Open Tenderocds-b5fd17-95fc63cd-6eb2-4719-818d-48b65a3c2988

Environment Agency: Rapid Evidence Assessment on Probabilistic and Deterministic Modelling

We require a rapid evidence assessment using the methodology developed by Defra/ NERC Joint Water Evidence Group (Collins et al., 2015) to identify evidence available on the topic of the use of deterministic and probabilistic models in flood risk activities, and summarise and provide a critical assessment of the evidence. Please note that this is a separate to opportunity FRS19218a Additional information: To apply please respond to the attached Invitation to Quote and associated documents. Email your response to [c...

Buyer

DEPARTMENT FOR ENVIRONMENT FOOD & RURAL AFFAIRS

Value

£45,000

Published

31 Jan 2020

Closes

24 Feb 2020

Procurement details

Source

Contracts Finder

Region

United Kingdom

Procurement method

Open

Category

Services

Contract starts

Not provided

Contract ends

Not provided

CPV classifications

73210000

Research consultancy services

Lots

Lot default Environment Agency: Rapid Evidence Assessment on Probabilistic and Deterministic Modelling

£45,000

We require a rapid evidence assessment using the methodology developed by Defra/ NERC Joint Water Evidence Group (Collins et al., 2015) to identify evidence available on the topic of the use of deterministic and probabilistic models in flood risk activities, and summarise and provide a critical assessment of the evidence. Please note that this is a separate...

Delivery: British Oversea Territories, Channel Islands, Europe, Isle of Man, Rest of the World, United Kingdom

Opportunity notice on Contracts Finder

24 Jan 2020

Opportunity notice on Contracts Finder

Tender notice · Web page

Invitation letter, specification and tender response template

Not provided

Invitation letter, specification and tender response template

Tender notice · Word document

Conditions of contract

Not provided

Conditions of contract

Tender notice · OpenDocument text

Contains public sector information licensed under the Open Government Licence v3.0.