Each subject represents a key variable in climate analysis. Understanding these indicators is essential for performing robust and meaningful risk assessments.
This indicator reflects the long-term mean air temperature at 2 meters, essential for tracking global warming trends and seasonal climate behavior.
Captures the highest daily or hourly air temperatures. It's a key metric for assessing heatwaves, thermal stress on infrastructure, and human health risks. This indicator includes extreme value analysis, estimating maximum heat expected once every 5 to 100 years across various periods.
Represents the lowest hourly or daily air temperatures, useful for frost risk, cold-weather damage assessment, and understanding nighttime cooling trends. This indicator includes extreme value analysis, estimating coldest temperature expected once every 5 to 100 years across various periods.
Measures the typical rainfall over a time period, offering insight into water availability, drought risk, and agricultural planning.
Represents extreme daily rainfall and its probability, essential for assessing flood risks, drainage design, and stormwater management. This indicator includes extreme value analysis, showing the rainfall amounts expected once every 5 to 100 years across different time horizons.
Estimate peak wind speeds over sustained periods ranging from 1 hour to 3 seconds, essential for wind load assessment on infrastructure and insurance modeling. This indicator includes extreme value analysis.
Tracks long-term rises in mean sea level caused by melting ice sheets, glacier loss, and the thermal expansion of seawater. Essential for assessing coastal flooding risks and design offshore infrastructure.
Evaluates significant and maximum wave heights, as well as wave periods, influenced by wind and ocean conditions. Useful for coastal risk assessment, maritime safety, and offshore project design. Includes extreme value analysis.
Estimates the potential electricity generation from wind turbines based on climatic conditions. Essential for forecasting renewable energy yields and assessing long-term supply reliability.
Estimates the potential electricity generation from PV systems based on climatic conditions. Essential for forecasting renewable energy yields and assessing long-term supply reliability.