# GB-Lowestoft: For modelling Hurricane Irma effects on the nearshore and coastal regions of Antigua and Barbuda

> Contract award record from UK public-sector procurement sources.

## Key facts

- Public buyer: [Cefas](/buyers/cefas/contract-awards)
- Contract winner: Ulster University
- Award value: £15,500
- Tender value: £15,500
- Award date: 14 March 2019
- Published: 10 June 2019
- Contract start: 15 March 2019
- Contract end: 29 March 2019
- Stage: awarded
- Procurement category: services
- Notice ID: a6933b80-147c-4056-b3c9-7fa27fa5c408-294370
- OCID: ocds-b5fd17-6d02687d-912b-4ab7-9157-3a1d1a827237

## Description

Cefas is a multidisciplinary scientific research and consultancy centre, employing over 500 staff, delivering solutions to meet the diverse needs of public and private sector businesses and organisations active in marine, coastal, estuarine and freshwater environments\. In 2017 the Category 5 hurricane, Irma struck the Caribbean small island state of Antigua and Barbuda\. This opportunity will examine the differences in habitat settings as a result of the hurricane as well as the changes in the coastal zone \(expressed as changes in digital elevation models\)\. A further aspect will be to estimate the inundated terrestrial landscape resulting from storm surge and run up\. The main requirements will be to undertake coastal modelling, using satellite derived bathymetry and digital surface model data, provided by Cefas, to deliver the products required for the broader project\. To find out further information and to respond to this opportunity, please follow this link: https://www\.delta-esourcing\.com/respond/9MRAFXK98N Additional information: The contracting authority considers that this contract may be suitable for economic operators that are small or medium enterprises \(SMEs\)\. However, any selection of tenderers will be based solely on the criteria set out for the procurement\.

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## Source

[View the original notice on Contracts Finder](https://www.contractsfinder.service.gov.uk/Notice/a6933b80-147c-4056-b3c9-7fa27fa5c408-294370)
