Change Data

We provide high value climate data adapted to the assessment of physical climate risk to ensure the resilience of your activities.

Managing risks

Risk management allows you to develop a strategy aimed at minimizing the consequences of climate change while identifying opportunities to modify your activities over the long term.

While some opportunistic measures are based on already experienced climate change, the more we know about future impacts, the better the long-term responses and strategies that can be designed to deal with them.

Any structure or territory is exposed to physical climate risk.

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The question is, how?

Physical climate risks include the entire spectrum of risks, from gradual changes so-called chronic (increase in temperature, modification of precipitation patterns) to extreme phenomena qualified as acute (droughts, heavy precipitation, storms, etc.).

Any structure must consider all the external risk factors that can hinder its activities.

Access to qualified climate data is a major challenge for climate-related risk analyses.

Physical risk analysis relies on climate risk indicators to account for a climate change-induced natural hazard. Climate indicators must be qualified by their spatial resolution and their reliability, especially if the risk of transition is subsequently assessed.

The resolution of current climate models is too coarse (~ a hundred kilometers) with inherent errors (bias) related to their physical parameterization. Also, the use of alternative methods is essential to generate climate information or “indicator” finely spatialized.

We carry out a rigorous evaluation to refine model spatial resolution, correct and improve the ensembles of climate simulations, not only on the mean value, but also in terms of occurrence and intensity of extremes.

The alternative methods of statistical downscaling and bias correction applied to historical simulation ensembles are extended to future climate simulation ensembles without influencing climate change signal.

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Climate risk

There are four key components of physical climate risk to consider in any analysis:

Hazards refers to climate-related physical events or trends that may cause asset damage, social and economic disruption, even loss of life or environmental degradation. Hazards are characterized by their intensity and their probability of occurrence. Climate hazards have a direct impact on a site (infrastructure, crop plot, building, etc.), but the way in which climate hazards impact the site will vary depending on its geographical location as different regions exhibit distinct climate patterns.

It is possible to analyze and quantify how a site or a territory will be exposed to climate hazards. A climate hazard (e.g., heat waves) is physically represented by indicators (e.g., WSDI indicator — duration and frequency of heat waves) making it possible to assess in a quantified way whether the geographical space of your site is weakly, moderately, or strongly exposed to the climate hazards.

The sensitivity of a site to climate hazards depends on multiple socio-economic, physical, human, and environmental criteria. Assessing sensitivity is above all assessing whether the consequences of a hazard are potentially low, medium, high, or very high. This is based on the analysis of local expertise related to the intrinsic characteristics of the site. Take for example the “forest fire” hazard represented by the Weather Fire Indicator (IFM) index. The sensitivity of a specific site to the “forest fire” hazard will be high if the forest area is large and if flammable compounds are present on site.

Vulnerability is a function of sensitivity, adaptive capacity, and exposure to climate hazards. Adaptive capacity that is low, relative to exposure and sensitivity, contributes to high vulnerability. By contrast, higher adaptive capacity helps reduce the effects of exposure and sensitivity, and in turn reduces vulnerability. Hence, each site has its own level of physical vulnerability to climate change.

For who ?

The climate data we provide are intended for local authorities as well as financers and insurance, infrastructures sector, farmers, or water management.


The benefits offered by
our service

Complete geographic coverage

France and International

Choice of future horizons

Between 2025 and 2100

Choice of reference

1971-2015 or 1981-2010

Very high spatial resolution
and adapted to your needs

Up to 1 km or site specific

Extended climate model ensemble


Several socio-economic scenarios


Our user cases

Discover our case studies:
Climate Change Data

Prospective study of climate change impact on water resources in Isère
Department of Isère
Prospective study of climate change impacts on the water needs and resources of the Lot catchment by 2050
Risk assessment and design support for climate resilient water services in Borana (Ethiopia)
Global Center for Adaptation -- Resallience
High-resolution projection dataset of agroclimatic indicators
Weather Measures
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Prospective study on the future evolution of the climate and water resources in the Argens watershed
Société du Canal de Provence
Characterization of climate change and water resources, impacts for the integrated management of resources and vulnerabilities of water uses.
Department of Corrèze - Resallience


Have a vision on Climate Change Data