• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

FRANC: Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme

The dataset is provided to support the publication 'Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics' by Waller et al (2016). The dataset was created as part of the NERC Flooding from Intense Rainfall (FRANC) project in order to study the observation uncertainties associated with Doppler radar radial wind observations assimilated in to the Met Office UK variable resolution model. The dataset is processed output of the Met Office UKV 3D var assimilation scheme for June, July and August 2013 for four different experimental scenarios. Full details and equations are given in Waller et al (2016) but the four different experimental cases are summarised as follows:



- Case 1: Control experiment using standard UKV settings in place in January 2014

- Case 2: As Case 1, but with a different background error covariance matrix used in the data assimilation

- Case 3: As Case 1, but with raw Doppler radial wind observations rather than superobservations

- Case 4: As Case 3, but with an improved observation operator.



For each case the dataset consists of the radial wind observations assimilated at each assimilation cycle valid between 01/06/2013 and 31/08/2016 along with the associated observation-minus-background and observation-minus-analysis residuals. Each observation also has metadata that describes the location of the observation (both in latitude/longitude co-ordinates, and co-ordinates relative to the radar station) , the assimilation cycle at which it was assimilated and the observation error variance that the observation was assigned in the data assimilation scheme.



These data are published under the Open Government License ( http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) © Crown Copyright, 2020, Met Office”.

Simple

Date (Publication)
2020-09-30T10:41:42
Date (Creation)
2020-09-30T10:41:42
Citation identifier
https://catalogue.ceda.ac.uk/uuid/5d8221e070e64823891bed7a87840447
Citation identifier
Centre for Environmental Data Analysis (CEDA) / 5d8221e070e64823891bed7a87840447
Citation identifier
doi / 10.5285/5d8221e070e64823891bed7a87840447
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Waller, Joanne A.

Unavailable

Author

Unavailable

Simonin, David

Unavailable

Author

Unavailable

Dance, Sarah L.

Unavailable

Author

Unavailable

Nichols, Nancy K.

Unavailable

Author

Unavailable

Ballard, Susan P.

Unavailable

Author

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Custodian

Met Office

enquiries@metoffice.gov.uk

Owner

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor

Unavailable

Dance, Sarah L.

Unavailable

Principal investigator

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

pointofContact

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Not planned
Update scope
Dataset
Keywords
  • Doppler radial winds

  • data assimilation

  • convection permitting numerical weather prediction

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
Other restrictions
Other constraints
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
thumbnail




Begin date
2013-06-01T00:00:00
End date
2013-08-31T23:59:59
Unique resource identifier
WGS 84
Distribution format
Name Version

Data are BADC-CSV formatted.

Distributor contact
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/5d8221e070e64823891bed7a87840447

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
http://data.ceda.ac.uk/badc/deposited2020/franc/data/franc_radialwinds/

DOWNLOAD

OnLine resource
Protocol Linkage Name
https://doi.org/10.1175/MWR-D-15-0340.1

Waller, J. A., D. Simonin, S. L. Dance, N. K. Nichols, and S. P. Ballard, 2016: Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics. Mon. Wea. Rev., 144, 3533–3551, https://doi.org/10.1175/MWR-D-15-0340.1.

OnLine resource
Protocol Linkage Name
http://blogs.reading.ac.uk/flooding/

Flooding From Intense Rainfall programme website, including details of the FRANC project

Hierarchy level
Dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Observation data were quality controlled, superobservations were created and superobservations quality controlled before being assimilated with Met Office UKV background data. The data assimilation output was then prepared for archiving before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.

Metadata

File identifier
5d8221e070e64823891bed7a87840447 XML
Metadata language
English
Character set
UTF8
Parent identifier
Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): rain radar helical scan data, assimilation versus model residuals and ensemble member model output.

333bf4303034426a857515a768387e4f

Hierarchy level
Dataset
Date stamp
2025-08-12T02:21:11
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •