The International Fujita scale (abbreviated as IF-Scale) rates the intensity of tornadoes and other wind events based on the severity of the damage they cause.[1] It is used by the European Severe Storms Laboratory (ESSL) and various other organizations including Deutscher Wetterdienst (DWD) and State Meteorological Agency (AEMET). The scale is intended to be analogous to the Fujita and Enhanced Fujita scales, while being more applicable internationally by accounting for factors such as differences in building codes.
In 2018, the first draft version of the IF-scale, version 0.10 was published. This version was based on a 12-step rating scale. Over the next few years, dozens of tornadoes would be rated on this version of the scale. Most notably, the 2021 South Moravia tornado received a rating (IF4) and full damage survey on the IF-scale conducted by ESSL, the Czech Hydrometeorological Institute and four other organizations.[2] On May 6, 2023, version 0.99.9d was published, which changed it to a 9-step rating scale.[3] In late July 2023, the first official version of the IF scale was published.[4]
2018 version edit
| IF0- | IF0 | IF0+ | IF1- | IF1 | IF1+ | IF2- | IF2 | IF2+ | IF3 | IF4 | IF5 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Weak | Strong | Violent | |||||||||
| Significant | |||||||||||
| Intense | |||||||||||
Parameters edit
The 12 categories for the International Fujita scale are listed below, in order of increasing intensity. Although the wind speeds and photographic damage examples are updated, which are more or less still accurate. However, for the actual IF-scale in practice, damage indicators (the type of structure which has been damaged) are predominantly used in determining the tornado intensity. The IF-scale steps are defined by a central value and an error. The errors have been estimated to be 30% of the central value, resulting in overlapping speed ranges. The distances between the central values of the steps have been so chosen that the upper bound exceeds the central value of the next step, ensuring a balance between the resolution of the scale and the expected errors. Since ESSL required that the steps be consistent with the original Fujita scale, they introduced steps with – and + suffixes indicating steps one third higher or lower than the central value of the original scale, e.g. F1- equals "F2 - 1⁄3F2" and F2+ equals "F2 + 1⁄3F2". Above F2, such a subdivision was not introduced and only full steps are used.
| Scale | Wind speed (Estimated) | ||
| mph | km/h | m/s | |
| IF0- | 45 ± 14 | 72 ± 22 | 20 ± 6 |
| IF0 | 56 ± 17 | 90 ± 27 | 25 ± 7 |
| IF0+ | 67 ± 20 | 108 ± 32 | 30 ± 9 |
| IF1- | 70 ± 24 | 128 ± 38 | 36 ± 11 |
| IF1 | 92 ± 28 | 149 ± 45 | 41 ± 12 |
| IF1+ | 106 ± 32 | 170 ± 51 | 47 ± 14 |
| IF2- | 120 ± 36 | 193 ± 58 | 54 ± 16 |
| IF2 | 135 ± 40 | 217 ± 65 | 60 ± 18 |
| IF2+ | 150 ± 45 | 241 ± 72 | 67 ± 20 |
| IF3 | 182 ± 55 | 293 ± 88 | 81 ± 24 |
| IF4 | 234 ± 70 | 376 ± 113 | 105 ± 31 |
| IF5 | 290 ± 87 | 466 ± 140 | 130 ± 39 |
2023 version edit
On May 6, 2023, version 0.99.9d was published, which changed it to a 9-step rating scale.[3] In this version, the wind speed damage indicator was introduced, which made it the first tornado intensity and damage scale to use measured wind speeds and Doppler weather radar measured wind speeds.[3] When the first official publication of the IF scale, the 9-step rating scale was kept. It was noted that each scale's wind speed is to be taken with a 20% error margin on each side of the central value.[4] This was done to ensure the lower or upper bound of the overlapping rating came close to the central value of the other rating.[4]
