A database of verified tornado tracks across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.
Detailed information, maps, and pictures from significant Arkansas tornadoes and tornado outbreaks utilizing the Damage Assessment Toolkit (DAT) database are provided here. Scroll down to view all tornado events or use the navigation above to jump to a particular tornado event. Note that this is NOT a comprehensive database of all Arkansas tornado events, but serves to highlight the significant events in recorded history, by not just the North Little Rock Forecast Office, but all NWS Offices who serve portions of the state of Arkansas, including NWS Tulsa, NWS Memphis, NWS Shreveport, and NWS Jackson.This database documents several Arkansas significant events within the DAT database, but not all events are represented. Map features including damage points, tracks, and swaths are interactive, and can be clicked within the map to see details, including damage pictures for some locations.
This is a database of tornadoes that have affected the Huntsville Forecast area this year. National Weather Service Storm Survey information regarding the tornadoes that occurred so far in 2021 within the NWS Huntsville County Warning Area (CWA). Included are storm survey damage points with pictures where available, tornado damage paths, and estimated damage swath information where applicable.
Tornado TracksThis feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays tornadoes in the United States, Puerto Rico and U.S. Virgin Islands between 1950 and 2024. A tornado track shows the route of a tornado. Per NOAA, "A tornado is a narrow, violently rotating column of air that extends from a thunderstorm to the ground. Because wind is invisible, it is hard to see a tornado unless it forms a condensation funnel made up of water droplets, dust and debris. Tornadoes can be among the most violent phenomena of all atmospheric storms we experience. The most destructive tornadoes occur from supercells, which are rotating thunderstorms with a well-defined radar circulation called a mesocyclone. (Supercells can also produce damaging hail, severe non-tornadic winds, frequent lightning, and flash floods.)"EF-5 Tornado Track (May 3, 1999) near Oklahoma City, OklahomaData currency: December 30, 2024Data source: Storm Prediction CenterData modifications: Added field "Date_Calc"For more information: Severe Weather 101 - Tornadoes; NSSL Research: TornadoesSupport documentation: SPC Tornado, Hail, and Wind Database Format SpecificationFor feedback, please contact: ArcGIScomNationalMaps@esri.comNational Oceanic and Atmospheric AdministrationPer 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."
The data comes from NOAA's National Weather Service Storm Prediction Center Severe Weather Maps, Graphics, and Data Page
tornados.csv
variable | class | description |
---|---|---|
om | integer | Tornado number. Effectively an ID for this tornado in this year. |
yr | integer | Year, 1950-2022. |
mo | integer | Month, 1-12. |
dy | integer | Day of the month, 1-31. |
date | date | Date. |
time | time | Time. |
tz | character | Canonical tz database timezone. |
datetime_utc | datetime | Date and time normalized to UTC. |
st | character | Two-letter postal abbreviation for the state (DC = Washington, DC; PR = Puerto Rico; VI = Virgin Islands). |
stf | integer | State FIPS (Federal Information Processing Standards) number. |
mag | integer | Magnitude on the F scale (EF beginning in 2007). Some of these values are estimated (see fc). |
inj | integer | Number of injuries. When summing for state totals, use sn == 1 (see below). |
fat | integer | Number of fatalities. When summing for state totals, use sn == 1 (see below). |
loss | double | Estimated property loss information in dollars. Prior to 1996, values were grouped into ranges. The reported number for such years is the maximum of its range. |
slat | double | Starting latitude in decimal degrees. |
slon | double | Starting longitude in decimal degrees. |
elat | double | Ending latitude in decimal degrees. |
elon | double | Ending longitude in decimal degrees. |
len | double | Length in miles. |
wid | double | Width in yards. |
ns | integer | Number of states affected by this tornado. 1, 2, or 3. |
sn | integer | State number for this row. 1 means the row contains the entire track information for this state, 0 means there is at least one more entry for this state for this tornado (om + yr). |
f1 | integer | FIPS code for the 1st county. |
f2 | integer | FIPS code for the 2nd county. |
f3 | integer | FIPS code for the 3rd county. |
f4 | integer | FIPS code for the 4th county. |
fc | logical | Was the mag column estimated? |
