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.

The Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC) project undertook a series of studies to design and test efficient and effective ways of assimilating moisture information from observations that respect the intricate dynamical and physical relationships that operate in the atmosphere. The aim of this work was, if successful, that such new approaches would allow better use of cloud and rain affected observations than previously. Predicting convective rain is made harder by the fact that some events are inherently unpredictable, even with good data assimilation and models, due to their high sensitivity to even small errors in the initial conditions. Studies were also made to look at the dynamical reasons for the low predictability of such events using diagnostics derived from models and observations. To these ends this collection contains data from two of the studies within this project plus helical scan data from the Met Office's Wardon Hill radar utilised by the project team.

The two datasets from the project team cover ensemble member output from runs of the Met Office's Unified Model conducted to support the project and Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme. Please see the individual datasets for additional information.

For further details of the FRANC project please also see Dance et al. (2019) article in the online resources linked to from this record: Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project.

Date (Publication)

Date (Creation)

Citation identifier: https://catalogue.ceda.ac.uk/uuid/333bf4303034426a857515a768387e4f

Citation identifier: Centre for Environmental Data Analysis (CEDA) / 333bf4303034426a857515a768387e4f

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Unavailable	Dance, Sarah L.	Unavailable	Author
Unavailable	Flack, David L. A.	Unavailable	Author
Unavailable	Waller, Joanne A.	Unavailable	Author
Unavailable	Simonin, David	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
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Distributor
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: Unknown

Update scope: Series

Keywords

Doppler radial winds
data assimilation
convection permitting numerical weather prediction
convection
ensemble runs
CAPE
perturbation

GEMET - INSPIRE themes, version 1.0

atmospheric conditions

Access constraints: Other restrictions

Other constraints: Please contact the data centre for assistance on accessing data from this dataset collection.

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.

Other constraints: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic 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.

Other constraints: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy 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

Begin date: 2013-04-20T00:00:00

End date: 2018-01-16T23:59:59

Unique resource identifier: WGS 84

Distribution format

Name	Version
Contact data centre for format details.

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/333bf4303034426a857515a768387e4f	CEDA Data Catalogue Page

OnLine resource

Protocol	Linkage	Name
	http://blogs.reading.ac.uk/flooding/	Flooding From Intense Rainfall programme website, including details of the FRANC project

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.3390/atmos10030125	Dance, S.L.; et al. Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project. Atmosphere 2019, 10, 125 doi:10.3390/atmos10030125

Hierarchy level: Series

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: Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier: 333bf4303034426a857515a768387e4f XML

Metadata language: English

Character set: UTF8

Hierarchy level: Series

Hierarchy level name: series

Date stamp: 2025-08-12T02:29:17

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

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