| IF0 | IF0.5 | IF1 | IF1.5 | IF2 | IF2.5 | IF3 | IF4 | IF5 |
|---|---|---|---|---|---|---|---|---|
| Weak | Strong | Violent | ||||||
| Significant | ||||||||
| Intense | ||||||||
| Scale | Wind speed (Estimated) (Central value; Full range of the 20% error margin) | ||
| mph | km/h | m/s | |
| IF0 | 55; 44–66 | 90; 72–108 | 25; 20–30 |
| IF0.5 | 75; 60–90 | 120; 96–144 | 33; 27–40 |
| IF1 | 90; 72–108 | 150; 130–180 | 40; 32–48 |
| IF1.5 | 110; 88–132 | 180; 144–216 | 50; 40–60 |
| IF2 | 135; 108–162 | 220; 176–264 | 60; 48–72 |
| IF2.5 | 160; 128–192 | 250; 200–300 | 70; 56–84 |
| IF3 | 180; 144–216 | 290; 232–348 | 80; 64–96 |
| IF4 | 230; 184–276 | 380; 304–456 | 105; 84–126 |
| IF5 | 290; 232–348 | 470; 376–564 | 130; 104–156 |
Damage indicators, subclasses, and degrees of damage edit
The IF scale currently has 23 damage indicators (DI), each with a varying number of subclasses and degrees of damage (DoD).[4][3]
| DI Abbr. | Damage indicator (DI) | Subclasses | Degrees of damage |
|---|---|---|---|
| BS | Building - structure | A, AB, B, C, D, E, F | 0, 1A, 1B, 2 |
| BR | Building - roof | A, AB, B, C, D, E, F | 0, 1, 2 |
| BN | Building - non-structural elements | SW, SS, TW, TS, HW, HS | 0, 1, 2, 3 |
| BM | Building - anchoring | SM, SI, DB | 1 |
| VH | Road Vehicles | C, E, L, T | 0, 1, 2, 3, 4 |
| TR | Trees | W, A, S | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 |
| TS | Tree stands | WA, S | 0, 1, 2, 3, 4 |
| WT | Wind turbines | A, S | 0, 1, 2, 3 |
| GH | Greenhouses | W, A, S | 0, 1, 2, 3 |
| TC | Train cars | S, F | 0, 1 |
| MH | Mobile homes / Static caravans | – | 0, 1, 2, 3, 4, 5 |
| PT | Poles and towers | W, S, T | 0, 1, 2 |
| SP | Solar Panels | – | 0, 1 |
| FC | Fences | W, S | 0, 1 |
| FW | Free-standing walls | Z, A, AB, B, C, D, E, F | 1, 2 |
| SN | Signs and billboards | T, M | 0, 1, 2 |
| SW | Connected scaffolding | – | 1 |
| CP | Carports / garages | – | 1 |
| SS | Service Station Canopies | – | 0, 1, 2, 3 |
| SC | Shipping Containers | A, B, C, D, E, F | 1, 2, 3 |
| CR | Cranes | G, t | 1, 2 |
| OF | Outdoor Furniture | L, H | 0, 1, 2 |
| WM | Wind Speed Measurement | See section below | See section below |
DI: Wind Speed Measurement edit
A unique feature of the International Fujita scale compared to the Fujita or Enhanced Fujita scale is a new damage indicator based on measured wind speeds. For the IF scale, only wind speeds measured at or below 10 metres (11 yd) can be used to determine a rating. Doppler weather radar measurements are also able to be used to determine a rating if they are measured within damaging distance. For radar measurements, any readings below 60 metres (66 yd) can be used to determine a rating.[4][3]
Three second measurement edit
For three-second wind speed measurements, it is assumed to be an average of 88.8% of the three-second measurement.[4][3]
| Degree of Damage (DoD) / Measured IF# Speed | Three Second Measurement | ||
| mph | km/h | m/s | |
| DoD 0 / IF0 | 42.5–56 | 69–91 | 19–25 |
| DoD 0.5 / IF0.5 | 57–74.5 | 92–120 | 26–32 |
| DoD 1 / IF1 | 73.9–90 | 119–146 | 33–40 |
| DoD 1.5 / IF1.5 | 91–109 | 147–176 | 40–49 |
| DoD 2 / IF2 | 110–129 | 177–208 | 50–57 |
| DoD 2.5 / IF2.5 | 129–156.5 | 209–242 | 58–70 |
| DoD 3 / IF3 | 151–183.9 | 243–296 | 68–82 |
| DoD 4 / IF4 | 184–231 | 297–373 | 83–103 |
| DoD 5 / IF5 | ≥232 | ≥374 | ≥104 |
