Department of Meteorology

E324581

academic department research institute

The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Department of Meteorology canonical	1
University of Reading Department of Meteorology	1

Statements (48)

Predicate	Object
instanceOf	academic department ⓘ research institute ⓘ
affiliation	National Centre for Atmospheric Science ⓘ National Centre for Earth Observation ⓘ
campus	Whiteknights Campus ⓘ
collaboratesWith	European Centre for Medium-Range Weather Forecasts ⓘ Met Office ⓘ surface form: UK Met Office
country	United Kingdom ⓘ
employs	academic staff ⓘ research staff ⓘ technical staff ⓘ
fieldOfWork	atmospheric chemistry ⓘ atmospheric physics ⓘ atmospheric science ⓘ boundary-layer meteorology ⓘ climate change ⓘ climate impacts ⓘ climate modelling ⓘ climate science ⓘ data assimilation ⓘ hydrometeorology ⓘ meteorology ⓘ numerical weather prediction ⓘ synoptic meteorology ⓘ weather ⓘ
hasResearchArea	aerosols and clouds ⓘ climate services ⓘ climate variability ⓘ extreme weather ⓘ land–surface processes ⓘ ocean–atmosphere interaction ⓘ stratosphere–troposphere coupling ⓘ weather forecasting ⓘ
hasWebsite	https://www.reading.ac.uk/meteorology ⓘ
knownFor	atmospheric dynamics research ⓘ climate model development ⓘ meteorology education ⓘ numerical weather prediction research ⓘ operational meteorology training ⓘ research in weather and climate ⓘ
languageOfInstruction	English ⓘ
locatedIn	Reading, Berkshire, England ⓘ surface form: Reading, Berkshire
offersProgram	PhD programmes in atmospheric science ⓘ postgraduate taught degrees in climate science ⓘ postgraduate taught degrees in meteorology ⓘ undergraduate degree in meteorology ⓘ undergraduate degree in meteorology and climate ⓘ
partOf	University of Reading ⓘ

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: Department of Meteorology
Description of subject: The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

University of Reading → hasFaculty → Department of Meteorology ⓘ

University of Reading Atmospheric Observatory → partOf → Department of Meteorology ⓘ

this entity surface form: University of Reading Department of Meteorology