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We provide a dataset of tornadoes and waterspouts in Chile from 1554 to present based in chronicles, newspaper articles, social media, scientific literature and books. The database includes only those events that have been qualified as more than likely a tornado or waterspout based on a subjective qualification by the researchers. For each tornado we provide at least one geographical location point, the local and UTC hour (if known) and for most cases an estimation of the intensity based on the Enhanced Fujita damage scale.The following are the parameters contained in the database:N°: This is the entry number or identifier for each record in the file.Location: The name of the place where the weather event occurred.Latitude: The geographical latitude coordinate of the event's location.Longitude: The geographical longitude coordinate of the event's location.Date (Gregorian Calendar): The date when the event occurred, according to the Gregorian calendar.Hour (local): The local time when the event occurred.Hour (UTC): The time of the event in Coordinated Universal Time (UTC).Sound: A binary indicator (usually 1 for 'Yes' and 0 for 'No') showing whether there was a notable sound associated with the event.Hail: A binary indicator showing whether hail was a feature of the weather event.Electric Storm: A binary indicator showing whether the event involved an electric storm.Damage: A binary indicator showing whether there was any damage resulting from the event.Tornado: A binary indicator showing whether a tornado was a part of the event.Waterspout: A binary indicator showing whether a waterspout was observed during the event.Register: This column refers to the existence of some witness account or visual material of a rotating column.Max. EF Rating: The maximum Enhanced Fujita Scale rating assigned to the tornado, indicating its intensity.Analyst: The name or initials of the person who analyzed or reported the event.Fatalities: The number of fatalities (deaths) caused by the event.Injured: The number of injuries reported due to the event.Link to Documents: References or links to documents where the event is described or recorded.Sources: The sources or references from where the information about the event is derived.Comments: Additional remarks or notes about the event, providing context or extra details.
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This tornado databse includes the tornado information in contiguous China from 2007 to 2016. These data were obtained from various sources with cross checking: the Yearbook of Meteorological Disasters in China (China Meteorological Administration, 2005–2017), the tornado dataset in contiguous China during the period 1948–2012 compiled by Chen et al. (2018), almost all the published papers on tornadoes in China, the damage surveys conducted by local meteorological agencies and the reports archived through web searches. With the availability of widely-covering China New Generation Weather Radar network after 2006, we performed quality control on tornado records by reviewing the national and regional radar reflectivity mosaic images, and some tornado records that were not associated with a convective storm were removed. In the high-incidence area of tornadoes (e.g., Jiangsu Province), the reported locations and times of most tornado reports in JS were further manually verified and corrected, based on the track of parent storms and the cyclonic rotational signature at the lowest two levels in the radial velocity field from the available Doppler radar base data.
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According to the textual information provided by the Yearbook of Meteorological Disasters in China from 2003 to 2019 and other public media report data, tornadoes occurring in China mainland from 2003 to 2019 were collected in this dataset, which includes tornado occurrence time, geographical location in terms of longitude and latitude, geographical locations and damage descriptions of tornadoes from the Yearbook of Meteorological Disasters in China and intensities of tornadoes in terms of EF scale. The temporal extent of tornadoes in the dataset is from the period of 2003 to 2019. The spatial extent of tornadoes in the dataset is China mainland. The database help to get a more detailed insight into tornado climatology and provides a forward step towards the rational assessment of tornado-induced disasters in China mainland.
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This data set contains the number of confirmed tornadoes for each state for each year and their responding affects.
Current table includes number of confirmed tornadoes in each state for each year from 1951 to 2019. Future datasets will be related to Fujita/Enhanced Fujita rank, total damage (reported and inflation corrected), and fatalities/injuries. Data is from National Centers for Environmental Information's Storm Events Database.
I am curious about the trend of sever weather occurring in the United States over time. This started with tornadic events but will evolve to severe thunderstorm and hail events as well.
A database of verified tornado occurrences across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.
