Numerical prediction of cyclogenesis
E542058
"Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Numerical prediction of cyclogenesis canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5696276 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numerical prediction of cyclogenesis Context triple: [Jule Gregory Charney, notableWork, Numerical prediction of cyclogenesis]
-
A.
Bergen school of meteorology cyclone model
The Bergen school of meteorology cyclone model is an early 20th-century conceptual framework that explains the life cycle and structure of mid-latitude cyclones using air mass contrasts and frontal systems.
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B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Ertel potential vorticity theorem
The Ertel potential vorticity theorem is a fundamental result in geophysical fluid dynamics that states potential vorticity is materially conserved for an inviscid, adiabatic flow, making it a key tool for understanding large-scale atmospheric and oceanic motions.
-
D.
Rossby waves
Rossby waves are large-scale atmospheric and oceanic waves driven by Earth's rotation and the variation of the Coriolis effect with latitude, playing a key role in shaping global weather and climate patterns.
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E.
Real-time Multivariate MJO index
The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Numerical prediction of cyclogenesis Target entity description: "Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
-
A.
Bergen school of meteorology cyclone model
The Bergen school of meteorology cyclone model is an early 20th-century conceptual framework that explains the life cycle and structure of mid-latitude cyclones using air mass contrasts and frontal systems.
-
B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Ertel potential vorticity theorem
The Ertel potential vorticity theorem is a fundamental result in geophysical fluid dynamics that states potential vorticity is materially conserved for an inviscid, adiabatic flow, making it a key tool for understanding large-scale atmospheric and oceanic motions.
-
D.
Rossby waves
Rossby waves are large-scale atmospheric and oceanic waves driven by Earth's rotation and the variation of the Coriolis effect with latitude, playing a key role in shaping global weather and climate patterns.
-
E.
Real-time Multivariate MJO index
The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
atmospheric science work
ⓘ
meteorology publication ⓘ scientific paper ⓘ |
| associatedWithInstitution | Massachusetts Institute of Technology ⓘ |
| associatedWithPerson | Jule Gregory Charney ⓘ |
| author | Jule Gregory Charney ⓘ |
| contribution |
advanced theoretical understanding of cyclogenesis
ⓘ
demonstrated feasibility of numerical prediction of cyclone formation ⓘ early application of computers to weather prediction ⓘ |
| era | early numerical weather prediction era ⓘ |
| field |
atmospheric dynamics
ⓘ
meteorology ⓘ numerical weather prediction ⓘ |
| hasImpactOn |
development of numerical weather prediction models
ⓘ
operational weather forecasting ⓘ research on midlatitude cyclones ⓘ |
| influencedBy |
early digital computers
ⓘ
primitive equations of atmospheric motion ⓘ |
| language | English ⓘ |
| mainSubject |
cyclogenesis
ⓘ
cyclone development ⓘ cyclone formation ⓘ |
| relatedTo |
development of general circulation models
ⓘ
numerical integration of the barotropic vorticity equation ⓘ |
| topic |
baroclinic instability
ⓘ
forecasting extratropical cyclones ⓘ synoptic-scale atmospheric disturbances ⓘ |
| typeOfWork | theoretical and computational study ⓘ |
| usesMethod |
computer-based numerical modeling
ⓘ
numerical methods ⓘ |
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.
Instruction
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.
Input
Subject: Numerical prediction of cyclogenesis Description of subject: "Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.