Real-time Multivariate MJO index
E328307
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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Real-time Multivariate MJO index canonical | 2 |
| OLR-based MJO index | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3091748 — 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: Real-time Multivariate MJO index Context triple: [Madden–Julian Oscillation, hasIndex, Real-time Multivariate MJO index]
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A.
Multivariate ENSO Index
The Multivariate ENSO Index is a composite climate indicator that tracks the strength and phase of El Niño–Southern Oscillation events using multiple atmospheric and oceanic variables.
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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.
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C.
Madden–Julian Oscillation
The Madden–Julian Oscillation is a large-scale tropical atmospheric pattern characterized by eastward-moving pulses of enhanced and suppressed rainfall that strongly influence global weather and climate variability on intraseasonal timescales.
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D.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
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E.
Southern Annular Mode variability
Southern Annular Mode variability refers to fluctuations in the dominant pattern of atmospheric pressure and westerly wind strength encircling Antarctica, which strongly influence Southern Hemisphere climate and ocean circulation.
- 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: Real-time Multivariate MJO index Target entity description: 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.
-
A.
Multivariate ENSO Index
The Multivariate ENSO Index is a composite climate indicator that tracks the strength and phase of El Niño–Southern Oscillation events using multiple atmospheric and oceanic variables.
-
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.
Madden–Julian Oscillation
The Madden–Julian Oscillation is a large-scale tropical atmospheric pattern characterized by eastward-moving pulses of enhanced and suppressed rainfall that strongly influence global weather and climate variability on intraseasonal timescales.
-
D.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
-
E.
Southern Annular Mode variability
Southern Annular Mode variability refers to fluctuations in the dominant pattern of atmospheric pressure and westerly wind strength encircling Antarctica, which strongly influence Southern Hemisphere climate and ocean circulation.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Madden–Julian Oscillation index
ⓘ
atmospheric–oceanic diagnostic tool ⓘ climate index ⓘ |
| abbreviation | RMM ⓘ |
| amplitudeDefinition | square root of (RMM1 squared plus RMM2 squared) ⓘ |
| amplitudeThreshold | 1.0 ⓘ |
| assumes |
removal of interannual variability such as ENSO
ⓘ
removal of seasonal cycle ⓘ |
| basedOn |
combined atmospheric variables
ⓘ
combined oceanic variables ⓘ |
| category |
climatology
ⓘ
meteorology ⓘ |
| dataSource |
operational analysis data
ⓘ
reanalysis data ⓘ |
| defines | eight MJO phases ⓘ |
| developedFor | operational real-time use ⓘ |
| fullName | Real-time Multivariate Madden–Julian Oscillation index ⓘ |
| hasAlternative |
Real-time Multivariate MJO index
self-linksurface differs
ⓘ
surface form:
OLR-based MJO index
velocity potential–based MJO index ⓘ |
| hasComponent |
RMM1
ⓘ
RMM2 ⓘ |
| introducedBy |
Harry H. Hendon
ⓘ
Matthew C. Wheeler ⓘ |
| isComputedFrom |
daily anomalies
ⓘ
empirical orthogonal function analysis ⓘ equatorially averaged fields ⓘ |
| phaseDefinition | arctangent of RMM2 over RMM1 ⓘ |
| phaseSpaceDimension | two-dimensional ⓘ |
| primaryPurpose |
diagnosis of MJO phase and amplitude
ⓘ
real-time monitoring of the Madden–Julian Oscillation ⓘ |
| publicationYear | 2004 ⓘ |
| publishedIn | Monthly Weather Review ⓘ |
| quantifies |
phase of the Madden–Julian Oscillation
ⓘ
strength of the Madden–Julian Oscillation ⓘ |
| relatedTo |
Madden–Julian Oscillation
ⓘ
tropical intraseasonal variability ⓘ |
| represents | eastward propagation of tropical convection ⓘ |
| shortName | RMM index ⓘ |
| spatialDomain |
around the equator
ⓘ
tropical belt ⓘ |
| timeResolution | daily ⓘ |
| usedFor |
climate diagnostics
ⓘ
forecast model verification ⓘ subseasonal prediction ⓘ tropical–extratropical teleconnection studies ⓘ |
| usesVariable |
outgoing longwave radiation
ⓘ
zonal wind at 200 hPa ⓘ zonal wind at 850 hPa ⓘ |
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: Real-time Multivariate MJO index Description of subject: 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.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
Real-time Multivariate MJO index
→
hasAlternative
→
Real-time Multivariate MJO index
self-linksurface differs
ⓘ
this entity surface form:
OLR-based MJO index