snow storms, climate ...
Jan 3, 2025 · Richard Rood, a climate scientist who studies the Great Lakes, says lake-effect snowstorms will likely intensify as the planet warms.Missing: IPCC | Show results with:IPCC