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CaseXtreme

Financiado

Cerrado

ChAnges in the Statistics of EXTremes Events in cliMatE

Most of the developing countries are widely recognised to be vulnerable to climate risks. Climate-related disasters are already undermining record growth across the world, threatening hard-won gains and vulnerable populations’ liv... ver más

31/08/2018

AMIGO SRL

126K€

Presupuesto del proyecto: 126K€

Líder del proyecto

AMIGO SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-08-31

INNOSUP-02-2016: European SME innovation Associate -... Specific Challenge:The lack of access to skills, to latest knowledge and capacity to manage innovati...

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1 Participantes

AMIGO SRL

125.50K€ | Lider

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Duración del proyecto: 17 meses Fecha Inicio: 2017-03-03
Fecha Fin: 2018-08-31

Líder del proyecto

AMIGO SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 126K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Most of the developing countries are widely recognised to be vulnerable to climate risks. Climate-related disasters are already undermining record growth across the world, threatening hard-won gains and vulnerable populations’ lives and livelihoods; increasing climate volatility can only exacerbate this and counteract the investments being made by countries to mitigate, prepare for and manage current weather risks. Amigo is currently working on an international funded project called eXtreme Climate Facility (XCF) and it is developing a specific multi-hazard Extreme Climate Index (ECI). This index would be based on meteorological data and designed to capture the severity and frequency of heat, drought, flood and other extreme weather events. In order to create financial vehicles that tracks the frequency and magnitude of extreme climate shocks in developing countries and provides additional financing for countries already managing their current climate risks, it becomes necessary to develop specific methodologies to identify the changes in the frequency of extreme events as also requested by international organization and countries. With such instruments, the disbursement of climate adaptation funds to countries would be entirely data-driven over a 30 year, or some long term, adaptation period; if there are no significant increases in the frequency or magnitude of extreme weather events over current climatology, then no payments would be made. Where payments are made, countries would use those funds to invest in Disaster Risk Reduction (DRR) or climate change adaption measures specified in pre-defined country-level adaptation plans. In this framework, the first level Objective of the project CaseXtreme is to identify a suitable metric for the Statistical Significance of Changes in the Statistics of Extremes (SSCSE) in order to provide the baseline for the design of innovative financial products and risk management tools.

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