Support for climate services
The analysis and graphical representation of climate data are no longer exclusively reserved for scientists!
What is it all about?
Around the world, Environmental programs
In Europe, the Copernicus program gathers all climate data in the Climate Data Store (CDS) coordinates the collection, centralization and standardization of climate observation and modeling data – originally scattered across different research teams and scientific institutions – for use by society:
An essential step in planning strategies for mitigating and adapting to climate change, the analysis of climate data enables the characterization of climate hazards extreme events or gradual changes more difficult for human senses to perceive, such as desertification of arid areas or sea-level rise according to various socio-economic narratives.
Data visualization is a powerful communication tool that brings scientific data to life, facilitating access to science and conveying key messages.
CLIMEDIA draws on its expertise in climate science to help make the most of this data.
CLIMEDIA’S OFFER
Climate diagnostics on a regional scale
- Study of the evolution of standard climate variables temperature, precipitation, sea level, snow cover,… and extreme weather events heat waves, storms, droughts,…
- Synthesis of historical climate trends based on observations and numerical climate simulations
- Assessment of all possible future climates based on numerical simulations and socio-economic scenarios
Data visualization for communication and teaching purposes
- Graphical representation: time series, 2D map, histogram, etc.
- Statistics, uncertainty calculations
A few examples of applications:
- Communicating on high-impact weather events, assessing their exceptional nature and their link with global warming
- Creating an infographic or conceptual diagram for teaching purposes
Engaging with and manipulating data through practical exercises
Training to become autonomous in climate data processing and analysis
Objectives:
- Understanding how climate science community generates its data and associated uncertainties, and builds confidence in its findings
- Being familiar with all available data, their uses, advantages and interpretation limits
- Being able to extract climate information to address specific needs (choosing data, how to process, analyze, and graphically represent them using concrete examples)
