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Dataset

 

MSG: RGB 'False Colour' 321 product daytime imagery UKV domain area

Update Frequency: Daily
Latest Data Update: 2023-06-19
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2007-02-20
Download Stats: last 12 months
Dataset Size: 82.5K Files | 8GB

Abstract

The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas.

This dataset contains RGB 'False Colour' 321 product images from MSG satellites over UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.

RGB images are composite images generated by combining two or more channels and displaying in colour. The naming convention describes which channel is assigned to the red, green and blue colours. For example RGB 321 means that channel 3 (1.6 micron) is on the red, channel 2 (0.8 micron) is on the green and channel 1 (0.6 micron) is on the blue. This combination can then highlight different physical features through the differing amounts of red, green and blue and hence give a unique colour to that feature. In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.

The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).

Citable as:  Met Office; EUMETSAT (2007): MSG: RGB 'False Colour' 321 product daytime imagery UKV domain area. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/0da0cdbb61234482ab342ff7007e2ba2
Abbreviation: Not defined
Keywords: MSG, Snow, Satellites, Mesoscale Area

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Use of these data is covered by the following licence: http://licences.ceda.ac.uk/image/data_access_condition/msg.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data obtained by satellite from March 2005, prepared by the Met Office and stored in the BADC archive.

Data Quality:
Operational satellite data.
File Format:
Images are GIF formatted

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: Meteosat Second Generation 2 (MSG-2) or METEOSAT-9

Computation Element: 1

Title Snow Detection Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9
Abstract Snow Detection Products derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • long_name: Snow
  • gcmd_url: http://vocab.ndg.nerc.ac.uk/term/P041/4/G290
  • gcmd_keyword: EARTH SCIENCE > Atmosphere > Precipitation > Snow
  • names: http://vocab.ndg.nerc.ac.uk/term/P041/4/G290, EARTH SCIENCE > Atmosphere > Precipitation > Snow

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2005-09-07T10:00:00
End time:
Ongoing
Geographic Extent

 
60.1567°
 
-17.6440°
 
14.3478°
 
44.9678°
 
Related parties
Principal Investigators (1)