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Entry: Predictions & Post Processed

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URI: http://reference.metoffice.gov.uk/DataCategories/data-types/PredictionsPostProcessed    

Predictions and Post Processed data are defined as data that infers a full coverage of the state of the physical, chemical and/or biological environment within a given domain and specific context. This includes data assimilation analysis, projections and predictions to different times and post processed outputs derived from predictions. Data are produced using automated production typically in large volumes controlled by algorithms and data science. Prediction data can take many forms, but they always have a Geospatial Feature, Coverage or native grids on creation. They may be packaged differently for supply for customer requirement.

Core metadata

is a Concept | data type
changed on 27 Jun 2023 08:58:09.902
submitted bymo-marqh
accepted on 14 Jun 2022 08:02:57.692

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date accepted 14 Jun 2022 08:02:57.692
date submitted 1 Jun 2022 08:23:08.019
definition
entity Predictions & Post Processed
source graph graph

description Predictions and Post Processed data are defined as data that infers a full coverage of the state of the physical, chemical and/or biological environment within a given domain and specific context. This includes data assimilation analysis, projections and predictions to different times and post processed outputs derived from predictions. Data are produced using automated production typically in large volumes controlled by algorithms and data science. Prediction data can take many forms, but they always have a Geospatial Feature, Coverage or native grids on creation. They may be packaged differently for supply for customer requirement.
item class Concept | data type
label Predictions & Post Processed
modified 27 Jun 2023 08:58:09.902
notation PredictionsPostProcessed
register data types
status status stable
submitter
account name https://api.github.com/users/mo-marqh
name mo-marqh

type register item
version info 4
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Definition

broader Environmental Data
description Predictions and Post Processed data are defined as data that infers a full coverage of the state of the physical, chemical and/or biological environment within a given domain and specific context. This includes data assimilation analysis, projections and predictions to different times and post processed outputs derived from predictions. Data are produced using automated production typically in large volumes controlled by algorithms and data science. Prediction data can take many forms, but they always have a Geospatial Feature, Coverage or native grids on creation. They may be packaged differently for supply for customer requirement.
label Predictions & Post Processed
notation ProdictionsPostProcessed
type Concept | Data Type