Objective
Globally, there is increased concern of the potential impacts of extreme climate events and their impact on loss and damage of people, assets and property as a result of these events. Therefore, natural partners in using climate services to assess risk are the Global Insurance Sector, who are key implementers in increasing societies resilience and recovery of extreme events and who are integral, co-design partners in this programme. This project intends to operationalize a system, called the Oasis Loss Modelling Framework, that combines climate services with damage and loss information and provides a standardised risk assessment process that can assess potential losses, areas at most risk and quantify financial losses of modelled scenarios. We intend to prove the Oasis LMF system through undertaking a range of demonstrators linked and co-designed to ‘real’ situations and end-user communities in the insurance, municipalities and business sectors (see list of partners & collaborators). These demonstrators have already been agreed with our end-users and develop work around hydro-climatic risk (in the Danube Region), Typhoon Risk, African Farmer Risk – through using climate information to support the underwriting of micro-insurance, climate v health and climate v forest asset risk assessment. We also intend to further expand access by all sectors to the models, tools and services developed within this programme and the broader climate services sector by operationalizing an open eMarket place and matchmaking facility for catastrophe and climate data and models, tools and services and through broadening awareness in the climate modelling and end-users communities to the Framework, and the transparent and comparable standard it offers to support evidence based risk assessment and adaptation planning.
Fields of science
- social scienceseconomics and businessbusiness and managementinnovation management
- engineering and technologyother engineering and technologiesnuclear engineering
- social scienceseconomics and businessbusiness and managementbusiness models
- social sciencessociologygovernancecrisis management
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
14473 Potsdam
Germany
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Participants (22)
SW7 2AZ LONDON
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WC1R 4JS LONDON
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92100 Boulogne Billancourt
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
22211 120 RIO DE JANEIRO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2628 CN Delft
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14473 POTSDAM
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1021 BUDAPEST
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2800 Kongens Lyngby
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RG5 3LE READING
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
81675 Munchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
94736 Nogent Sur Marne
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24009 Leon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
13284 Marseille
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10117 Berlin
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1140 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1126 BUDAPEST
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21000 Novi Sad
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80634 Munchen
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00100 Nairobi
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Hong Kong
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E14 3TA LONDON
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SE10 0UG Greenwich
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.