333bf4303034426a857515a768387e4f
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
series
series
Centre for Environmental Data Analysis (CEDA)
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-25T01:10:25
UK GEMINI
2.3
WGS 84
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.
publication
creation
http://catalogue.ceda.ac.uk/uuid/333bf4303034426a857515a768387e4f
333bf4303034426a857515a768387e4f
Centre for Environmental Data Analysis (CEDA)
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.
Dance, Sarah L.
Unavailable
author
Unavailable
author
Flack, David L. A.
Unavailable
author
Unavailable
author
Waller, Joanne A.
Unavailable
author
Unavailable
author
Simonin, David
Unavailable
author
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Nichols, Nancy K.
Unavailable
author
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Ballard, Susan P.
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author
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author
Centre for Environmental Data Analysis (CEDA)
custodian
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
custodian
Centre for Environmental Data Analysis (CEDA)
distributor
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
Centre for Environmental Data Analysis (CEDA)
point_of_contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointofContact
Centre for Environmental Data Analysis (CEDA)
publisher
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
publisher
unknown
series
Doppler radial winds
data assimilation
convection permitting numerical weather prediction
convection
ensemble runs
CAPE
perturbation
atmospheric conditions
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Please contact the data centre for assistance on accessing data from this dataset collection.
otherRestrictions
Usage limitations for the data within this collection is set at the individual dataset level.
Please refer to the licence details of each underlying dataset.
grid
English
climatologyMeteorologyAtmosphere
-13.0
4.0
48.94
60.8
2013-04-20T00:00:00
2018-01-16T23:59:59
Contact data centre for format details.
Centre for Environmental Data Analysis (CEDA)
Data Center Contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
http://catalogue.ceda.ac.uk/uuid/333bf4303034426a857515a768387e4f
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://blogs.reading.ac.uk/flooding/
Flooding From Intense Rainfall programme website, including details of the FRANC project
No further details.
information
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
No further details.
information
series
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
2010-12-08
Please see data lineage statements for each dataset within this collection for data lineage details.