Storm Data is provided by the National Weather Service (NWS) and contain statistics on personal injuries and damage estimates. Storm Data covers the United States of America. The data began as early as 1950 through to the present, updated monthly with up to a 120 day delay possible. NCDC Storm Event database allows users to find various types of storms recorded by county, or use other selection criteria as desired. The data contain a chronological listing, by state, of hurricanes, tornadoes, thunderstorms, hail, floods, drought conditions, lightning, high winds, snow, temperature extremes and other weather phenomena.
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This dataset corresponds to reports of tornadoes that happened in Southeast South America (SESA) between 1991 and 2020. It was constructed and used for studying tornadic environments in SESA, work that was recently published in the American Meteorological Society (AMS) journal Monthly Weather Review under the title: "Tornadoes in Southeast South America: Mesoscale to Planetary-scale Environments". A PDF containing this article was included with the last update of this publication (January 2024). Additionally, a datasheet explaining everything you need to know about the database of tornadoes in Southeast South America was included in this new version (January 2024).
A database of verified tornado occurrences across Canada has been created covering the 30-year period from 1980 to 2009. The data are stored in a Microsoft Excel spreadsheet, including fields for date, time, location, Fujita Rating (intensity), path information, fatalities, injuries, and damage costs. In cases where no data were available, values in the database have been left blank. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The database has also been used to produce PNG images and an interactive KML file that can be viewed using Google Earth.
This is a database of tornadoes that have affected the Huntsville Forecast area this year. National Weather Service Storm Survey information regarding the tornadoes that occurred so far in 2024 within the NWS Huntsville County Warning Area (CWA). Included are storm survey damage points with pictures where available, tornado damage paths, and estimated damage swath information where applicable. ALL DATA SHOULD BE CONSIDERED PRELIMINARY.
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A database of verified tornado occurrences across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.For more information visit Canadian National Tornado Database: Verified Events (1980-2009) Thumbnail: The Elie F5 Tornado, taken by Portager Violet Enns in 2007Base de données nationale sur les tornades du Canada : Événements vérifiés (1980-2009)Une base de données sur les tornades vérifiées dans l’ensemble du Canada a été créée afin de couvrir une période de 30 ans, de 1980 à 2009. Les données sur les tornades ont subi un certain nombre de vérifications à des fins de contrôle de la qualité et représentent les plus récentes connaissances sur les tornades qui ont eu lieu au cours de cette période. Cependant, des mises à jour peuvent être effectuées dans la base de données à mesure que des renseignements nouveaux ou plus à jour sont disponibles. Les données ont été converties dans un fichier de cartographie géoréférencé qui peut être consulté et manipulé au moyen d’un logiciel de système d’information géographique (SIG).
Currently filtered for Storm Date is after 12/1/2023Purpose: This is a feature layer of tornado swaths for the NWS Damage Assessment Toolkit.The National Weather Service (NWS) Damage Assessment Toolkit (DAT) has been utilized experimentally since 2009 to assess damage following tornadoes and convective wind events. The DAT is a GIS-based framework for collecting, storing, and analyzing damage survey data, utilizing the Enhanced Fujita (EF) scale for the classification of damage. Data collected from individual locations via mobile device are transmitted to a central geospatial database where they are quality controlled and analyzed to assign the official EF rating. In addition to the individual point, the data are analyzed to generate track centerlines and damage swaths. High resolution satellite imagery and radar data, through partnership with the NASA Short-term Prediction Research and Transition Center, are also available to aid in the analysis. The subsequent dataset is then made available through a web-based graphical interface and GIS services.Here is the full REST service: https://services.dat.noaa.gov/arcgis/rest/services/nws_damageassessmenttoolkitGeoplatform website: https://communities.geoplatform.gov/disasters/noaa-damage-assessment-toolkit-dat/More InformationWelcome to the National Weather Service Damage Assessment Toolkit. Data on this interface is collected during NWS Post-Event Damage Assessments. While the data has been quality controlled, it is still considered preliminary. Official statistics for severe weather events can be found in the Storm Data publication, available from the National Centers for Environmental Information (NCEI) at: https://www.ncdc.noaa.gov/IPS/sd/sd.html Questions regarding this data can be addressed to: parks.camp@noaa.gov.
