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”.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2020-09-30T10:41:42
- Dataset Reference Date ()
- 2020-09-30T10:41:42
- Identifier
- Centre for Environmental Data Analysis (CEDA) / 5d8221e070e64823891bed7a87840447
- Identifier
- doi / 10.5285/5d8221e070e64823891bed7a87840447
- Maintenance and update frequency
- notPlanned
- Update scope
- dataset
- Keywords
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- Doppler radial winds
- data assimilation
- convection permitting numerical weather prediction
- GEMET - INSPIRE themes, version 1.0 ()
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- atmospheric conditions
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Climatology, meteorology, atmosphere
- Begin date
- 2013-06-01T00:00:00
- End date
- 2013-08-31T23:59:59
- Code
- WGS 84
Distribution Information
- Data format
-
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Data are BADC-CSV formatted.
()
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Data are BADC-CSV formatted.
()
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
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.
No further details.
- Resource Locator
-
Flooding From Intense Rainfall programme website, including details of the FRANC project
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
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.
No further details.
- Resource Locator
-
Flooding From Intense Rainfall programme website, including details of the FRANC project
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 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 (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- 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
- Resource type
- dataset
- Metadata Date
- 2024-03-18T00:18:33
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3