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Dataset

 

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

Update Frequency: Not Planned
Latest Data Update: 2020-09-30
Status: Final
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-09-30
DOI Publication Date: 2020-10-05
Download Stats: last 12 months
Dataset Size: 4 Files | 228MB

Abstract

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”.

Citable as:  Waller, J.A.; Simonin, D.; Dance, S.L.; Nichols, N.K.; Ballard, S.P. (2020): FRANC: Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme. Centre for Environmental Data Analysis, 05 October 2020. doi:10.5285/5d8221e070e64823891bed7a87840447. https://dx.doi.org/10.5285/5d8221e070e64823891bed7a87840447
Abbreviation: Not defined
Keywords: Doppler radial winds, data assimilation, convection permitting numerical weather prediction

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

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.

Data Quality:
Observation uncertainty is given within the data files themselves, but resulting model uncertainties are not provided. See Waller et al. (2016) paper for further details.
File Format:
Data are BADC-CSV formatted.

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Fowler, A.M., Simonin, D. & Waller, J.A. (2020) Measuring Theoretical and Actual Observation Influence in the Met Office UKV: Application to Doppler Radial Winds. Geophysical Research Letters 47. https://doi.org/10.1029/2020gl091110 https://doi.org/10.1029/2020gl091110

Process overview

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

Instrument/Platform pairings

Met Office C-band radar Deployed on: Ingham Radar Station, UK

Instrument/Platform pairings

Met Office C-band radar Deployed on: Clee Hill Radar Station, UK

Instrument/Platform pairings

Met Office C-band radar Deployed on: Dudwick Radar Station, UK
NIMROD system Deployed on: Dudwick Radar Station, UK

Instrument/Platform pairings

Met Office C-band radar Deployed on: Drium a'Starraig
NIMROD system Deployed on: Drium a'Starraig

Instrument/Platform pairings

Met Office C-band radar Deployed on: Holehead Radar Station, UK

Instrument/Platform pairings

Met Office C-band radar Deployed on: Cobbacombe Cross Radar Station, UK

Computation Element: 1

Title Data assimilations run for FRANC: Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme
Abstract The datasets were created by assimilating observations from the Met Office network of C band radars into the Met Office variable-resolution convection permitting model (UKV) using version 8.2 of the unified model. The assimilation scheme is a limited-area version of the Met Office 3D variational assimilation scheme that uses an incremental approach. We note that four datasets are provided to correspond with four different experiments. Further details of the observation, model, data assimilation and four experimental cases are given in Waller et al. 2016.
Input Description None
Output Description None
Software Reference None
Output Description

None

Output Description

None

Output Description

None

Output Description

None

Output Description

None

Output Description

None

  • units: ms-1
  • long_name: Doppler_radar_radial_wind_velocity
  • names: Doppler_radar_radial_wind_velocity
  • units: m
  • standard_name: height
  • long_name: Height
  • names: height, Height
  • units: degrees
  • long_name: beam_elevation
  • names: beam_elevation
  • long_name: observation_error_variance
  • units: m2s-2
  • names: observation_error_variance
  • units: ms-1
  • long_name: observation_minus_analysis
  • names: observation_minus_analysis
  • units: ms-1
  • long_name: observation_minus_background
  • names: observation_minus_background
  • units: m
  • long_name: radar_altitude
  • names: radar_altitude
  • long_name: radar_azimuth
  • units: degrees from N
  • names: radar_azimuth
  • units: 1
  • long_name: radar_id
  • names: radar_id
  • units: m
  • long_name: range_from_radar
  • names: range_from_radar

Co-ordinate Variables

  • standard_name: time
  • long_name: assimilation cycle time
  • units: hours since 1970-01-01 00:00:00
  • names: time, assimilation cycle time
  • units: degrees
  • standard_name: latitude
  • long_name: lat
  • names: latitude, lat
  • units: degrees
  • standard_name: longitude
  • long_name: lon
  • names: longitude, lon
Coverage
Temporal Range
Start time:
2013-06-01T00:00:00
End time:
2013-08-31T23:59:59
Geographic Extent

 
59.1000°
 
-7.9000°
 
2.1000°
 
50.0000°