Two second measurement edit
For two-second wind speed measurements, it is assumed to be an average of 90.9% of the two-second measurement.[4][3]
| Degree of Damage (DoD) / Measured IF# Speed | Two Second Measurement | ||
| mph | km/h | m/s | |
| DoD 0 / IF0 | 43.4–58 | 70–94 | 20–26 |
| DoD 0.5 / IF0.5 | 59–74 | 95–120 | 27–33 |
| DoD 1 / IF1 | 75–93 | 121–150 | 34–40 |
| DoD 1.5 / IF1.5 | 93–111.8 | 150–180 | 42–50 |
| DoD 2 / IF2 | 111.8–132 | 180–213 | 51–59 |
| DoD 2.5 / IF2.5 | 133–154 | 214–248 | 60–68 |
| DoD 3 / IF3 | 154–188 | 249–303 | 69–84 |
| DoD 4 / IF4 | 188–237 | 304–382 | 85–106 |
| DoD 5 / IF5 | ≥238 | ≥383 | ≥107 |
One second measurement edit
For one-second wind speed measurements, it is assumed to be an average of 92.5% of the one-second measurement.[4][3]
| Degree of Damage (DoD) / Measured IF# Speed | One Second Measurement | ||
| mph | km/h | m/s | |
| DoD 0 / IF0 | 44.1–58 | 71–95 | 20–26 |
| DoD 0.5 / IF0.5 | 59–76 | 96–123 | 27–34 |
| DoD 1 / IF1 | 77–94 | 124–152 | 35–42 |
| DoD 1.5 / IF1.5 | 95–113 | 153–183 | 43–51 |
| DoD 2 / IF2 | 114–134 | 184–220 | 52–60 |
| DoD 2.5 / IF2.5 | 135–156 | 218–252 | 61–70 |
| DoD 3 / IF3 | 157–191 | 253–308 | 71–85 |
| DoD 4 / IF4 | 192–241 | 309–388 | 86–107 |
| DoD 5 / IF5 | ≥241.5 | ≥389 | ≥108 |
Zero second measurement edit
For zero-second wind speed measurements, it is assumed to be an instantaneous wind speed measurement.[4][3] This can only be used if it was 10Hz or higher sample rate.[4][3][6]
| Degree of Damage (DoD) / Measured IF# Speed | Zero Second Measurement | ||
| mph | km/h | m/s | |
| DoD 0 / IF0 | 47.8–64 | 77–103 | 22–28 |
| DoD 0.5 / IF0.5 | 64–82 | 104–132 | 29–36 |
| DoD 1 / IF1 | 82–101.9 | 133–164 | 37–45 |
| DoD 1.5 / IF1.5 | 102–123 | 165–198 | 46–55 |
| DoD 2 / IF2 | 124–145 | 199–234 | 56–65 |
| DoD 2.5 / IF2.5 | 146–169 | 235–273 | 66–75 |
| DoD 3 / IF3 | 170–207 | 274–333 | 76–92 |
| DoD 4 / IF4 | 208–260 | 334–420 | 93–116 |
| DoD 5 / IF5 | ≥261 | ≥421 | ≥117 |
See also edit
References edit
- ^ "The International Fujita (IF) Scale Tornado and Wind Damage Assessment Guide" (PDF). ESSL.org. European Severe Storms Laboratory. Retrieved 26 June 2022.
- ^ Tomás Púcik; David Rúva; Miroslav Singer; Miloslav Stanëk; Pieter Groenemeijer (23 June 2022). "Damage Survey of the Violent Tornado in Southeast Czechia on 24 June 2021" (PDF). European Severe Storms Laboratory. pp. 1–31. Retrieved 16 May 2023.
- ^ a b c d e f g h i j "The International Fujita (IF) Scale" (PDF). European Severe Storms Laboratory. Retrieved 8 May 2023.
- ^ a b c d e f g h i j Pieter Groenemeijer (ESSL); Lothar Bock (DWD); Juan de Dios Soriano (AEMet); Maciej Dutkiewicz (Bydgoszcz University of Science and Technology); Delia Gutiérrez-Rubio (AEMet); Alois M. Holzer (ESSL); Martin Hubrig; Rainer Kaltenberger; Thilo Kühne (ESSL); Mortimer Müller (Universität für Bodenkultur); Bas van der Ploeg; Tomáš Púčik (ESSL); Thomas Schreiner (ESSL); Miroslav Šinger (SHMI); Gabriel Strommer (ESSL); Andi Xhelaj (University of Genova) (30 July 2023). "The International Fujita (IF) Scale" (PDF). European Severe Storms Laboratory. Retrieved 30 July 2023.
- ^ a b "Severe Thunderstorm Climatology". Archived from the original on 2012-10-04. Retrieved 2022-07-17.
- ^ A. C. M. Beljaars (1 December 1987). "The Influence of Sampling and Filtering on Measured Wind Gusts". Journal of Atmospheric and Oceanic Technology. 4 (4): 613–626. doi:10.1175/1520-0426(1987)004<0613:TIOSAF>2.0.CO;2. ISSN 1520-0426. Retrieved 16 May 2023.