GEOS-FP
E399058
GEOS modeling system configuration
atmospheric data assimilation and forecasting system
numerical weather prediction system
GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GEOS-FP canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918620 — 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: GEOS-FP Context triple: [Goddard Earth Observing System models, hasVersion, GEOS-FP]
-
A.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
-
B.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
-
C.
FGP
FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
-
D.
FGS
FGS is a high-precision optical instrument used on space telescopes to maintain accurate pointing and stabilization during observations.
-
E.
GS/OS
GS/OS is the graphical, disk-based operating system developed by Apple for the Apple IIGS computer, featuring a Macintosh-like interface and advanced 16-bit capabilities.
- 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: GEOS-FP Target entity description: GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
-
A.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
-
B.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
-
C.
FGP
FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
-
D.
FGS
FGS is a high-precision optical instrument used on space telescopes to maintain accurate pointing and stabilization during observations.
-
E.
GS/OS
GS/OS is the graphical, disk-based operating system developed by Apple for the Apple IIGS computer, featuring a Macintosh-like interface and advanced 16-bit capabilities.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
GEOS modeling system configuration
ⓘ
atmospheric data assimilation and forecasting system ⓘ numerical weather prediction system ⓘ |
| acronymFor |
Goddard Earth Observing System models
ⓘ
surface form:
Goddard Earth Observing System Forward Processing
|
| affiliation | NASA ⓘ |
| basedOn |
Goddard Earth Observing System models
ⓘ
surface form:
Goddard Earth Observing System model
|
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| dataAccess |
HTTP
ⓘ
NASA Distributed Active Archive Centers ⓘ
surface form:
NASA GES DISC
OPeNDAP ⓘ |
| dataFormat |
GRIB
ⓘ
NetCDF ⓘ |
| developedBy |
Global Modeling and Assimilation Office
ⓘ
surface form:
NASA Global Modeling and Assimilation Office
Goddard Space Flight Center ⓘ
surface form:
NASA Goddard Space Flight Center
|
| domain |
Earth system modeling
ⓘ
atmospheric science ⓘ |
| hasCharacteristic |
data assimilation
ⓘ
global coverage ⓘ high spatial resolution ⓘ near-real-time ⓘ numerical weather forecasting ⓘ reanalysis-like fields ⓘ |
| hasComponent |
data assimilation system
ⓘ
forecast model ⓘ observation processing system ⓘ |
| hasSpatialResolution | approximately 0.25 degree horizontal resolution ⓘ |
| hasTemporalResolution |
hourly
ⓘ
sub-daily ⓘ |
| operatedBy |
Global Modeling and Assimilation Office
ⓘ
surface form:
NASA Global Modeling and Assimilation Office
|
| partOf |
Goddard Earth Observing System models
ⓘ
surface form:
Goddard Earth Observing System
|
| producer |
Global Modeling and Assimilation Office
ⓘ
surface form:
NASA Global Modeling and Assimilation Office
Goddard Space Flight Center ⓘ
surface form:
NASA Goddard Space Flight Center
|
| provides |
3D atmospheric state variables
ⓘ
aerosol fields ⓘ meteorological analysis fields ⓘ meteorological forecast fields ⓘ radiation-related variables ⓘ surface meteorological variables ⓘ |
| timeLatency | near-real-time latency of a few hours ⓘ |
| usedFor |
air quality studies
ⓘ
atmospheric composition studies ⓘ forcing for chemistry and transport models ⓘ forcing for land and ocean models ⓘ satellite product development and evaluation ⓘ weather and climate research ⓘ |
| uses |
data assimilation techniques
ⓘ
in situ observations ⓘ 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.
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: GEOS-FP Description of subject: GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.