Cross-track Infrared Sounder
E197639
The Cross-track Infrared Sounder is a high-resolution infrared spectrometer used on U.S. weather satellites to measure atmospheric temperature and moisture profiles for improved weather forecasting and climate monitoring.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Cross-track Infrared Sounder canonical | 7 |
| High Resolution Infrared Radiation Sounder | 1 |
| High-resolution Infrared Radiation Sounder | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1745294 — 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: Cross-track Infrared Sounder Context triple: [Joint Polar Satellite System, instrument, Cross-track Infrared Sounder]
-
A.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
B.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
C.
GOSAT greenhouse gases observation satellites
GOSAT greenhouse gases observation satellites are Japanese Earth-observing spacecraft dedicated to measuring atmospheric concentrations of greenhouse gases such as carbon dioxide and methane to support climate change research.
-
D.
SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
-
E.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
- 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: Cross-track Infrared Sounder Target entity description: The Cross-track Infrared Sounder is a high-resolution infrared spectrometer used on U.S. weather satellites to measure atmospheric temperature and moisture profiles for improved weather forecasting and climate monitoring.
-
A.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
B.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
C.
GOSAT greenhouse gases observation satellites
GOSAT greenhouse gases observation satellites are Japanese Earth-observing spacecraft dedicated to measuring atmospheric concentrations of greenhouse gases such as carbon dioxide and methane to support climate change research.
-
D.
SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
-
E.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
infrared sounder
ⓘ
meteorological instrument ⓘ spaceborne spectrometer ⓘ |
| abbreviation | CrIS ⓘ |
| acronymExpansion | Cross-track Infrared Sounder self-link ⓘ |
| application |
atmospheric sounding
ⓘ
climate monitoring ⓘ numerical weather prediction ⓘ weather forecasting ⓘ |
| contributesTo | long-term climate data records ⓘ |
| countryOfOperation |
United States of America
ⓘ
surface form:
United States
|
| dataProduct |
radiance spectra
ⓘ
vertical humidity profiles ⓘ vertical temperature profiles ⓘ |
| dataUsage | assimilation into numerical weather prediction models ⓘ |
| developedBy |
NASA
ⓘ
National Oceanic and Atmospheric Administration ⓘ
surface form:
NOAA
Northrop Grumman ⓘ |
| enables | three-dimensional atmospheric profiling ⓘ |
| improves | accuracy of weather forecasts ⓘ |
| measures | upwelling infrared radiation from Earth atmosphere ⓘ |
| missionType | operational environmental satellite instrument ⓘ |
| monitors |
global atmospheric humidity
ⓘ
global atmospheric temperature ⓘ |
| operatedBy |
National Oceanic and Atmospheric Administration
ⓘ
surface form:
NOAA
National Oceanic and Atmospheric Administration ⓘ |
| orbits | polar-orbiting satellites ⓘ |
| pairedWith | Advanced Technology Microwave Sounder ⓘ |
| partOf | JPSS instrument suite ⓘ |
| platformType | Earth observation satellite ⓘ |
| primaryPurpose |
measure atmospheric moisture profiles
ⓘ
measure atmospheric temperature profiles ⓘ |
| resolutionType | high spectral resolution ⓘ |
| scanType | cross-track scanning ⓘ |
| spectralRange | infrared ⓘ |
| spectrometerType | Fourier transform spectrometer ⓘ |
| supportsMission |
climate research
ⓘ
global weather observation ⓘ |
| usedBy |
climate scientists
ⓘ
operational weather centers ⓘ |
| usedFor |
climate trend analysis
ⓘ
severe weather forecasting ⓘ |
| usedOn |
Joint Polar Satellite System
ⓘ
NOAA-20 ⓘ NOAA-21 ⓘ Suomi NPP ⓘ |
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: Cross-track Infrared Sounder Description of subject: The Cross-track Infrared Sounder is a high-resolution infrared spectrometer used on U.S. weather satellites to measure atmospheric temperature and moisture profiles for improved weather forecasting and climate monitoring.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Suomi NPP
this entity surface form:
High Resolution Infrared Radiation Sounder
this entity surface form:
High-resolution Infrared Radiation Sounder