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DIAMET: Met Office and University of Manchester radiosonde profiles

Latest Data Update: 2012-10-04
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2015-04-27
Download Stats: last 12 months
Dataset Size: 138 Files | 60MB


The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.

This dataset contains meteorological data recorded by radiosondes launched in support of the DIAMET campaign. Data are from the Manchester radiosondes launched at Aberystwyth and from Met Office sondes at Albemarle, Camborne, Castor Bay, Herstmonceux, Lerwick and Lochranza.

Citable as:  Met Office; University of Manchester (2015): DIAMET: Met Office and University of Manchester radiosonde profiles. NCAS British Atmospheric Data Centre, date of citation.
Abbreviation: Not defined
Keywords: DIAMET, temperature, pressure, humidity


Previous Info:
No news update for this record
Previously used record identifiers:
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Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data received via project team

File Format:
Data are ASCII formatted

Related Documents

 DIAMET catalogue record

Process overview

This dataset was generated by instruments deployed on platforms as listed below.
Output Description


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