MERRA reanalysis system
E399060
The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
All labels observed (4)
| Label | Occurrences |
|---|---|
| MERRA reanalysis system canonical | 2 |
| MERRA-2 reanalysis system | 2 |
| MERRA | 1 |
| Modern-Era Retrospective analysis for Research and Applications | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918623 — 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: MERRA reanalysis system Context triple: [Goddard Earth Observing System models, hasVersion, MERRA reanalysis system]
-
A.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
B.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
-
C.
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.
-
D.
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.
-
E.
Manabe–Wetherald climate model
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
- 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: MERRA reanalysis system Target entity description: The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
-
A.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
B.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
-
C.
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.
-
D.
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.
-
E.
Manabe–Wetherald climate model
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
NASA reanalysis project
ⓘ
atmospheric reanalysis system ⓘ |
| access | open access data ⓘ |
| acronym |
MERRA reanalysis system
self-linksurface differs
ⓘ
surface form:
MERRA
|
| application |
climate research
ⓘ
energy and water cycle analysis ⓘ hydrological studies ⓘ model validation ⓘ weather and climate diagnostics ⓘ |
| dataFormat |
HDF
ⓘ
NetCDF ⓘ |
| dataType |
global climate data products
ⓘ
gridded atmospheric fields ⓘ reanalysis data ⓘ |
| developer |
NASA
ⓘ
Goddard Space Flight Center ⓘ
surface form:
NASA Goddard Space Flight Center
|
| domain |
atmospheric science
ⓘ
climate science ⓘ meteorology ⓘ |
| focus | modern-era satellite data utilization ⓘ |
| fullName |
MERRA reanalysis system
self-linksurface differs
ⓘ
surface form:
Modern-Era Retrospective analysis for Research and Applications
|
| gridType | regular latitude–longitude grid ⓘ |
| hostedBy | NASA Goddard Earth Sciences Data and Information Services Center ⓘ |
| inputData |
conventional meteorological observations
ⓘ
in situ observations ⓘ satellite observations ⓘ |
| language | English documentation ⓘ |
| organization |
Global Modeling and Assimilation Office
ⓘ
surface form:
NASA Global Modeling and Assimilation Office
|
| providesVariable |
atmospheric temperature
ⓘ
humidity ⓘ precipitation-related fields ⓘ surface pressure ⓘ winds ⓘ |
| purpose |
produce long-term consistent records of global climate data
ⓘ
produce long-term consistent records of global weather data ⓘ |
| spatialCoverage | global ⓘ |
| sponsor | NASA Earth Science Division ⓘ |
| succeededBy |
MERRA reanalysis system
self-linksurface differs
ⓘ
surface form:
MERRA-2 reanalysis system
|
| temporalCoverage | modern satellite era ⓘ |
| timeResolution |
hourly
ⓘ
monthly means ⓘ sub-daily ⓘ |
| usedBy |
climate researchers worldwide
ⓘ
operational and research meteorologists ⓘ |
| usesMethod |
data assimilation
ⓘ
numerical weather prediction modeling ⓘ |
| usesModel |
Goddard Earth Observing System models
ⓘ
surface form:
GEOS atmospheric general circulation model
Goddard Earth Observing System models ⓘ
surface form:
Goddard Earth Observing System
|
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: MERRA reanalysis system Description of subject: The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
MERRA-2 reanalysis system
this entity surface form:
Modern-Era Retrospective analysis for Research and Applications
this entity surface form:
MERRA
this entity surface form:
MERRA-2 reanalysis system