A map used in the Hazard Risk Assessment Maps app and the Hazard Explorer app to visualize tornado and strong wind hazards.Several layers from the Living Atlas are included in the map by default: the National Risk Index symbolized by Tornado – Hazard Type Risk Index Rating, Tornado Tracks (filtered from 2014 on), and Windstorm Paths in the U.S (filtered from 2014 on). Enable visibility for the most appropriate layers. Use this map to understand tornado and strong wind hazards in your community.If you would like to use additional data to visualize the tornado and strong wind risk assessment, examples would include locations of storm shelters or safe room sites, wind speed maps, building windspeed susceptibility studies, and historical data from the NOAA/NWS Storm Prediction Center Tornado database.
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These data include all tropical cyclone tornado reports used in Paredes et al. (2021) plus an additional year (e.g., 2020). These data will not be updated regularly. For the latest version, users should refer to https://www.spc.noaa.gov/misc/edwards/TCTOR/ or contact roger.edwards@noaa.gov.
Each specific tropical cyclone tornado record has been extracted from the broader Storm Prediction Center tornado database, for all Atlantic and Gulf of Mexico tropical cyclones to affect the continental United States from 1995–2020. The tornado records were analyzed individually to determine their presence within the circulation envelope of either a classified or remnant tropical cyclone, without regard to fixed radii from tropical cyclone center, inland extent, temporal cutoffs before or after landfall, or other such arbitrary thresholds that may either exclude tropical cyclone events or include non-tropical cyclone tornadoes unnecessarily. Unlike other climatologies previously published in the literature, the chosen time period for this examination essentially covers only the full national deployment of the WSR-88D radar network in the United States. This permits consistent comparisons of a very large sample size of tropical cyclone tornado events (>1600) during the era of modernized National Weather Service warning and verification practices.
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The National Weather Service (NWS) Storm Prediction Center (SPC) routinely collects reports of severe weather and compiles them with public access from the database called SeverePlot (Hart and Janish 1999) with a Geographic Information System (GIS). The composite SVRGIS information is made available to the public primarily in .zip files of approximately 50MB size. The files located at the access point contain composite track information regarding tornados, large hail, and damaging winds for the period 1950-2006. Although available to all, the data provided may be of particular value to weather professionals and students of meteorological sciences. An instructional manual is provided on how to build and develop a basic severe weather report GIS database in ArcGis and is located at the technical documentation site contained in this metadata catalog.
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These data include all tropical cyclone tornado reports from 2013–2020, as part of all data from 1995–2022, included in the Storm Prediction Center (SPC) Tropical Cyclone TORnado database (TCTOR; Edwards and Mosier, 2022) used in the following publication:
Schenkel, B., K. Calhoun, T. Sandmael, M. Ake, Z. Fruits, B. Kassel, and I. Schick, 2023: Lightning and radar characteristics of tornadic cells in landfalling tropical cyclones. J. Geophys. Res.: Atmospheres, accepted.
Each specific tropical cyclone tornado record has been extracted from the broader SPC tornado database, for all Atlantic and Gulf of Mexico tropical cyclones impacting the continental United States from 1995–2022. The tornado records were analyzed individually to determine their presence within the circulation envelope of either a classified or remnant tropical cyclone, without regard to fixed radii from tropical cyclone center, inland extent, temporal cutoffs before or after landfall, or other such arbitrary thresholds that may either exclude tropical cyclone events or include non-tropical cyclone tornadoes unnecessarily. These data will not be updated regularly.
Citation for SPC TCTOR dataset: Edwards, R., & Mosier, R. M. (2022). Over a quarter century of TCTOR: Tropical cyclone tornadoes in the WSR-88D era [Dataset]. In Proc., 30th conf. on severe local storms (p. 171). Santa Fe, NM.
A database of verified tornado tracks across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.