SWIMMR-Acceleration

Award

Buyers

Met Office

Value

£30,625

Suppliers

University of Birmingham

Classifications

Research and development services and related consultancy services

Tags

award

Submission Deadline

3 months ago

Published

1 month ago

Description

Collaborate with Met Office operations team in implementation of the AENeAS model on the operational HPC 

Provide technical and scientific support to the Met Office Space Weather Research team for the model delivered as part of the SWIMMR programme, including: 

participate in knowledge exchange to enable Met Office to become more self-sufficient in model maintenance. 

provide feedback on new ways of visualising and interpreting the data as proposed by the MO based on user engagement. 

effective and regular comms via attendance at technical meetings and other project meetings as required. 

work with MO staff to design and deliver appropriate user guides  

collaborate with MO to agree on long term plans and risk identification and mitigation

Documents

Premium

Bypass the hassle of outdated portals. Get all the information you need right here, right now.

Contract Agreement

The official contract terms, conditions, and scopes of work.

Download
Award Notice

Details on the tender award and selected suppliers.

Download

Similar Contracts

Open

Clean Energy Feasbility

Ambition North Wales is seeking to procure a supplier to undertake feasibility studies for small-medium size clean energy projects, to strengthen project plans and readiness ahead of implementation. See tender pack for full information.

Published 8 minutes ago

Open

Advancing the metabarcoding assay validation framework

DNA-based methods have the potential to significantly change how we monitor and assess ecosystems. Natural England has been exploring the use of these methods for environmental monitoring for several years, delivering a series of reports which focus on the development of DNA-based methods with potential in a particular area. These methods are now being used more widely within Natural England, particularly the detection of ecological communities using environmental DNA (eDNA). This is often conducted by employing metabarcoding assays which target specific species assemblages (e.g. fish, mammals) or broader taxonomic groups (e.g. vertebrates, invertebrates, bacteria). The DNA Team aims to operationalise DNA-based methods and produces guidance for using them in monitoring projects. In order to provide sound recommendations, it is important that we understand the limitations of, and uncertainties with, DNA-based methods. Natural England staff need to be able to understand how DNA-derived data can be used, and the confidence they can have in data derived using different DNA-based methods which have been validated to different stages. Natural England previously commissioned the development of a framework to enable end users to assess confidence in metabarcoding assays and results (Pagaling and others, under review; a copy of the framework can be provided by Natural England upon request by emailing [email protected]). By using the checklist and levelled scale, end users can appropriately interpret results. It also provides validation and reporting standards for the development of new metabarcoding assays. The framework will enable end-users to determine the recommended scenarios for application of a given assay and improve assay performance with further validation. As part of development, the framework was trialled against five commonly used assays in the eDNA literature, with specific climate and habitat combinations to account for inherent differences in biodiversity between climates and different workflows used across habitats. Due to time and resource, only temperate climates and one or two habitats for each assay were considered, and the number of metabarcoding studies evaluated to assign a level for each assay varied. This project will advance the metabarcoding assay validation framework by expanding upon this trial to conduct a comprehensive literature review and meta-analysis, covering more assays being used for different purposes and in different contexts. Feedback on the framework will be sought from the wider eDNA community and a user guide created for applying the framework.

Published 2 days ago

Open

FSA Meat Charging Discount Regime Research

The objective of the research is to address evidence gaps in our understanding of the effects of the discount regime, and bolster our ability to contrast the economic impact that any different approach could have on businesses and the wider economy. Once completed, the findings of the research will feed into future policy development and an economic Impact Assessment. Different policy options will be evaluated within the IA. Regardless of the options ultimately evaluated in the IA, the impacts of full cost recovery – the counterfactual – will need to be understood in line with HM Treasury Green Book guidance in order to appraise options against it

Published 3 days ago

AI Bid Assistant

Our AI-powered tool to help you create winning bids is coming soon!

View Contract Source Save Contract

Organisation

Met Office

National or federal agency/office

Melanie Staton

[email protected]

7976832449

Timeline complete

Publish

Bid

Evaluate

Award

Complete