Improved Air Quality Forecasting (ISB52)

General Info

Title:	Improved Air Quality Forecasting (ISB52)
Type:	Data Entity
Sub-Type:	Simulation
Abbreviation:	isb52
Publication State:	published
The publication state of this metadata: 'old' - for redundant records; 'working' - for new/in progress records; 'published' - for records approaching maturity, which may still change, but should be available via the discovery services; and 'Published' for mature records that are unlikely to change and should be available via the discovery services.

URI:	http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__dataent_isb52

Summary
A brief description of the data.

This dataset contains data from the ISB52 Improved Air Quality Forecasting project. The aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK.

Content
The actual data being described by this document. NB, in the case of data granules, this content may just be a reference to an ingested CSML or CDML file.

Introduction

The Improved Air Quality Forecasting project (ISB52) was funded by the UK HM Treasury Invest to Save Budget.

The aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars, one of which was the UFAM (Universities Facility for Atmospheric Measurement) Doppler lidar. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK.

Project collaborators were the University of Essex, University of Salford, the UK Met. Office and QinetiQ. A software suite (DAViS) was developed by the University of Essex to visualise the Doppler lidar data in 3-D. QinetiQ were responsible for the overall project management and the enhancement and development of their Doppler lidar system to make it compatible with the UFAM Doppler lidar system which was operated by the University of Salford. The UK Met. Office provided dispersion model parameters and AMDARS data.

Data Access

The data is freely available to researchers involved in UK air quality forecasting with the proviso that the ISB52 project is acknowledged as the data source. The ISB52 data, associated documents and software remain Crown Copyright 2003.

The data and software providers would be interested in learning what uses the data and software have been requested for. Please contact the project team : Dr Fay Davies.

Data availability

The project data is now available from the BADC.

In addition to the lidar data, the archive contains eleven ISB52 reports along with the DAVis visualisation software.

Lidar data is provided in NetCDF format.

Documentation and Links to further information

ISB52 milestone reports are available in PDF format.
ISB52 data, documents and software in BADC archive
ISB52 Related webpages at
UFAM data web page at BADC
UFAM main web page at NERC
Details of UFAM Salford Doppler Lidar

Citation

Date of citation

Who to contact

If you have any queries regarding this web page or browsing the data please contact the BADC support team.

For further information regarding the ISB52 project or to contact the project team regarding the use of data or software please contact Dr Fay Davies.

Quality Statement
Description of the relative quality of the dataset.

Not known.

Author
The principal author of the actual underlying data. Only one author can be specified per atom; if there are multiple authors, these should be specified as 'contributors'. NB, an atom MUST have an author specified.

Name	email
Fay Davies, University of Salford

Contributors
Any other authors of the actual underlying data. NB, the principal author should be specified in the 'Author' input field. Also, note, three contributors can be added at once; after these are added a further three may be specified - and so on.

Name	email
Holt, A.R
Pearson, G.N.
Collier, C.G
Upton, G.
Willetts, D.V
Middleton, D.R
Young, R.I
Siemen, S.
Bozier, K

Online References
Online references with a specific relationship to the data being described here. NB, if links are supplied they must be valid and include the transport protocol - e.g. 'http://blah.co.uk'. Also, note, three online references can be added at once; after these are added a further three may be specified - and so on.

Relation	Title
Download	ISB52 Data Directory
Logo	ISB Logo

Parent Data Entity
Define the parent of this record. There should probably only be one parent, but this is not enforced.

No data specified at present

Sub Data Entities
Lists all entities which have the current entity as their parent.

None

Associated Deployments

Data Coverage
Summary of the temporal and spatial data coverage for the data.

Spatial coverage
Max Y: 60.0
Min X: -10.0	Max X 10.0
Min Y 50.0

Temporal coverage
Start Date:	2003-03-01
End Date:	2003-12-31

Spatial resolution

No spatial resoultion information available.

Vertical extent

No vertical extent information available.

Responsible Parties
Parties responsible for the metadata - e.g. data curator. Responsible parties can have a role specified to make their function clearer. Multiple responsible parties can be specified.

Role	Name	URI
Data Curator	badc.nerc.ac.uk	http://badc.nerc.ac.uk

Other Info
Other miscellaneous information. Note, update frequency relates to the update frequency of the underlying data, not the metadata.

Dataset language

English

Update frequency

notPlanned

Links and Services
	Downloadable XML version of this record

Not all information in this record may be rendered in this view. Please see the XML version for complete content

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