U.S. hurricane forecast and warning system
E821384
The U.S. hurricane forecast and warning system is the national framework of observational tools, computer models, and communication protocols used to predict hurricanes and issue timely alerts to protect life and property.
All labels observed (2)
| Label | Occurrences |
|---|---|
| National Hurricane Operations Plan | 1 |
| U.S. hurricane forecast and warning system canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9796870 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: U.S. hurricane forecast and warning system Context triple: [Sea, Lake, and Overland Surges from Hurricanes model, partOf, U.S. hurricane forecast and warning system]
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A.
Hurricane and Storm Damage Risk Reduction System program
The Hurricane and Storm Damage Risk Reduction System program is a U.S. Army Corps of Engineers initiative designed to strengthen and modernize flood and storm surge defenses in the New Orleans region following Hurricane Katrina.
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B.
Sea, Lake, and Overland Surges from Hurricanes model
The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is a computer simulation tool developed by the U.S. National Weather Service to estimate storm surge heights and inundation from tropical cyclones for coastal emergency planning and forecasting.
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C.
World Meteorological Organization regional warning system
The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
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D.
Tropical Cyclone Warning Centers
Tropical Cyclone Warning Centers are specialized meteorological agencies around the world responsible for monitoring, forecasting, and issuing warnings about tropical cyclones in their designated regions.
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E.
Saffir–Simpson Hurricane Wind Scale
The Saffir–Simpson Hurricane Wind Scale is a 1-to-5 categorization system that rates hurricanes based on their sustained wind speeds and potential for property damage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: U.S. hurricane forecast and warning system Target entity description: The U.S. hurricane forecast and warning system is the national framework of observational tools, computer models, and communication protocols used to predict hurricanes and issue timely alerts to protect life and property.
-
A.
Hurricane and Storm Damage Risk Reduction System program
The Hurricane and Storm Damage Risk Reduction System program is a U.S. Army Corps of Engineers initiative designed to strengthen and modernize flood and storm surge defenses in the New Orleans region following Hurricane Katrina.
-
B.
Sea, Lake, and Overland Surges from Hurricanes model
The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is a computer simulation tool developed by the U.S. National Weather Service to estimate storm surge heights and inundation from tropical cyclones for coastal emergency planning and forecasting.
-
C.
World Meteorological Organization regional warning system
The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
-
D.
Tropical Cyclone Warning Centers
Tropical Cyclone Warning Centers are specialized meteorological agencies around the world responsible for monitoring, forecasting, and issuing warnings about tropical cyclones in their designated regions.
-
E.
Saffir–Simpson Hurricane Wind Scale
The Saffir–Simpson Hurricane Wind Scale is a 1-to-5 categorization system that rates hurricanes based on their sustained wind speeds and potential for property damage.
- F. None of above. chosen
Statements (83)
| Predicate | Object |
|---|---|
| instanceOf |
disaster risk reduction system
ⓘ
early warning system ⓘ national forecasting framework ⓘ |
| component |
emergency management coordination
ⓘ
forecast operations centers ⓘ hurricane observation network ⓘ
linked to:
NOAA observing systems
numerical weather prediction models ⓘ public communication protocols ⓘ storm surge models ⓘ warning dissemination system ⓘ |
| coordinatedWith |
Federal Emergency Management Agency
ⓘ
U.S. Coast Guard ⓘ
linked to:
United States Coast Guard
broadcast media ⓘ local emergency management agencies ⓘ state emergency management agencies ⓘ wireless carriers ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| coversRegion |
Atlantic basin
ⓘ
Caribbean territories of the United States ⓘ
linked to:
U.S. Caribbean territories
U.S. Atlantic coast ⓘ U.S. Gulf Coast ⓘ
linked to:
Gulf Coast of the United States
U.S. Pacific territories ⓘ central North Pacific ⓘ eastern North Pacific ⓘ |
| dataSource |
GOES weather satellites
ⓘ
linked to:
NOAA satellites
JPSS weather satellites ⓘ NOAA Hurricane Hunter aircraft ⓘ
linked to:
NOAA hurricane research fleet
National Data Buoy Center buoys ⓘ U.S. Air Force Reserve Hurricane Hunters ⓘ WSR-88D Doppler radar network ⓘ
linked to:
KOUN WSR-88D radar
|
| issues |
extreme wind warnings
ⓘ
flash flood warnings ⓘ flash flood watches ⓘ hurricane outlooks ⓘ hurricane warnings ⓘ hurricane watches ⓘ storm surge warnings ⓘ storm surge watches ⓘ tropical cyclone advisories ⓘ tropical storm warnings ⓘ tropical storm watches ⓘ tropical weather outlooks ⓘ |
| legalAuthority |
National Weather Service Organic Act
ⓘ
Stafford Act ⓘ Weather Research and Forecasting Innovation Act of 2017 ⓘ |
| managedBy |
NOAA National Weather Service
ⓘ
linked to:
National Weather Service
|
| operatedBy |
Central Pacific Hurricane Center
ⓘ
National Hurricane Center ⓘ |
| primaryAgency |
National Oceanic and Atmospheric Administration
ⓘ
National Weather Service ⓘ |
| primaryGoal |
protection of life
ⓘ
protection of property ⓘ risk communication ⓘ |
| specializedCenter |
Central Pacific Hurricane Center
ⓘ
National Hurricane Center ⓘ |
| supportedBy |
Hurricane Forecast Improvement Program
ⓘ
National Hurricane Operations Plan ⓘ
linked to:
U.S. hurricane forecast and warning system
|
| timeHorizon |
medium-range forecasts
ⓘ
seasonal outlooks ⓘ short-range forecasts ⓘ |
| uses |
data assimilation systems
ⓘ
deterministic forecast models ⓘ dropsonde measurements ⓘ ensemble forecast models ⓘ geostationary weather satellites ⓘ hurricane hunter aircraft reconnaissance ⓘ ocean buoys ⓘ polar-orbiting weather satellites ⓘ radar networks ⓘ storm surge inundation models ⓘ surface weather observations ⓘ wave models ⓘ |
| usesCommunicationChannel |
Emergency Alert System
ⓘ
linked to:
Emergency Alert System in the United States
NOAA Weather Radio ⓘ
linked to:
NOAA weather radio network
Wireless Emergency Alerts ⓘ
linked to:
Wireless Emergency Alerts system
social media platforms ⓘ television and radio broadcasts ⓘ web-based advisories ⓘ |
| usesProduct |
arrival time of winds graphics
ⓘ
cone of uncertainty ⓘ storm surge inundation maps ⓘ wind speed probability graphics ⓘ |
| usesScale | Saffir–Simpson Hurricane Wind Scale ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: U.S. hurricane forecast and warning system Description of subject: The U.S. hurricane forecast and warning system is the national framework of observational tools, computer models, and communication protocols used to predict hurricanes and issue timely alerts to protect life and property.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.