Global Modeling and Assimilation Office
E399057
The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
All labels observed (3)
| Label | Occurrences |
|---|---|
| NASA Global Modeling and Assimilation Office | 5 |
| Global Modeling and Assimilation Office canonical | 2 |
| Global Modeling and Assimilation Office (GMAO) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918596 — 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: Global Modeling and Assimilation Office Context triple: [Goddard Earth Observing System models, developedBy, Global Modeling and Assimilation Office]
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A.
National Centers for Environmental Prediction
The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
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B.
Atmospheric System Research
Atmospheric System Research is a U.S. Department of Energy subprogram that investigates atmospheric processes and cloud–aerosol interactions to improve climate and Earth system models.
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C.
Office of Forecasting, Research and Analysis
The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
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D.
Geophysical Fluid Dynamics Laboratory
The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
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E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Global Modeling and Assimilation Office Target entity description: The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
-
A.
National Centers for Environmental Prediction
The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
-
B.
Atmospheric System Research
Atmospheric System Research is a U.S. Department of Energy subprogram that investigates atmospheric processes and cloud–aerosol interactions to improve climate and Earth system models.
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C.
Office of Forecasting, Research and Analysis
The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
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D.
Geophysical Fluid Dynamics Laboratory
The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
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E.
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.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Earth system modeling center
ⓘ
NASA research organization ⓘ atmospheric research organization ⓘ data assimilation center ⓘ |
| collaboratesWith |
National Oceanic and Atmospheric Administration
ⓘ
surface form:
NOAA
academic institutions ⓘ international weather centers ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| develops |
Goddard Earth Observing System models
ⓘ
surface form:
GEOS Earth system model
atmospheric composition models ⓘ climate prediction systems ⓘ data assimilation systems ⓘ numerical weather prediction models ⓘ |
| field |
Earth system science
ⓘ
aerosol modeling ⓘ atmospheric science ⓘ climate modeling ⓘ data assimilation ⓘ meteorology ⓘ numerical weather prediction ⓘ reanalysis ⓘ |
| focusesOn |
atmospheric composition and aerosols
ⓘ
coupled atmosphere–ocean–land–ice systems ⓘ global scale modeling ⓘ sub-seasonal to seasonal prediction ⓘ |
| locatedIn |
Greenbelt, Maryland
NERFINISHED
ⓘ
Maryland ⓘ United States of America ⓘ
surface form:
United States
|
| mission |
to develop and operate advanced Earth system models
ⓘ
to develop and operate advanced data assimilation systems ⓘ to improve understanding and prediction of weather and climate ⓘ to support NASA Earth science missions ⓘ |
| operates |
Goddard Earth Observing System models
ⓘ
surface form:
GEOS Earth system model
|
| partOf |
NASA
ⓘ
Goddard Space Flight Center ⓘ
surface form:
NASA Goddard Space Flight Center
|
| produces |
aerosol forecasts
ⓘ
forecast products ⓘ global atmospheric analyses ⓘ meteorological fields for NASA applications ⓘ reanalysis products ⓘ |
| supports |
Earth observation data analysis
ⓘ
NASA satellite missions ⓘ air quality research ⓘ atmospheric research ⓘ climate research ⓘ weather forecasting ⓘ |
| uses |
in situ observations
ⓘ
reanalysis data ⓘ satellite observations ⓘ |
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: Global Modeling and Assimilation Office Description of subject: The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.