As for our team, listening to the presentations of dr. Alice Crespi and dr. Kathrin Renner, we learned the following:
- Analising and evaluating of past and even future conditions of the climte can help us to identify the couses and hazards in diverse sectors.
- In order to do this, we must conciliate climate information and key environmental data, including statistics, mesurments, physics and even social siences
What are the variables that need to be mesured during climate related researches?
- Not only do we need to consider the changes in temperature in order to analyse climate courses, but there are other attributes too. In the Alps for example snow-depht can be an indicator, as well as the decreasing biodiversion of a region. The amount and frequency of rainfalls is also playing a crucial role in the climate.
What are some statistical and analitical models they use?
- We can match probability distribution of model and observation.
- Model the relationship between large-scale atmospheric variables and surface target conditions. Use global climate models and downscale them to regional ones.
- Spatio-temporal analysis is most commonly used now as a precise representation of regional climate features.
Why are these measurements and climate modles important?
- “Know our present to undersand past and future changes.”
- Since the 1880s meterological phenomenals were recorded – these statistics are still used in wide scale enviromental modelling. History simply proves how effective these can be.
The mesurments of today are increasingly precise, making it possible to predict the future accurately out of statistics. (rainfalls, droughts, floods as well as landslides).
