meteoblue - Version climate+ -Risk Assessment Data Software

Climate prediction data until the end of the 21st century
climate+ offers consistent climate prediction data in hourly resolution until the end of the 21st century for air temperature, precipitation, and a wide range of derived variables, such as the number of tropical nights, or hot days per year.

Worldwide availability
Climate prediction data is available for any place on Earth at a spatial resolution of 30 km. Therefore, this data is assembled into continuous time series in hourly time steps (on which the monthly and yearly aggregations are based).

Uncertainty assessment
Interannual variability is resolved by combining uncertainties based on the long term ERA5 time series with the ensemble mean, maximum, and minimum values of the climate change RCP scenario. Thus, the prediction uncertainties are quantified, and can be assessed in order to take better strategic decisions.

All common RCP emission data are included
All four RCP emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5) are available in climate+. The climate change scenarios are used in the IPCC reports to estimate the spread of future developments, depending on the achieved CO2 reduction. climate+ allows for analyses of both standard meteorological years, and extreme meteorological years.

Consultation on climate data
A climate+ subscription comes along with a free-of-charge monthly webinar, in which we answer users` questions, recommend suitable options on how to integrate the data into different platforms, and explain the physical limitations of the datasets.

Multiple formats
The data can be interactively analysed on the web and downloaded as CSV files. Boxplot graphics for 30-year and 10-year time periods enable the users to assess the uncertainty range. Downloaded CSV files can easily be imported into various professional applications.

Many regions worldwide currently cope with challenges such as the increase in frequency of extreme air temperatures, storms, and flooding events resulting from heavy precipitation. Due to climate change, such extreme events will occur more often in the future. This trend will increase both the risk of economic damage, and physical stress (or even life risk) caused by weather hazards. The meteoblue climate+ climate risk assessment data service offers an easy summary of complex climate change simulations for any location on Earth, based on different emission scenarios of the IPCC report. This dataset can be used to fulfil the requirements for the EU taxonomy and other regulatory frameworks for climate risk assessments. meteoblue is committed to reinvest 5% of the revenue from climate+ in climate change mitigation projects.

Yearly aggregations

This diagram shows the yearly averaged mean air temperature for four different time periods (reference period, 2021 - 2050, 2046 - 2075, 2071 - 2100), and four different emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5; in different colours) for Basel (CH). The boxplots in the diagram show the variability within the selected period, and represent typical and extreme meteorological years.

This diagram indicates the yearly averaged mean air temperature for four different emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5) for the period 2091 - 2100 for Basel (CH). A “low”, “medium” and “high” scenario is calculated, based on the classification of a 30-year reference period in “low”, “medium”, and “high” yearly mean air temperatures.

The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological years.

Monthly aggregations

This diagram displays the monthly averaged mean air temperature for four different time periods (reference, 2021 - 2050, 2046 - 2075, 2071 - 2100; in different colours) for the RCP8.5 emission scenario for Basel (CH). The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological months.

This diagram shows the monthly averaged mean air temperature for the RCP8.5 emission scenario for the period of 2091 - 2100 for Basel (CH). A “low”, “medium” and “high” scenario is calculated based on a classification of a 30-year reference period in “low” “medium”, and “high” yearly mean air temperatures.
The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological months.

Data download

The hourly time series of air temperature and precipitation can be downloaded as CSV file for each RCP emission scenario, and for a 10-year period (e.g., 2071 - 2080). Note that these are synthetic data, i.e., they can be used for statistical applications but NOT to forecast the weather for a specific time (e.g., 21st January 2071 10:00 UTC). We offer three different time series: “Low”, “Medium” and “High”, instead of one time series.

The simple reason for that is the fact that as indicated above, we are not able to forecast precipitation and air temperature for a specific time this far in the future. This method helps the users understand the uncertainty range within the interannual variability. The classification of the “low”, “medium” and “high” values is based on yearly average air temperatures of the 30-year reference period. Contact us in the free monthly webinar if you have further questions regarding the dataset.

• Instant and easy access to climate prediction and climate risk assessment data
• Perfect solution to meet the requirements of the EU taxonomy
• Prediction data until the end of the 21st century
• Selection from variables such as air temperature, precipitation, number of hot days, number of tropical nights, and more
• Considers all four RCP emission scenarios (2.6, 4.5, 6.0 and 8.5) used by IPCC
• Uncertainty assessment
• Available for any location worldwide
• Hourly data with a spatial resolution of 30 km
• Climate data consultation with our climate experts
• Multiple formats available
• meteoblue commits to reinvest 5% of the product`s revenue in climate change mitigation projects